pipeline_tag stringclasses 48
values | library_name stringclasses 198
values | text stringlengths 1 900k | metadata stringlengths 2 438k | id stringlengths 5 122 | last_modified null | tags listlengths 1 1.84k | sha null | created_at stringlengths 25 25 | arxiv listlengths 0 201 | languages listlengths 0 1.83k | tags_str stringlengths 17 9.34k | text_str stringlengths 0 389k | text_lists listlengths 0 722 | processed_texts listlengths 1 723 | tokens_length listlengths 1 723 | input_texts listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-2
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingfa... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-2 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-31m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:12:46+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-2
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedu... | [
"# robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-2\n\nThis model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information neede... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-2\n\nThis model is a fine-tuned version o... | [
62,
59,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-2\n\nThis model is a fine-tuned version of Eleu... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-tt-14m-mz-advt-v0-ts-20000-s-1
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingfa... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-tt-14m-mz-advt-v0-ts-20000-s-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-14m-mz-advt-v0-ts-20000-s-1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-14m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:13:03+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-tt-14m-mz-advt-v0-ts-20000-s-1
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedu... | [
"# robust_llm_pythia-tt-14m-mz-advt-v0-ts-20000-s-1\n\nThis model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information neede... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-tt-14m-mz-advt-v0-ts-20000-s-1\n\nThis model is a fine-tuned version o... | [
62,
59,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-tt-14m-mz-advt-v0-ts-20000-s-1\n\nThis model is a fine-tuned version of Eleu... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-1
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingfa... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-31m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:13:05+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-1
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedu... | [
"# robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-1\n\nThis model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information neede... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-1\n\nThis model is a fine-tuned version o... | [
62,
59,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-tt-31m-mz-advt-v0-ts-20000-s-1\n\nThis model is a fine-tuned version of Eleu... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["cs"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-cs-bloom-560m | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"cs",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:13:24+00:00 | [
"2309.08958"
] | [
"cs"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #cs #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-560m
* Instruction tuning languag... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-560m\n* Instruction ... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #cs #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #cs #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-2
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingfac... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-2 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-14m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:13:35+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-2
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedur... | [
"# robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-2\n\nThis model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-2\n\nThis model is a fine-tuned version of... | [
62,
58,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-2\n\nThis model is a fine-tuned version of Eleut... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-1
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingfac... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-14m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:13:53+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-1
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedur... | [
"# robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-1\n\nThis model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-1\n\nThis model is a fine-tuned version of... | [
62,
58,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-14m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-tt-14m-mz-advt-v0-ts-2000-s-1\n\nThis model is a fine-tuned version of Eleut... |
sentence-similarity | sentence-transformers |
# peulsilva/phrase-bert-setfit-500shots-RAFT-ETHOS
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | peulsilva/phrase-bert-setfit-500shots-RAFT-ETHOS | null | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:14:07+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# peulsilva/phrase-bert-setfit-500shots-RAFT-ETHOS
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-trans... | [
"# peulsilva/phrase-bert-setfit-500shots-RAFT-ETHOS\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
"## Usage (Sentence-Transformers)\n\nUsing this model becomes easy when you have sent... | [
"TAGS\n#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us \n",
"# peulsilva/phrase-bert-setfit-500shots-RAFT-ETHOS\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can... | [
30,
57,
30,
58,
26,
70,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us \n# peulsilva/phrase-bert-setfit-500shots-RAFT-ETHOS\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be us... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-tt-31m-mz-advt-v0-ts-2000-s-1
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingfac... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-tt-31m-mz-advt-v0-ts-2000-s-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-31m-mz-advt-v0-ts-2000-s-1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-31m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:14:10+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-tt-31m-mz-advt-v0-ts-2000-s-1
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedur... | [
"# robust_llm_pythia-tt-31m-mz-advt-v0-ts-2000-s-1\n\nThis model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-tt-31m-mz-advt-v0-ts-2000-s-1\n\nThis model is a fine-tuned version of... | [
62,
58,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-31m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-tt-31m-mz-advt-v0-ts-2000-s-1\n\nThis model is a fine-tuned version of Eleut... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | salangarica/BioMistral-RAG-k3 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:14:36+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model th... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["de"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-de-bloom-560m | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"de",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:14:56+00:00 | [
"2309.08958"
] | [
"de"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #de #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-560m
* Instruction tuning languag... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-560m\n* Instruction ... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #de #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #de #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
null | null | This repository contains finetuned models from the paper [Edisum: Summarizing and Explaining Wikipedia Edits at Scale](https://arxiv.org/pdf/2404.03428.pdf). For more details see the [home GitHub page](https://github.com/epfl-dlab/edisum).
The repo contains 5 models:
- **Edisum[0%]** (edisum_0.ckpt)
- **Edisum[25%]** ... | {"license": "mit", "datasets": ["msakota/edisum_dataset"], "arXiv": "https://arxiv.org/pdf/2404.03428.pdf"} | msakota/edisum | null | [
"dataset:msakota/edisum_dataset",
"arxiv:2404.03428",
"license:mit",
"region:us"
] | null | 2024-04-04T16:16:05+00:00 | [
"2404.03428"
] | [] | TAGS
#dataset-msakota/edisum_dataset #arxiv-2404.03428 #license-mit #region-us
| This repository contains finetuned models from the paper Edisum: Summarizing and Explaining Wikipedia Edits at Scale. For more details see the home GitHub page.
The repo contains 5 models:
- Edisum[0%] (edisum_0.ckpt)
- Edisum[25%] (edisum_25.ckpt)
- Edisum[50%] (edisum_50.ckpt)
- Edisum[75%] (edisum_75.ckpt)
- Edisum... | [] | [
"TAGS\n#dataset-msakota/edisum_dataset #arxiv-2404.03428 #license-mit #region-us \n"
] | [
34
] | [
"TAGS\n#dataset-msakota/edisum_dataset #arxiv-2404.03428 #license-mit #region-us \n"
] |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-en-bloom-560m | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"en",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:16:13+00:00 | [
"2309.08958"
] | [
"en"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #en #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-560m
* Instruction tuning languag... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-560m\n* Instruction ... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #en #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #en #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-es-bloom-560m | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"es",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:17:43+00:00 | [
"2309.08958"
] | [
"es"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-560m
* Instruction tuning languag... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-560m\n* Instruction ... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NobodyExistsOnTheInternet/Medium-Rare-DPO-70b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Medium-Rare-DPO-70b-i1-GGUF
## Usage
If you are unsure how to use G... | {"language": ["en"], "library_name": "transformers", "base_model": "NobodyExistsOnTheInternet/Medium-Rare-DPO-70b", "quantized_by": "mradermacher"} | mradermacher/Medium-Rare-DPO-70b-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:NobodyExistsOnTheInternet/Medium-Rare-DPO-70b",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:18:04+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-NobodyExistsOnTheInternet/Medium-Rare-DPO-70b #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-NobodyExistsOnTheInternet/Medium-Rare-DPO-70b #endpoints_compatible #region-us \n"
] | [
40
] | [
"TAGS\n#transformers #gguf #en #base_model-NobodyExistsOnTheInternet/Medium-Rare-DPO-70b #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["fi"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-fi-bloom-560m | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"fi",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:19:06+00:00 | [
"2309.08958"
] | [
"fi"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fi #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-560m
* Instruction tuning languag... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-560m\n* Instruction ... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fi #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fi #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-classification | transformers |
# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed by the [ACCORD](https://accordproject.eu/) project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.
It consists of several pre-trained/fine-tuned machine learning mo... | {"language": ["en"], "license": "apache-2.0", "datasets": ["ACCORD-NLP/CODE-ACCORD-Relations"]} | ACCORD-NLP/re-roberta-large-lm | null | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:ACCORD-NLP/CODE-ACCORD-Relations",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:20:06+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #roberta #text-classification #en #dataset-ACCORD-NLP/CODE-ACCORD-Relations #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed by the ACCORD project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.
It consists of several pre-trained/fine-tuned machine learning models to perform the following... | [
"# ACCORD-NLP\n\nACCORD-NLP is a Natural Language Processing (NLP) framework developed by the ACCORD project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.\nIt consists of several pre-trained/fine-tuned machine learning models to perform the fo... | [
"TAGS\n#transformers #pytorch #roberta #text-classification #en #dataset-ACCORD-NLP/CODE-ACCORD-Relations #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# ACCORD-NLP\n\nACCORD-NLP is a Natural Language Processing (NLP) framework developed by the ACCORD project to facilitate Autom... | [
52,
127,
3,
5,
5,
7,
11,
27
] | [
"TAGS\n#transformers #pytorch #roberta #text-classification #en #dataset-ACCORD-NLP/CODE-ACCORD-Relations #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# ACCORD-NLP\n\nACCORD-NLP is a Natural Language Processing (NLP) framework developed by the ACCORD project to facilitate Automated C... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-large-v2-mn-13
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-lar... | {"language": "mn", "license": "apache-2.0", "tags": ["whisper-event", "hf-asr-leaderboard", "generated_from_multiple_datasets"], "datasets": ["mozilla-foundation/common_voice_11_0", "google/fleurs", "bayartsogt/ulaanbal-v0", "bayartsogt/youtube-mongolian-v1"], "metrics": ["wer", "cer"], "model-index": [{"name": "whispe... | shiv6146/whisper-large-v2-mn | null | [
"transformers",
"pytorch",
"tensorboard",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"hf-asr-leaderboard",
"generated_from_multiple_datasets",
"mn",
"dataset:mozilla-foundation/common_voice_11_0",
"dataset:google/fleurs",
"dataset:bayartsogt/ulaanbal-v0",
"dataset:bayartsogt... | null | 2024-04-04T16:20:10+00:00 | [] | [
"mn"
] | TAGS
#transformers #pytorch #tensorboard #whisper #automatic-speech-recognition #whisper-event #hf-asr-leaderboard #generated_from_multiple_datasets #mn #dataset-mozilla-foundation/common_voice_11_0 #dataset-google/fleurs #dataset-bayartsogt/ulaanbal-v0 #dataset-bayartsogt/youtube-mongolian-v1 #license-apache-2.0 #mode... | whisper-large-v2-mn-13
======================
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1689
* Wer: 20.0240
* Cer: 6.6010
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
"TAGS\n#transformers #pytorch #tensorboard #whisper #automatic-speech-recognition #whisper-event #hf-asr-leaderboard #generated_from_multiple_datasets #mn #dataset-mozilla-foundation/common_voice_11_0 #dataset-google/fleurs #dataset-bayartsogt/ulaanbal-v0 #dataset-bayartsogt/youtube-mongolian-v1 #license-apache-2.0... | [
120,
127,
5,
50
] | [
"TAGS\n#transformers #pytorch #tensorboard #whisper #automatic-speech-recognition #whisper-event #hf-asr-leaderboard #generated_from_multiple_datasets #mn #dataset-mozilla-foundation/common_voice_11_0 #dataset-google/fleurs #dataset-bayartsogt/ulaanbal-v0 #dataset-bayartsogt/youtube-mongolian-v1 #license-apache-2.0... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["fr"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-fr-bloom-560m | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"fr",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:20:34+00:00 | [
"2309.08958"
] | [
"fr"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fr #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-560m
* Instruction tuning languag... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-560m\n* Instruction ... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fr #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fr #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Duxiaoman-DI/XuanYuan-70B-Chat
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned fo... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "Duxiaoman-DI/XuanYuan-70B-Chat", "quantized_by": "mradermacher"} | mradermacher/XuanYuan-70B-Chat-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Duxiaoman-DI/XuanYuan-70B-Chat",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:20:39+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Duxiaoman-DI/XuanYuan-70B-Chat #license-llama2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-Duxiaoman-DI/XuanYuan-70B-Chat #license-llama2 #endpoints_compatible #region-us \n"
] | [
43
] | [
"TAGS\n#transformers #gguf #en #base_model-Duxiaoman-DI/XuanYuan-70B-Chat #license-llama2 #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["ru"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-ru-bloom-560m | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"ru",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:21:51+00:00 | [
"2309.08958"
] | [
"ru"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #ru #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-560m
* Instruction tuning languag... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-560m\n* Instruction ... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #ru #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #ru #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-generation | transformers |
# Qra-7b-dolly-instruction-0.1
This model if a fine-tuned version of [OPI-PG/Qra-7b](https://huggingface.co/OPI-PG/Qra-7b) on the [s3nh/alpaca-dolly-instruction-only-polish](https://huggingface.co/datasets/s3nh/alpaca-dolly-instruction-only-polish) dataset.
## Model Description
Trained from [OPI-PG/Qra-7b](https://... | {"language": ["pl"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["s3nh/alpaca-dolly-instruction-only-polish"], "inference": true, "pipeline_tag": "text-generation", "model-index": [{"name": "Qra-7b-dolly-instruction-0.1", "results": []}]} | nie3e/Qra-7b-dolly-instruction-0.1 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"conversational",
"pl",
"dataset:s3nh/alpaca-dolly-instruction-only-polish",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:22:53+00:00 | [] | [
"pl"
] | TAGS
#transformers #safetensors #llama #text-generation #generated_from_trainer #conversational #pl #dataset-s3nh/alpaca-dolly-instruction-only-polish #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Qra-7b-dolly-instruction-0.1
This model if a fine-tuned version of OPI-PG/Qra-7b on the s3nh/alpaca-dolly-instruction-only-polish dataset.
## Model Description
Trained from OPI-PG/Qra-7b
## Intended uses & limitations
This model has been fine-tuned for question-answering task. It is possible to use it as a chat... | [
"# Qra-7b-dolly-instruction-0.1\n\nThis model if a fine-tuned version of OPI-PG/Qra-7b on the s3nh/alpaca-dolly-instruction-only-polish dataset.",
"## Model Description\n\nTrained from OPI-PG/Qra-7b",
"## Intended uses & limitations\n\nThis model has been fine-tuned for question-answering task. It is possible t... | [
"TAGS\n#transformers #safetensors #llama #text-generation #generated_from_trainer #conversational #pl #dataset-s3nh/alpaca-dolly-instruction-only-polish #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Qra-7b-dolly-instruction-0.1\n\nThis model if a fin... | [
72,
53,
16,
45,
45,
32,
17,
44
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #generated_from_trainer #conversational #pl #dataset-s3nh/alpaca-dolly-instruction-only-polish #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Qra-7b-dolly-instruction-0.1\n\nThis model if a fine-tune... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["zh"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-zh-bloom-560m | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"zh",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:23:10+00:00 | [
"2309.08958"
] | [
"zh"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #zh #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-560m
* Instruction tuning languag... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-560m\n* Instruction ... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #zh #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
68,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #zh #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imdb"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-imdb", "results": []}]} | abh1na5/distilbert-base-uncased-finetuned-imdb | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"fill-mask",
"generated_from_trainer",
"dataset:imdb",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:23:21+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #fill-mask #generated_from_trainer #dataset-imdb #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-imdb
======================================
This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4516
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0\n* mixed\\_... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #fill-mask #generated_from_trainer #dataset-imdb #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training... | [
65,
114,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #fill-mask #generated_from_trainer #dataset-imdb #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["bg"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-bg-bloom-1b1 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"bg",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:24:24+00:00 | [
"2309.08958"
] | [
"bg"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b1
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b1\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
68,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-generation | transformers |
# MisCalmity-v0.1-model_stock
MisCalmity-v0.1-model_stock is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: MaziyarPanahi/Calme-7B-Instruc... | {"tags": ["merge", "mergekit", "lazymergekit"]} | thag8/MisCalmity-v0.1-model_stock | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:24:44+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# MisCalmity-v0.1-model_stock
MisCalmity-v0.1-model_stock is a merge of the following models using LazyMergekit:
## Configuration
## Usage
| [
"# MisCalmity-v0.1-model_stock\n\nMisCalmity-v0.1-model_stock is a merge of the following models using LazyMergekit:",
"## Configuration",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# MisCalmity-v0.1-model_stock\n\nMisCalmity-v0.1-model_stock is a merge of the following models using LazyMergekit:",
"## Configurat... | [
44,
38,
3,
3
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# MisCalmity-v0.1-model_stock\n\nMisCalmity-v0.1-model_stock is a merge of the following models using LazyMergekit:## Configuration## Usage... |
null | transformers |
# LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0`](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to ... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mergekit", "megamerge", "llama-cpp", "gguf-my-repo"], "datasets": ["Open-Orca/OpenOrca", "cognitivecomputations/dolphin", "WhiteRabbitNeo/WRN-Chapter-2", "WhiteRabbitNeo/WRN-Chapter-1", "gate369/Alpaca-Star", "gate369/alpaca-star-ascii"], ... | LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"megamerge",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:Open-Orca/OpenOrca",
"dataset:cognitivecomputations/dolphin",
"dataset:WhiteRabbitNeo/WRN-Chapter-2",
"dataset:WhiteRabbitNeo/WRN-Chapter-1",
"dataset:gate369/Alpaca-Star",
"dataset:gate369/alpaca-st... | null | 2024-04-04T16:26:18+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #megamerge #llama-cpp #gguf-my-repo #en #dataset-Open-Orca/OpenOrca #dataset-cognitivecomputations/dolphin #dataset-WhiteRabbitNeo/WRN-Chapter-2 #dataset-WhiteRabbitNeo/WRN-Chapter-1 #dataset-gate369/Alpaca-Star #dataset-gate369/alpaca-star-ascii #base_model-LeroyDyer/Mixtral_AI_Multi... |
# LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the ... | [
"# LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the UR... | [
"TAGS\n#transformers #gguf #mergekit #megamerge #llama-cpp #gguf-my-repo #en #dataset-Open-Orca/OpenOrca #dataset-cognitivecomputations/dolphin #dataset-WhiteRabbitNeo/WRN-Chapter-2 #dataset-WhiteRabbitNeo/WRN-Chapter-1 #dataset-gate369/Alpaca-Star #dataset-gate369/alpaca-star-ascii #base_model-LeroyDyer/Mixtral_AI... | [
145,
88,
52
] | [
"TAGS\n#transformers #gguf #mergekit #megamerge #llama-cpp #gguf-my-repo #en #dataset-Open-Orca/OpenOrca #dataset-cognitivecomputations/dolphin #dataset-WhiteRabbitNeo/WRN-Chapter-2 #dataset-WhiteRabbitNeo/WRN-Chapter-1 #dataset-gate369/Alpaca-Star #dataset-gate369/alpaca-star-ascii #base_model-LeroyDyer/Mixtral_AI... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["cs"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-cs-bloom-1b1 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"cs",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:26:43+00:00 | [
"2309.08958"
] | [
"cs"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #cs #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b1
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b1\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #cs #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #cs #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["de"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-de-bloom-1b1 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"de",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:29:02+00:00 | [
"2309.08958"
] | [
"de"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #de #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b1
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b1\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #de #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #de #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the S... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "widget": [{"text": "Google Maps"}, {"text": "IN NEED OF OBEDIENCE CLASSES? "}, {"text": " .modal-content "}, {"text": "U Pere ris, AM see... | spaly99/my-setfit-model-dataset-PG-OCR | null | [
"setfit",
"safetensors",
"mpnet",
"sentence-transformers",
"text-classification",
"generated_from_setfit_trainer",
"arxiv:2209.11055",
"base_model:sentence-transformers/paraphrase-mpnet-base-v2",
"model-index",
"region:us"
] | null | 2024-04-04T16:30:24+00:00 | [
"2209.11055"
] | [] | TAGS
#setfit #safetensors #mpnet #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-sentence-transformers/paraphrase-mpnet-base-v2 #model-index #region-us
| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embedding model. A LogisticRegression... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/paraphrase-mpnet-base-v2\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 512 tokens\n* Number of Classes: 2 classes",
"### Model Sources\n\n\n* Repository: SetFit on GitHub\n* Pap... | [
"TAGS\n#setfit #safetensors #mpnet #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-sentence-transformers/paraphrase-mpnet-base-v2 #model-index #region-us \n",
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transforme... | [
68,
59,
42,
16,
10,
43,
7,
192,
5,
75,
6
] | [
"TAGS\n#setfit #safetensors #mpnet #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-sentence-transformers/paraphrase-mpnet-base-v2 #model-index #region-us \n### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/par... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/here_we_go_again4 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:30:57+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-en-bloom-1b1 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"en",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:31:17+00:00 | [
"2309.08958"
] | [
"en"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #en #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b1
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b1\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #en #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #en #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-to-audio | transformers |
# MusicGen - Large - 3.3B
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlike existing methods, lik... | {"license": "cc-by-nc-4.0", "tags": ["musicgen"], "inference": true} | omarimc/dst | null | [
"transformers",
"pytorch",
"musicgen",
"text-to-audio",
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:31:42+00:00 | [
"2306.05284"
] | [] | TAGS
#transformers #pytorch #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| MusicGen - Large - 3.3B
=======================
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlike ... | [] | [
"TAGS\n#transformers #pytorch #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
49
] | [
"TAGS\n#transformers #pytorch #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] |
text-to-audio | transformers |
# MusicGen - Medium - 1.5B
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlike existing methods, li... | {"license": "cc-by-nc-4.0", "tags": ["musicgen"], "inference": true, "pipeline_tag": "text-to-audio", "widget": [{"text": "a funky house with 80s hip hop vibes", "example_title": "Prompt 1"}, {"text": "a chill song with influences from lofi, chillstep and downtempo", "example_title": "Prompt 2"}, {"text": "a catchy bea... | omarimc/musicgen-medium | null | [
"transformers",
"pytorch",
"musicgen",
"text-to-audio",
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:33:13+00:00 | [
"2306.05284"
] | [] | TAGS
#transformers #pytorch #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| MusicGen - Medium - 1.5B
========================
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlik... | [] | [
"TAGS\n#transformers #pytorch #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
49
] | [
"TAGS\n#transformers #pytorch #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_07 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:33:41+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
text-to-audio | transformers |
# MusicGen - Melody - 1.5B
Audiocraft provides the code and models for MusicGen, a simple and controllable model for music generation.
MusicGen is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlike existing methods like MusicLM, MusicGen... | {"license": "cc-by-nc-4.0", "tags": ["musicgen"], "inference": false} | omarimc/musicgen-melody | null | [
"transformers",
"safetensors",
"musicgen_melody",
"text-to-audio",
"musicgen",
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-04T16:33:42+00:00 | [
"2306.05284"
] | [] | TAGS
#transformers #safetensors #musicgen_melody #text-to-audio #musicgen #arxiv-2306.05284 #license-cc-by-nc-4.0 #region-us
| MusicGen - Melody - 1.5B
========================
Audiocraft provides the code and models for MusicGen, a simple and controllable model for music generation.
MusicGen is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlike existing methods l... | [] | [
"TAGS\n#transformers #safetensors #musicgen_melody #text-to-audio #musicgen #arxiv-2306.05284 #license-cc-by-nc-4.0 #region-us \n"
] | [
48
] | [
"TAGS\n#transformers #safetensors #musicgen_melody #text-to-audio #musicgen #arxiv-2306.05284 #license-cc-by-nc-4.0 #region-us \n"
] |
text-to-audio | transformers |
# MusicGen - Small - 300M
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlike existing methods, lik... | {"license": "cc-by-nc-4.0", "tags": ["musicgen"], "inference": true, "pipeline_tag": "text-to-audio", "widget": [{"text": "a funky house with 80s hip hop vibes", "example_title": "Prompt 1"}, {"text": "a chill song with influences from lofi, chillstep and downtempo", "example_title": "Prompt 2"}, {"text": "a catchy bea... | omarimc/musicgen-small | null | [
"transformers",
"pytorch",
"safetensors",
"musicgen",
"text-to-audio",
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:33:55+00:00 | [
"2306.05284"
] | [] | TAGS
#transformers #pytorch #safetensors #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| MusicGen - Small - 300M
=======================
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlike ... | [] | [
"TAGS\n#transformers #pytorch #safetensors #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
53
] | [
"TAGS\n#transformers #pytorch #safetensors #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-es-bloom-1b1 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"es",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:34:01+00:00 | [
"2309.08958"
] | [
"es"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b1
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b1\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-to-audio | transformers |
# MusicGen - Large - 3.3B
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlike existing methods, lik... | {"license": "cc-by-nc-4.0", "tags": ["musicgen"], "inference": true} | omarimc/musicgen-large | null | [
"transformers",
"pytorch",
"musicgen",
"text-to-audio",
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:34:22+00:00 | [
"2306.05284"
] | [] | TAGS
#transformers #pytorch #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| MusicGen - Large - 3.3B
=======================
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlike ... | [] | [
"TAGS\n#transformers #pytorch #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
49
] | [
"TAGS\n#transformers #pytorch #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# convnextv2-large-1k-224-finetuned-cassava-leaf-disease
This model is a fine-tuned version of [facebook/convnextv2-large-1k-224](... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/convnextv2-large-1k-224", "model-index": [{"name": "convnextv2-large-1k-224-finetuned-cassava-leaf-disease", "results": [{"task": {"type": "image-classification", "name": "Image Cl... | louislu9911/convnextv2-large-1k-224-finetuned-cassava-leaf-disease | null | [
"transformers",
"safetensors",
"convnextv2",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:facebook/convnextv2-large-1k-224",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:34:31+00:00 | [] | [] | TAGS
#transformers #safetensors #convnextv2 #image-classification #generated_from_trainer #dataset-imagefolder #base_model-facebook/convnextv2-large-1k-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| convnextv2-large-1k-224-finetuned-cassava-leaf-disease
======================================================
This model is a fine-tuned version of facebook/convnextv2-large-1k-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4210
* Accuracy: 0.8692
Model descript... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 240\n* eval\\_batch\\_size: 240\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 960\n* optimizer: Adam with betas=(0.9,0.999) and epsi... | [
"TAGS\n#transformers #safetensors #convnextv2 #image-classification #generated_from_trainer #dataset-imagefolder #base_model-facebook/convnextv2-large-1k-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameter... | [
75,
142,
5,
40
] | [
"TAGS\n#transformers #safetensors #convnextv2 #image-classification #generated_from_trainer #dataset-imagefolder #base_model-facebook/convnextv2-large-1k-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["fi"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-fi-bloom-1b1 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"fi",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:36:30+00:00 | [
"2309.08958"
] | [
"fi"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fi #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b1
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b1\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fi #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fi #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pegasus-samsum
This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_da... | {"tags": ["generated_from_trainer"], "datasets": ["samsum"], "base_model": "google/pegasus-cnn_dailymail", "model-index": [{"name": "pegasus-samsum", "results": []}]} | Shiv-Pal/pegasus-samsum | null | [
"transformers",
"tensorboard",
"safetensors",
"pegasus",
"text2text-generation",
"generated_from_trainer",
"dataset:samsum",
"base_model:google/pegasus-cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:36:31+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #pegasus #text2text-generation #generated_from_trainer #dataset-samsum #base_model-google/pegasus-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# pegasus-samsum
This model is a fine-tuned version of google/pegasus-cnn_dailymail on the samsum dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
"# pegasus-samsum\n\nThis model is a fine-tuned version of google/pegasus-cnn_dailymail on the samsum dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedur... | [
"TAGS\n#transformers #tensorboard #safetensors #pegasus #text2text-generation #generated_from_trainer #dataset-samsum #base_model-google/pegasus-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# pegasus-samsum\n\nThis model is a fine-tuned version of google/pegasus-cnn_dailymail on the ... | [
57,
29,
7,
9,
9,
4,
124,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #pegasus #text2text-generation #generated_from_trainer #dataset-samsum #base_model-google/pegasus-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# pegasus-samsum\n\nThis model is a fine-tuned version of google/pegasus-cnn_dailymail on the samsum... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["fr"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-fr-bloom-1b1 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"fr",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:38:45+00:00 | [
"2309.08958"
] | [
"fr"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fr #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b1
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b1\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fr #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fr #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/lmsys-vicuna-7b-v1.5-bnb-4bit-smashed | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-04T16:38:51+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to c... | [
43,
83,
454,
73,
19,
68,
36
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compres... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["ru"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-ru-bloom-1b1 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"ru",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:41:29+00:00 | [
"2309.08958"
] | [
"ru"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #ru #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b1
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b1\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #ru #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #ru #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tt_classify
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "tt_classify", "results": []}]} | kurianu/tt_classify | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:41:38+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| tt\_classify
============
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3136
* Accuracy: 0.9828
Model description
-----------------
More information needed
Intended uses & limitations
--------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learnin... | [
55,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_ra... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# layoutlm-funsd-tf
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-ba... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "microsoft/layoutlm-base-uncased", "model-index": [{"name": "layoutlm-funsd-tf", "results": []}]} | Shridharam/layoutlm-funsd-tf | null | [
"transformers",
"tf",
"tensorboard",
"layoutlm",
"token-classification",
"generated_from_keras_callback",
"base_model:microsoft/layoutlm-base-uncased",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:43:11+00:00 | [] | [] | TAGS
#transformers #tf #tensorboard #layoutlm #token-classification #generated_from_keras_callback #base_model-microsoft/layoutlm-base-uncased #license-mit #autotrain_compatible #endpoints_compatible #region-us
| layoutlm-funsd-tf
=================
This model is a fine-tuned version of microsoft/layoutlm-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.6688
* Validation Loss: 1.0205
* Train Overall Precision: 0.4820
* Train Overall Recall: 0.5640
* Train Overall F1... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 3e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
... | [
"TAGS\n#transformers #tf #tensorboard #layoutlm #token-classification #generated_from_keras_callback #base_model-microsoft/layoutlm-base-uncased #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\... | [
58,
118,
5,
38
] | [
"TAGS\n#transformers #tf #tensorboard #layoutlm #token-classification #generated_from_keras_callback #base_model-microsoft/layoutlm-base-uncased #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* opt... |
text-generation | transformers | 
# 🔢 EulerMath-Mistral-7B
This model is a full fine-tuned version of [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B) on the following datasets:
- 🧮 [TIGER-Lab/... | {"language": ["en"], "license": "other", "tags": ["math", "alpaca", "synthetic data", "instruct", "axolotl", "finetune", "gpt4"], "datasets": ["TIGER-Lab/MathInstruct", "microsoft/orca-math-word-problems-200k"], "base_model": "meta-math/MetaMath-Mistral-7B"} | Weyaxi/EulerMath-Mistral-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"math",
"alpaca",
"synthetic data",
"instruct",
"axolotl",
"finetune",
"gpt4",
"conversational",
"en",
"dataset:TIGER-Lab/MathInstruct",
"dataset:microsoft/orca-math-word-problems-200k",
"base_model:meta-math/MetaMath-Mistral... | null | 2024-04-04T16:43:40+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #math #alpaca #synthetic data #instruct #axolotl #finetune #gpt4 #conversational #en #dataset-TIGER-Lab/MathInstruct #dataset-microsoft/orca-math-word-problems-200k #base_model-meta-math/MetaMath-Mistral-7B #license-other #autotrain_compatible #endpoints_compati... | !image/png
# EulerMath-Mistral-7B
This model is a full fine-tuned version of meta-math/MetaMath-Mistral-7B on the following datasets:
- TIGER-Lab/MathInstruct
- microsoft/orca-math-word-problems-200k
This model is finetuned using '8xRTX3090' + '1xRTXA6000' using axolotl.
This model's training was sponsored by ... | [
"# EulerMath-Mistral-7B\n\nThis model is a full fine-tuned version of meta-math/MetaMath-Mistral-7B on the following datasets:\n\n- TIGER-Lab/MathInstruct\n- microsoft/orca-math-word-problems-200k \n\nThis model is finetuned using '8xRTX3090' + '1xRTXA6000' using axolotl.\n\nThis model's training was sponsored b... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #math #alpaca #synthetic data #instruct #axolotl #finetune #gpt4 #conversational #en #dataset-TIGER-Lab/MathInstruct #dataset-microsoft/orca-math-word-problems-200k #base_model-meta-math/MetaMath-Mistral-7B #license-other #autotrain_compatible #endpoints_c... | [
113,
139,
14,
38,
6,
11,
13,
11,
147,
48,
97
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #math #alpaca #synthetic data #instruct #axolotl #finetune #gpt4 #conversational #en #dataset-TIGER-Lab/MathInstruct #dataset-microsoft/orca-math-word-problems-200k #base_model-meta-math/MetaMath-Mistral-7B #license-other #autotrain_compatible #endpoints_c... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["zh"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-zh-bloom-1b1 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"zh",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:43:42+00:00 | [
"2309.08958"
] | [
"zh"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #zh #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b1
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b1\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #zh #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
68,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #zh #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["bg"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-bg-bloom-1b7 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"bg",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:45:56+00:00 | [
"2309.08958"
] | [
"bg"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b7
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b7\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
68,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# shawgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | jeroenherczeg/shawgpt-ft | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-04-04T16:46:03+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| shawgpt-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.2320
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batc... | [
55,
138,
5,
52
] | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_si... |
null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/instructkr/lynn-7b-alpha
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/lynn-7b-alpha-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [Th... | {"language": ["en"], "license": "cc-by-sa-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences"], "base_model": "instructkr/lynn-7b-alpha", "quantized_by": "mradermacher"} | mradermacher/lynn-7b-alpha-i1-GGUF | null | [
"transformers",
"gguf",
"not-for-all-audiences",
"en",
"base_model:instructkr/lynn-7b-alpha",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:46:18+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #not-for-all-audiences #en #base_model-instructkr/lynn-7b-alpha #license-cc-by-sa-4.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #not-for-all-audiences #en #base_model-instructkr/lynn-7b-alpha #license-cc-by-sa-4.0 #endpoints_compatible #region-us \n"
] | [
53
] | [
"TAGS\n#transformers #gguf #not-for-all-audiences #en #base_model-instructkr/lynn-7b-alpha #license-cc-by-sa-4.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["cs"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-cs-bloom-1b7 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"cs",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:49:42+00:00 | [
"2309.08958"
] | [
"cs"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #cs #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b7
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b7\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #cs #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #cs #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# trainer_f
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "trainer_f", "results": []}]} | SimoneJLaudani/trainer_f | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:49:57+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# trainer_f
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6560
- Precision: 0.3989
- Recall: 0.3978
- F1: 0.3908
- Accuracy: 0.3978
## Model description
More information needed
## Intended uses & limitations
... | [
"# trainer_f\n\nThis model is a fine-tuned version of distilbert-base-uncased on the None dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 1.6560\n- Precision: 0.3989\n- Recall: 0.3978\n- F1: 0.3908\n- Accuracy: 0.3978",
"## Model description\n\nMore information needed",
"## Intended ... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# trainer_f\n\nThis model is a fine-tuned version of distilbert-base-uncased on the None data... | [
59,
76,
7,
9,
9,
4,
93,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# trainer_f\n\nThis model is a fine-tuned version of distilbert-base-uncased on the None dataset.\n... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-dict-finetune
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-dict-finetune", "results": []}]} | tahazaryab/mistral-dict-finetune | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-04T16:51:47+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
| mistral-dict-finetune
=====================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0971
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.00025\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.00025\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n... | [
45,
115,
5,
58
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.00025\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* opti... |
text-generation | transformers | <style>
@font-face {
font-family: Zpix;
src: url(https://zpix.now.sh/zpix.woff2?v2021-03-21);
}
* {
font-family:Zpix;
}
#main-ame-back {
font-family:Zpix;
color: #fd96fd !important;
padding: 15px;
}
a {
color:#fd87c2 !important
}
#main-ame-back h1{
color:#8e45f5 !impor... | {"language": ["zh", "en"], "license": "other", "tags": ["CoT"], "datasets": ["yys/OpenOrca-Chinese"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-7B-Chat/raw/main/LICENSE", "pipeline_tag": "text-generation"} | raincandy-u/Rain-7B-v0.1 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"CoT",
"conversational",
"zh",
"en",
"dataset:yys/OpenOrca-Chinese",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:52:25+00:00 | [] | [
"zh",
"en"
] | TAGS
#transformers #safetensors #qwen2 #text-generation #CoT #conversational #zh #en #dataset-yys/OpenOrca-Chinese #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
@font-face {
font-family: Zpix;
src: url(URL
}
\* {
font-family:Zpix;
}
#main-ame-back {
font-family:Zpix;
color: #fd96fd !important;
padding: 15px;
}
a {
color:#fd87c2 !important
}
#main-ame-back h1{
color:#8e45f5 !important;
}
<img src="URL
ジェルばんは~
UPDATE: Please see <a href="URL for v0.2 ... | [] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #CoT #conversational #zh #en #dataset-yys/OpenOrca-Chinese #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
61
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #CoT #conversational #zh #en #dataset-yys/OpenOrca-Chinese #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
sentence-similarity | sentence-transformers |
# ahessamb/sbert_allmini_pers
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model bec... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | ahessamb/sbert_allmini_pers | null | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:52:56+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# ahessamb/sbert_allmini_pers
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
... | [
"# ahessamb/sbert_allmini_pers\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
"## Usage (Sentence-Transformers)\n\nUsing this model becomes easy when you have sentence-transformers ins... | [
"TAGS\n#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n",
"# ahessamb/sbert_allmini_pers\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering ... | [
28,
49,
30,
26,
64,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n# ahessamb/sbert_allmini_pers\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or sem... |
fill-mask | transformers |
# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed as part of the Horizon European project for Automated Compliance Checks for Construction, Renovation or Demolition Works ([ACCORD](https://accordproject.eu/)) to facilitate Automated Compliance Checking (ACC) within the Architecture, E... | {"language": ["en"], "license": "apache-2.0"} | ACCORD-NLP/roberta-large-lm | null | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:53:22+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #roberta #fill-mask #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed as part of the Horizon European project for Automated Compliance Checks for Construction, Renovation or Demolition Works (ACCORD) to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction ... | [
"# ACCORD-NLP\n\nACCORD-NLP is a Natural Language Processing (NLP) framework developed as part of the Horizon European project for Automated Compliance Checks for Construction, Renovation or Demolition Works (ACCORD) to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Constru... | [
"TAGS\n#transformers #pytorch #roberta #fill-mask #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# ACCORD-NLP\n\nACCORD-NLP is a Natural Language Processing (NLP) framework developed as part of the Horizon European project for Automated Compliance Checks for Construction, Ren... | [
38,
163,
3,
5,
5,
7,
11,
27
] | [
"TAGS\n#transformers #pytorch #roberta #fill-mask #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# ACCORD-NLP\n\nACCORD-NLP is a Natural Language Processing (NLP) framework developed as part of the Horizon European project for Automated Compliance Checks for Construction, Renovatio... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/here_we_go_again4_againdiff | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:53:24+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["de"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-de-bloom-1b7 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"de",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:53:29+00:00 | [
"2309.08958"
] | [
"de"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #de #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b7
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b7\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #de #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #de #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-1
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-70m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:54:41+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-1
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedu... | [
"# robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-1\n\nThis model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information neede... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-1\n\nThis model is a ... | [
70,
59,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-1\n\nThis model is a fine-t... |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Chess_Images
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-pa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Chess_Images", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imag... | Netnoy17/Chess_Images | null | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:google/vit-base-patch16-224-in21k",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:55:29+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #dataset-imagefolder #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| Chess\_Images
=============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5284
* Accuracy: 0.9
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #dataset-imagefolder #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperpa... | [
76,
142,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #dataset-imagefolder #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparamete... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-2
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-2 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-70m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:55:30+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-2
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedu... | [
"# robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-2\n\nThis model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information neede... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-2\n\nThis model is a ... | [
70,
59,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-tt-70m-mz-advt-v0-ts-20000-s-2\n\nThis model is a fine-t... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-1
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-70m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:55:52+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-1
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedur... | [
"# robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-1\n\nThis model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-1\n\nThis model is a f... | [
70,
58,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-1\n\nThis model is a fine-tu... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-2
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-2 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-70m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:56:24+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-2
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedur... | [
"# robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-2\n\nThis model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-2\n\nThis model is a f... | [
70,
58,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-tt-70m-mz-advt-v0-ts-2000-s-2\n\nThis model is a fine-tu... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-en-bloom-1b7 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"en",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T16:56:57+00:00 | [
"2309.08958"
] | [
"en"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #en #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b7
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b7\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #en #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #en #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
sentence-similarity | sentence-transformers |
# ahessamb/sbert_allmini_morl
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model bec... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | ahessamb/sbert_allmini_morl | null | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:57:10+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# ahessamb/sbert_allmini_morl
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
... | [
"# ahessamb/sbert_allmini_morl\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
"## Usage (Sentence-Transformers)\n\nUsing this model becomes easy when you have sentence-transformers ins... | [
"TAGS\n#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n",
"# ahessamb/sbert_allmini_morl\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering ... | [
28,
49,
30,
26,
64,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n# ahessamb/sbert_allmini_morl\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or sem... |
text-generation | transformers |
# Qwen1.5-32B-Chat-AWQ
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, ... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat-AWQ/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/Qwen1.5-32B-Chat-AWQ | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-04T16:57:38+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #qwen2 #text-generation #chat #conversational #en #license-other #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #4-bit #region-us
|
# Qwen1.5-32B-Chat-AWQ
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, ... | [
"# Qwen1.5-32B-Chat-AWQ",
"## Introduction\n\nQwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include: \n\n* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B den... | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #chat #conversational #en #license-other #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #4-bit #region-us \n",
"# Qwen1.5-32B-Chat-AWQ",
"## Introduction\n\nQwen1.5 is the beta version of Qwen2, a transformer-based deco... | [
54,
14,
166,
119,
35,
44,
37,
51
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #chat #conversational #en #license-other #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #4-bit #region-us \n# Qwen1.5-32B-Chat-AWQ## Introduction\n\nQwen1.5 is the beta version of Qwen2, a transformer-based decoder-only lan... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Harshkmr/smol_llama-220M-open_instruct-RM | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T16:59:25+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text-generation | null |
# Command R+ GGUF
## Description
This repository contains GGUF weights for `llama.cpp`. Support for them was added in release [`b2636`](https://github.com/ggerganov/llama.cpp/releases/tag/b2636). Since commit `dd2d53a`, all weights in this repo have chat templates.
In the folder `imatrix`, you can find imatrix quant... | {"license": "cc-by-nc-4.0", "pipeline_tag": "text-generation", "base_model": "CohereForAI/c4ai-command-r-plus"} | pmysl/c4ai-command-r-plus-GGUF | null | [
"gguf",
"text-generation",
"base_model:CohereForAI/c4ai-command-r-plus",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-04T16:59:46+00:00 | [] | [] | TAGS
#gguf #text-generation #base_model-CohereForAI/c4ai-command-r-plus #license-cc-by-nc-4.0 #region-us
| Command R+ GGUF
===============
Description
-----------
This repository contains GGUF weights for 'URL'. Support for them was added in release 'b2636'. Since commit 'dd2d53a', all weights in this repo have chat templates.
In the folder 'imatrix', you can find imatrix quants. The importance matrix was trained usin... | [] | [
"TAGS\n#gguf #text-generation #base_model-CohereForAI/c4ai-command-r-plus #license-cc-by-nc-4.0 #region-us \n"
] | [
45
] | [
"TAGS\n#gguf #text-generation #base_model-CohereForAI/c4ai-command-r-plus #license-cc-by-nc-4.0 #region-us \n"
] |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-es-bloom-1b7 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"es",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T17:00:29+00:00 | [
"2309.08958"
] | [
"es"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b7
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b7\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #es #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | zahrainnlp/bert_base_cwi | null | [
"transformers",
"safetensors",
"bert",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T17:00:49+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #bert #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model... | [
37,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #bert #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been aut... |
text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | KGsteven/0404account | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T17:02:57+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This mod... | [
37,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been a... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["fi"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-fi-bloom-1b7 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"fi",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T17:04:13+00:00 | [
"2309.08958"
] | [
"fi"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fi #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b7
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b7\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fi #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fi #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-ElderReact-anger
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MC... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ElderReact-anger", "results": []}]} | minhah/videomae-base-finetuned-ElderReact-anger | null | [
"transformers",
"safetensors",
"videomae",
"video-classification",
"generated_from_trainer",
"base_model:MCG-NJU/videomae-base",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T17:05:54+00:00 | [] | [] | TAGS
#transformers #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| videomae-base-finetuned-ElderReact-anger
========================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6054
* F1: 0.8671
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
"TAGS\n#transformers #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train... | [
58,
117,
5,
44
] | [
"TAGS\n#transformers #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_bat... |
text2text-generation | transformers | # T5-nl2cmd
T5-nl2cmd is a model that generates bash commands from natural language descriptions.
This repository contains the trained model, fine-tuned from [Flan-T5 base](https://huggingface.co/google/flan-t5-base).
# Training data
- Tldr.sh pages - [tldr-dataset](https://huggingface.co/datasets/Edoigtrd/tldr-pag... | {"language": ["en"], "license": "cc-by-nc-sa-2.0", "library_name": "transformers", "tags": ["code"], "datasets": ["Edoigtrd/tldr-pages"]} | Edoigtrd/T5-nl2cmd | null | [
"transformers",
"onnx",
"safetensors",
"t5",
"text2text-generation",
"code",
"en",
"dataset:Edoigtrd/tldr-pages",
"license:cc-by-nc-sa-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T17:06:18+00:00 | [] | [
"en"
] | TAGS
#transformers #onnx #safetensors #t5 #text2text-generation #code #en #dataset-Edoigtrd/tldr-pages #license-cc-by-nc-sa-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| T5-nl2cmd
=========
T5-nl2cmd is a model that generates bash commands from natural language descriptions.
This repository contains the trained model, fine-tuned from Flan-T5 base.
Training data
=============
* URL pages - tldr-dataset
* nl2bash - nl2bash
Model
=====
The model is fine-tuned from the Flan-T5 ... | [] | [
"TAGS\n#transformers #onnx #safetensors #t5 #text2text-generation #code #en #dataset-Edoigtrd/tldr-pages #license-cc-by-nc-sa-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
71
] | [
"TAGS\n#transformers #onnx #safetensors #t5 #text2text-generation #code #en #dataset-Edoigtrd/tldr-pages #license-cc-by-nc-sa-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
sentence-similarity | sentence-transformers |
# LanguageASP/distilroberta-langASP-trial-new
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Usin... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | LanguageASP/distilroberta-langASP-trial-new | null | [
"sentence-transformers",
"safetensors",
"roberta",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T17:06:28+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# LanguageASP/distilroberta-langASP-trial-new
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transforme... | [
"# LanguageASP/distilroberta-langASP-trial-new\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
"## Usage (Sentence-Transformers)\n\nUsing this model becomes easy when you have sentence-... | [
"TAGS\n#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n",
"# LanguageASP/distilroberta-langASP-trial-new\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tas... | [
28,
53,
30,
26,
63,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n# LanguageASP/distilroberta-langASP-trial-new\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks lik... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["fr"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-fr-bloom-1b7 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"fr",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T17:08:08+00:00 | [
"2309.08958"
] | [
"fr"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fr #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b7
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b7\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fr #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #fr #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | vincentfan/mbart-1-to-50-finetuned-en-to-zh-context-aware | null | [
"transformers",
"safetensors",
"mbart",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T17:09:32+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mbart #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mbart #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This mode... | [
40,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mbart #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been au... |
text-generation | transformers |
# Mistral-portuguese-luana-7b-mental-health
<p align="center">
<img src="https://raw.githubusercontent.com/rhaymisonbetini/huggphotos/main/luana-hel.jpeg" width="50%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>
Luana Mental health is a tuned model of the Luana-7b based on the Mistral 7b... | {"language": ["pt"], "license": "apache-2.0", "library_name": "transformers", "tags": ["health", "portuguese"], "datasets": ["rhaymison/mental-health-qa"], "base_model": "rhaymison/Mistral-portuguese-luana-7b", "pipeline_tag": "text-generation", "model-index": [{"name": "Mistral-portuguese-luana-7b-mental-health", "res... | rhaymison/Mistral-portuguese-luana-7b-mental-health | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"health",
"portuguese",
"conversational",
"pt",
"dataset:rhaymison/mental-health-qa",
"base_model:rhaymison/Mistral-portuguese-luana-7b",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has... | null | 2024-04-04T17:10:00+00:00 | [] | [
"pt"
] | TAGS
#transformers #safetensors #mistral #text-generation #health #portuguese #conversational #pt #dataset-rhaymison/mental-health-qa #base_model-rhaymison/Mistral-portuguese-luana-7b #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
| Mistral-portuguese-luana-7b-mental-health
=========================================
Luana Mental health is a tuned model of the Luana-7b based on the Mistral 7b architecture.
The model was adjusted to address topics such as depression, problems at work, mental health, problems with studies, drugs... | [
"### FULL MODEL : A100",
"### HALF MODEL: L4",
"### 8bit or 4bit : T4 or V100\n\n\nYou can use with Pipeline but in this example i will use such as Streaming\n\n\nLangChain\n=========\n\n\n\n**Human:** Ola Luana, estou passando por um momento dificil. Estou precisando de ajuda\n\n\n**Luana:** Olá, estou aqui pa... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #health #portuguese #conversational #pt #dataset-rhaymison/mental-health-qa #base_model-rhaymison/Mistral-portuguese-luana-7b #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n",... | [
94,
8,
8,
787,
64
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #health #portuguese #conversational #pt #dataset-rhaymison/mental-health-qa #base_model-rhaymison/Mistral-portuguese-luana-7b #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n##... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | weqweasdas/ratio_095_c52_model1_lr_2e6_2epoch | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T17:11:10+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model th... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... |
video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-ElderReact-Disgust
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ElderReact-Disgust", "results": []}]} | minhah/videomae-base-finetuned-ElderReact-Disgust | null | [
"transformers",
"safetensors",
"videomae",
"video-classification",
"generated_from_trainer",
"base_model:MCG-NJU/videomae-base",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T17:11:30+00:00 | [] | [] | TAGS
#transformers #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| videomae-base-finetuned-ElderReact-Disgust
==========================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4411
* F1: 0.9130
Model description
-----------------
More information neede... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
"TAGS\n#transformers #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train... | [
58,
117,
5,
44
] | [
"TAGS\n#transformers #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_bat... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["ru"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-ru-bloom-1b7 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"ru",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T17:12:09+00:00 | [
"2309.08958"
] | [
"ru"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #ru #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b7
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b7\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #ru #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
67,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #ru #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | IgorKolodziej/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-04T17:13:07+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
31,
35,
17
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-tt-160m-mz-advt-v0-ts-2000-s-1
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-tt-160m-mz-advt-v0-ts-2000-s-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-160m-mz-advt-v0-ts-2000-s-1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-160m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T17:13:18+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-tt-160m-mz-advt-v0-ts-2000-s-1
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
"# robust_llm_pythia-tt-160m-mz-advt-v0-ts-2000-s-1\n\nThis model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information need... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-tt-160m-mz-advt-v0-ts-2000-s-1\n\nThis model is a... | [
70,
58,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-tt-160m-mz-advt-v0-ts-2000-s-1\n\nThis model is a fine-... |
image-text-to-text | transformers |
<br>
<br>
# LLaVA Model Card - PATCHED!
This is a patched version of the original model, with patches from aliencaocao applied from [here](https://github.com/haotian-liu/LLaVA/pull/1115).
## Model details
**Model type:**
LLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following... | {"license": "apache-2.0", "tags": ["llava"], "inference": false, "pipeline_tag": "image-text-to-text"} | codys12/llava-v1.6-mistral-7b-PATCHED | null | [
"transformers",
"safetensors",
"llava",
"text-generation",
"image-text-to-text",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-04T17:13:46+00:00 | [] | [] | TAGS
#transformers #safetensors #llava #text-generation #image-text-to-text #license-apache-2.0 #autotrain_compatible #region-us
|
<br>
<br>
# LLaVA Model Card - PATCHED!
This is a patched version of the original model, with patches from aliencaocao applied from here.
## Model details
Model type:
LLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data.
It is an auto-regressive language model, based ... | [
"# LLaVA Model Card - PATCHED!\n\nThis is a patched version of the original model, with patches from aliencaocao applied from here.",
"## Model details\n\nModel type:\nLLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data.\nIt is an auto-regressive language model, bas... | [
"TAGS\n#transformers #safetensors #llava #text-generation #image-text-to-text #license-apache-2.0 #autotrain_compatible #region-us \n",
"# LLaVA Model Card - PATCHED!\n\nThis is a patched version of the original model, with patches from aliencaocao applied from here.",
"## Model details\n\nModel type:\nLLaVA is... | [
39,
30,
103,
34,
57,
76,
34
] | [
"TAGS\n#transformers #safetensors #llava #text-generation #image-text-to-text #license-apache-2.0 #autotrain_compatible #region-us \n# LLaVA Model Card - PATCHED!\n\nThis is a patched version of the original model, with patches from aliencaocao applied from here.## Model details\n\nModel type:\nLLaVA is an open-sou... |
null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mamba_text_classification_4
This model was trained from scratch on an unknown dataset.
It achieves the following results on the ... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "mamba_text_classification_4", "results": []}]} | badrabbitt/mamba_text_classification_4 | null | [
"transformers",
"pytorch",
"safetensors",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T17:13:57+00:00 | [] | [] | TAGS
#transformers #pytorch #safetensors #generated_from_trainer #endpoints_compatible #region-us
| mamba\_text\_classification\_4
==============================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2120
* Accuracy: 0.9384
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_ratio:... | [
"TAGS\n#transformers #pytorch #safetensors #generated_from_trainer #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam wi... | [
27,
121,
5,
44
] | [
"TAGS\n#transformers #pytorch #safetensors #generated_from_trainer #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with bet... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# symptom-check-april-4
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown datase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "symptom-check-april-4", "results": []}]} | akhileshav8/symptom-check-april-4 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T17:14:39+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| symptom-check-april-4
=====================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7701
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 12",
"### Train... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training... | [
63,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-tt-160m-mz-advt-v0-ts-20000-s-1
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-tt-160m-mz-advt-v0-ts-20000-s-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-tt-160m-mz-advt-v0-ts-20000-s-1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-160m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T17:14:47+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-tt-160m-mz-advt-v0-ts-20000-s-1
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
"# robust_llm_pythia-tt-160m-mz-advt-v0-ts-20000-s-1\n\nThis model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# robust_llm_pythia-tt-160m-mz-advt-v0-ts-20000-s-1\n\nThis model is ... | [
70,
59,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# robust_llm_pythia-tt-160m-mz-advt-v0-ts-20000-s-1\n\nThis model is a fine... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tt_classify_roots
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unkn... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "tt_classify_roots", "results": []}]} | kurianu/tt_classify_roots | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T17:15:42+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| tt\_classify\_roots
===================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2506
* Accuracy: 0.9828
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learnin... | [
55,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_ra... |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["zh"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-zh-bloom-1b7 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"zh",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T17:16:21+00:00 | [
"2309.08958"
] | [
"zh"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #zh #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-1b7
* Instruction tuning language... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-1b7\n* Instruction t... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #zh #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
68,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #zh #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
null | null | # Prediction Request
## Install
```console
git clone https://huggingface.co/NapthaAI/olas_prediction
cd olas_prediction
# set up env
poetry install
poetry shell
```
## Test
```console
chmod +x tests/test_olas_prediction.py
poetry run tests/test_olas_prediction.py
``` | {} | NapthaAI/olas_prediction | null | [
"region:us"
] | null | 2024-04-04T17:16:41+00:00 | [] | [] | TAGS
#region-us
| # Prediction Request
## Install
## Test
| [
"# Prediction Request",
"## Install",
"## Test"
] | [
"TAGS\n#region-us \n",
"# Prediction Request",
"## Install",
"## Test"
] | [
5,
3,
3,
3
] | [
"TAGS\n#region-us \n# Prediction Request## Install## Test"
] |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/TinyLlama-TinyLlama-1.1B-intermediate-step-1195k-token-2.5T-bnb-4bit-smashed | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-04T17:16:48+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to c... | [
43,
83,
454,
85,
19,
80,
36
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compres... |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/microsoft-DialoGPT-medium-bnb-4bit-smashed | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-04T17:19:55+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to co... | [
44,
83,
454,
66,
19,
61,
36
] | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="gespitia1/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | gespitia1/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-04T17:20:09+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
| [
"# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] | [
"TAGS\n#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
"# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] | [
35,
33
] | [
"TAGS\n#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] |
text-generation | transformers |
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Pa... | {"language": ["bg"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-bg-bloom-3b | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"bg",
"arxiv:2309.08958",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T17:20:54+00:00 | [
"2309.08958"
] | [
"bg"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bloom-3b
* Instruction tuning language:... | [
"### Model Description\n\nThis HF repository contains base LLMs instruction tuned (SFT) with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.\n* GitHub\n* Paper",
"#### Instruction tuning details\n* Base model: bloom-3b\n* Instruction tu... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repository contains base LLMs instruction ... | [
68,
51,
75,
32
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #bg #arxiv-2309.08958 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository contains base LLMs instruction tuned ... |
summarization | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "pipeline_tag": "summarization"} | BeenaSamuel/t5_cnn_daily_mail_abstractive_summarizer_v2 | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T17:21:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #summarization #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #summarization #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model tha... | [
50,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #summarization #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed ... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="gespitia1/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/- ... | gespitia1/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-04T17:21:18+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
26,
31
] | [
"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | rohan2010/rohan-photo-llama | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T17:22:34+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- ... | [
22,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optiona... |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/lmsys-vicuna-7b-v1.5-bnb-8bit-smashed | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-04T17:23:09+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to c... | [
43,
83,
454,
73,
19,
68,
36
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compres... |
video-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-base-finetuned-bekhoaxe
This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggin... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base-finetuned-kinetics", "model-index": [{"name": "videomae-base-finetuned-bekhoaxe", "results": []}]} | ninhnguyendx779/videomae-base-finetuned-bekhoaxe | null | [
"transformers",
"tensorboard",
"safetensors",
"videomae",
"video-classification",
"generated_from_trainer",
"base_model:MCG-NJU/videomae-base-finetuned-kinetics",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T17:23:14+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base-finetuned-kinetics #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| videomae-base-finetuned-bekhoaxe
================================
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0953
* Accuracy: 0.9762
Model description
-----------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
"TAGS\n#transformers #tensorboard #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base-finetuned-kinetics #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n*... | [
68,
117,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base-finetuned-kinetics #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learn... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.