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-generation | transformers |
# codegood/gemma-2b-it-Q4_K_M-GGUF
This model was converted to GGUF format from [`google/gemma-2b-it`](https://huggingface.co/google/gemma-2b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/google... | {"license": "gemma", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access G... | codegood/gemma-2b-it-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"gemma",
"text-generation",
"llama-cpp",
"gguf-my-repo",
"conversational",
"license:gemma",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T18:06:26+00:00 | [] | [] | TAGS
#transformers #gguf #gemma #text-generation #llama-cpp #gguf-my-repo #conversational #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# codegood/gemma-2b-it-Q4_K_M-GGUF
This model was converted to GGUF format from 'google/gemma-2b-it' 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 CLI.
CLI:
Server:
Note: You c... | [
"# codegood/gemma-2b-it-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'google/gemma-2b-it' 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 URL server or the CLI.\n\nCLI:\n\n\n\n... | [
"TAGS\n#transformers #gguf #gemma #text-generation #llama-cpp #gguf-my-repo #conversational #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# codegood/gemma-2b-it-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'google/gemma-2b-it' using URL via the... | [
55,
73,
52
] | [
"TAGS\n#transformers #gguf #gemma #text-generation #llama-cpp #gguf-my-repo #conversational #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# codegood/gemma-2b-it-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'google/gemma-2b-it' using URL via the URL's... |
question-answering | 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. -->
# results
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown datase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "results", "results": []}]} | sindibejko/results | null | [
"transformers",
"safetensors",
"bert",
"question-answering",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T18:09:01+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| results
=======
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: 0.0000
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
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: 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* lr\\_scheduler\\_warmup\\_steps... | [
"TAGS\n#transformers #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #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\\_batch\\_s... | [
47,
117,
5,
40
] | [
"TAGS\n#transformers #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #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\\_batch\\_size: 1... |
tabular-regression | null |
# Model Trained Using AutoTrain
- Problem type: Tabular regression
## Validation Metrics
- r2: 0.33913886288678097
- mse: 0.13878083879377598
- mae: 0.2991213083267212
- rmse: 0.37253300363025016
- rmsle: 0.15062628429771513
- loss: 0.37253300363025016
## Best Params
- learning_rate: 0.017092100292696658
- reg_la... | {"tags": ["autotrain", "tabular", "regression", "tabular-regression"], "datasets": ["autotrain-fbyte-l9vfz/autotrain-data"]} | jul-fls/autotrain-fbyte-l9vfz | null | [
"joblib",
"autotrain",
"tabular",
"regression",
"tabular-regression",
"dataset:autotrain-fbyte-l9vfz/autotrain-data",
"region:us"
] | null | 2024-04-14T18:09:46+00:00 | [] | [] | TAGS
#joblib #autotrain #tabular #regression #tabular-regression #dataset-autotrain-fbyte-l9vfz/autotrain-data #region-us
|
# Model Trained Using AutoTrain
- Problem type: Tabular regression
## Validation Metrics
- r2: 0.33913886288678097
- mse: 0.13878083879377598
- mae: 0.2991213083267212
- rmse: 0.37253300363025016
- rmsle: 0.15062628429771513
- loss: 0.37253300363025016
## Best Params
- learning_rate: 0.017092100292696658
- reg_la... | [
"# Model Trained Using AutoTrain\n\n- Problem type: Tabular regression",
"## Validation Metrics\n\n- r2: 0.33913886288678097\n- mse: 0.13878083879377598\n- mae: 0.2991213083267212\n- rmse: 0.37253300363025016\n- rmsle: 0.15062628429771513\n- loss: 0.37253300363025016",
"## Best Params\n\n- learning_rate: 0.0170... | [
"TAGS\n#joblib #autotrain #tabular #regression #tabular-regression #dataset-autotrain-fbyte-l9vfz/autotrain-data #region-us \n",
"# Model Trained Using AutoTrain\n\n- Problem type: Tabular regression",
"## Validation Metrics\n\n- r2: 0.33913886288678097\n- mse: 0.13878083879377598\n- mae: 0.2991213083267212\n- ... | [
42,
13,
98,
127,
3
] | [
"TAGS\n#joblib #autotrain #tabular #regression #tabular-regression #dataset-autotrain-fbyte-l9vfz/autotrain-data #region-us \n# Model Trained Using AutoTrain\n\n- Problem type: Tabular regression## Validation Metrics\n\n- r2: 0.33913886288678097\n- mse: 0.13878083879377598\n- mae: 0.2991213083267212\n- rmse: 0.3725... |
null | peft |
# 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. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | kaidens/WHaK_AIv1 | null | [
"peft",
"pytorch",
"safetensors",
"mistral",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"4-bit",
"region:us"
] | null | 2024-04-14T18:11:45+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #pytorch #safetensors #mistral #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #pytorch #safetensors #mistral #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #4-bit #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Languag... | [
56,
6,
4,
50,
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,
13
] | [
"TAGS\n#peft #pytorch #safetensors #mistral #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #4-bit #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- Li... |
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": []} | NassimB/mistral-7b-hf-platypus_vxxiii-chat-corrected | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T18:18:45+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... |
null | transformers |
# Uploaded model
- **Developed by:** lancer59
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | lancer59/gemma7bit_adapter_490 | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"gemma",
"trl",
"en",
"base_model:unsloth/gemma-7b-it-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T18:19:55+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #gemma #trl #en #base_model-unsloth/gemma-7b-it-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: lancer59
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: lancer59\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-7b-it-bnb-4bit\n\nThis gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #gemma #trl #en #base_model-unsloth/gemma-7b-it-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: lancer59\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-7b-it-bnb-4bit\n\nT... | [
62,
78
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #gemma #trl #en #base_model-unsloth/gemma-7b-it-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: lancer59\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-7b-it-bnb-4bit\n\nThis ge... |
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": ["unsloth"]} | lancer59/gemma7bit_adapter_490_tokenizer | null | [
"transformers",
"unsloth",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T18:20:26+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #unsloth #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 #unsloth #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... | [
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 #unsloth #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... |
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": []} | rmrafailov/TLDR-Pythia1B-SFT | null | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T18:22:46+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt_neox #text-generation #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 #gpt_neox #text-generation #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 pus... | [
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 #gpt_neox #text-generation #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 on the Hub. Th... |
text-generation | transformers |
# Model Card for Boreas-7B
Base model of [Boreas-7B-chat](https://huggingface.co/yhavinga/Boreas-7B-chat)
For more info refer to the readme of the chat model.
| {"library_name": "transformers", "tags": []} | yhavinga/Boreas-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T18:28:29+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Boreas-7B
Base model of Boreas-7B-chat
For more info refer to the readme of the chat model.
| [
"# Model Card for Boreas-7B\n\nBase model of Boreas-7B-chat\nFor more info refer to the readme of the chat model."
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Boreas-7B\n\nBase model of Boreas-7B-chat\nFor more info refer to the readme of the chat model."
] | [
37,
32
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Boreas-7B\n\nBase model of Boreas-7B-chat\nFor more info refer to the readme of the chat model."
] |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [arcee-ai/Patent-Base-7b](https://huggingfac... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["arcee-ai/Patent-Base-7b", "Danielbrdz/Barcenas-Orca-2-7b"]} | arcee-ai/Patent-Base-Barcenas-Orca-2-7B-Slerp | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"base_model:arcee-ai/Patent-Base-7b",
"base_model:Danielbrdz/Barcenas-Orca-2-7b",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T18:30:14+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-arcee-ai/Patent-Base-7b #base_model-Danielbrdz/Barcenas-Orca-2-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* arcee-ai/Patent-Base-7b
* Danielbrdz/Barcenas-Orca-2-7b
### Configuration
The f... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* arcee-ai/Patent-Base-7b\n* Danielbrdz/Barcenas-Orca-2-7b... | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-arcee-ai/Patent-Base-7b #base_model-Danielbrdz/Barcenas-Orca-2-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using m... | [
76,
17,
4,
17,
43,
16
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-arcee-ai/Patent-Base-7b #base_model-Danielbrdz/Barcenas-Orca-2-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergeki... |
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": []} | EdBerg/opt-6.1b-lora | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T18:34:50+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 | 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": []} | Ekhlass/phi2-flutter-q-docs | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-14T18:36:07+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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 #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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... | [
51,
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 #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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... |
null | transformers | This model is for the [Glassdoor-job-reviews-dataset]](https://www.kaggle.com/datasets/davidgauthier/glassdoor-job-reviews/code) sentiment analysis with MobileBert | {"language": ["en"], "tags": ["Sentiment-Analysis"], "metrics": ["accuracy"]} | sergeantson/MobileBertSentimentClassifier | null | [
"transformers",
"pytorch",
"safetensors",
"Sentiment-Analysis",
"en",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T18:36:27+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #safetensors #Sentiment-Analysis #en #endpoints_compatible #region-us
| This model is for the [Glassdoor-job-reviews-dataset]](URL sentiment analysis with MobileBert | [] | [
"TAGS\n#transformers #pytorch #safetensors #Sentiment-Analysis #en #endpoints_compatible #region-us \n"
] | [
27
] | [
"TAGS\n#transformers #pytorch #safetensors #Sentiment-Analysis #en #endpoints_compatible #region-us \n"
] |
text-to-image | diffusers | # LuMa
<Gallery />
## Model description
Inside.
## Download model
Weights for this model are available in Safetensors format.
[Download](/synthetica/lumaV1/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "A flock of paper airplanes flutters through a dense jungle, weaving around trees as if they were migrating birds.", "output": {"url": "images/A flock of paper airplanes flutters through a dense jungle, weaving ... | synthetica/lumaV1 | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:Kvikontent/midjourney-v6",
"region:us"
] | null | 2024-04-14T18:37:23+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-Kvikontent/midjourney-v6 #region-us
| # LuMa
<Gallery />
## Model description
Inside.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
| [
"# LuMa\n\n<Gallery />",
"## Model description \n\nInside.",
"## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & versions tab."
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-Kvikontent/midjourney-v6 #region-us \n",
"# LuMa\n\n<Gallery />",
"## Model description \n\nInside.",
"## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & version... | [
43,
7,
6,
25
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-Kvikontent/midjourney-v6 #region-us \n# LuMa\n\n<Gallery />## Model description \n\nInside.## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & versions tab."
] |
sentence-similarity | sentence-transformers |
# atasoglu/roberta-small-turkish-clean-uncased-nli-stsb-tr
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search.
This model was adapted from [burakaytan/roberta-small-turkish... | {"language": ["tr"], "license": "mit", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["nli_tr", "emrecan/stsb-mt-turkish"], "pipeline_tag": "sentence-similarity", "base_model": "burakaytan/roberta-small-turkish-clean-... | atasoglu/roberta-small-turkish-clean-uncased-nli-stsb-tr | null | [
"sentence-transformers",
"safetensors",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"tr",
"dataset:nli_tr",
"dataset:emrecan/stsb-mt-turkish",
"base_model:burakaytan/roberta-small-turkish-clean-uncased",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T18:38:28+00:00 | [] | [
"tr"
] | TAGS
#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #transformers #tr #dataset-nli_tr #dataset-emrecan/stsb-mt-turkish #base_model-burakaytan/roberta-small-turkish-clean-uncased #license-mit #endpoints_compatible #region-us
|
# atasoglu/roberta-small-turkish-clean-uncased-nli-stsb-tr
This is a sentence-transformers model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search.
This model was adapted from burakaytan/roberta-small-turkish-clean-uncased and fine-tu... | [
"# atasoglu/roberta-small-turkish-clean-uncased-nli-stsb-tr\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search.\n\nThis model was adapted from burakaytan/roberta-small-turkish-clean-uncased and... | [
"TAGS\n#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #transformers #tr #dataset-nli_tr #dataset-emrecan/stsb-mt-turkish #base_model-burakaytan/roberta-small-turkish-clean-uncased #license-mit #endpoints_compatible #region-us \n",
"# atasoglu/roberta-small-turkish-clean-unca... | [
78,
114,
30,
58,
17,
69,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #transformers #tr #dataset-nli_tr #dataset-emrecan/stsb-mt-turkish #base_model-burakaytan/roberta-small-turkish-clean-uncased #license-mit #endpoints_compatible #region-us \n# atasoglu/roberta-small-turkish-clean-uncased-nl... |
text-to-image | diffusers | # LuMa V.1.1
<Gallery />
## Model description
inside.1
## Download model
Weights for this model are available in Safetensors format.
[Download](/synthetica/LuMaV1.1/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "An photo of a desert", "output": {"url": "images/A photo of a sunny desert beach.jpg"}}], "base_model": "runwayml/stable-diffusion-v1-5"} | synthetica/LuMaV1.1 | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:runwayml/stable-diffusion-v1-5",
"has_space",
"region:us"
] | null | 2024-04-14T18:40:37+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #has_space #region-us
| # LuMa V.1.1
<Gallery />
## Model description
inside.1
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
| [
"# LuMa V.1.1\n\n<Gallery />",
"## Model description \n\ninside.1",
"## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & versions tab."
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #has_space #region-us \n",
"# LuMa V.1.1\n\n<Gallery />",
"## Model description \n\ninside.1",
"## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload the... | [
48,
12,
7,
25
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #has_space #region-us \n# LuMa V.1.1\n\n<Gallery />## Model description \n\ninside.1## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & v... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Gaivoronsky/Mistral-7B-Saiga](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Gaivoronsky/Mistral-7B-Saiga", "cognitivecomputations/dolphin-2.2.1-mistral-7b"]} | ehristoforu/m80 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"base_model:Gaivoronsky/Mistral-7B-Saiga",
"base_model:cognitivecomputations/dolphin-2.2.1-mistral-7b",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T18:44:11+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #base_model-Gaivoronsky/Mistral-7B-Saiga #base_model-cognitivecomputations/dolphin-2.2.1-mistral-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Gaivoronsky/Mistral-7B-Saiga
* cognitivecomputations/dolphin-2.2.1-mistral-7b
##... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Gaivoronsky/Mistral-7B-Saiga\n* cognitivecomputations/do... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #base_model-Gaivoronsky/Mistral-7B-Saiga #base_model-cognitivecomputations/dolphin-2.2.1-mistral-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained languag... | [
80,
17,
4,
17,
47,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #base_model-Gaivoronsky/Mistral-7B-Saiga #base_model-cognitivecomputations/dolphin-2.2.1-mistral-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language mode... |
sentence-similarity | sentence-transformers |
# {MODEL_NAME}
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)
Using this model becomes easy when ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | wasjaip/my_tree_model_v1_allk_rus | null | [
"sentence-transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T18:45:28+00:00 | [] | [] | TAGS
#sentence-transformers #pytorch #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# {MODEL_NAME}
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-transformers installed:
Then you can u... | [
"# {MODEL_NAME}\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-transformers installed:\n\n\n\n... | [
"TAGS\n#sentence-transformers #pytorch #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n",
"# {MODEL_NAME}\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 sem... | [
33,
41,
30,
26,
72,
5,
5
] | [
"TAGS\n#sentence-transformers #pytorch #safetensors #bert #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n# {MODEL_NAME}\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 ... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/ibivibiv/aegolius-acadicus-v1-30b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/aegoliu... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["moe", "moerge"], "base_model": "ibivibiv/aegolius-acadicus-v1-30b", "quantized_by": "mradermacher"} | mradermacher/aegolius-acadicus-v1-30b-i1-GGUF | null | [
"transformers",
"gguf",
"moe",
"moerge",
"en",
"base_model:ibivibiv/aegolius-acadicus-v1-30b",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T18:47:07+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #moe #moerge #en #base_model-ibivibiv/aegolius-acadicus-v1-30b #license-llama2 #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 #moe #moerge #en #base_model-ibivibiv/aegolius-acadicus-v1-30b #license-llama2 #endpoints_compatible #region-us \n"
] | [
52
] | [
"TAGS\n#transformers #gguf #moe #moerge #en #base_model-ibivibiv/aegolius-acadicus-v1-30b #license-llama2 #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": []} | unrented5443/9mqeby3 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T18:48:33+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 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": []} | Abhishek107/AppMetric | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T18:49:47+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #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 #llama #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... | [
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 #llama #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 o... |
question-answering | 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. -->
# results
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown datase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "results", "results": []}]} | nlp-group/sindi-bert-final | null | [
"transformers",
"safetensors",
"bert",
"question-answering",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-14T18:55:17+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #endpoints_compatible #has_space #region-us
| results
=======
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: 0.0000
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
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: 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* lr\\_scheduler\\_warmup\\_steps... | [
"TAGS\n#transformers #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #endpoints_compatible #has_space #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\... | [
51,
117,
5,
40
] | [
"TAGS\n#transformers #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #endpoints_compatible #has_space #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batc... |
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": []} | rubertmi00/flan-t5-healthcoach-base | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T18:55:30+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... |
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. -->
# vi_en_envit5-base_half_doc_news_train
This model is a fine-tuned version of [VietAI/envit5-base](https://huggingface.co/VietAI/e... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/envit5-base", "model-index": [{"name": "vi_en_envit5-base_half_doc_news_train", "results": []}]} | yuufong/vi_en_envit5-base_half_doc_news_train | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/envit5-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T18:55:32+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/envit5-base #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# vi_en_envit5-base_half_doc_news_train
This model is a fine-tuned version of VietAI/envit5-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# vi_en_envit5-base_half_doc_news_train\n\nThis model is a fine-tuned version of VietAI/envit5-base 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",
"## Trai... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/envit5-base #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# vi_en_envit5-base_half_doc_news_train\n\nThis model is a fine-tuned version of VietAI/envit5-bas... | [
60,
43,
7,
9,
9,
4,
111,
44
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/envit5-base #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# vi_en_envit5-base_half_doc_news_train\n\nThis model is a fine-tuned version of VietAI/envit5-base on a... |
question-answering | 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. -->
# LongRiver/transformer_QAVi
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased)... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-cased", "model-index": [{"name": "LongRiver/transformer_QAVi", "results": []}]} | LongRiver/transformer_QAVi | null | [
"transformers",
"tf",
"tensorboard",
"distilbert",
"question-answering",
"generated_from_keras_callback",
"base_model:distilbert-base-cased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T18:56:20+00:00 | [] | [] | TAGS
#transformers #tf #tensorboard #distilbert #question-answering #generated_from_keras_callback #base_model-distilbert-base-cased #license-apache-2.0 #endpoints_compatible #region-us
| LongRiver/transformer\_QAVi
===========================
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.7583
* Train End Logits Accuracy: 0.5813
* Train Start Logits Accuracy: 0.5573
* Validation Loss: 2.0446... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Tru... | [
"TAGS\n#transformers #tf #tensorboard #distilbert #question-answering #generated_from_keras_callback #base_model-distilbert-base-cased #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'A... | [
57,
291,
5,
38
] | [
"TAGS\n#transformers #tf #tensorboard #distilbert #question-answering #generated_from_keras_callback #base_model-distilbert-base-cased #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', ... |
text-generation | transformers | # jondurbin/bagel-7b-v0.5 AWQ
- Model creator: [jondurbin](https://huggingface.co/jondurbin)
- Original model: [bagel-dpo-7b-v0.4](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.4)
## Model Summary
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See [bagel](https://github... | {"license": "apache-2.0", "tags": ["finetuned", "quantized", "4-bit", "AWQ", "transformers", "pytorch", "mistral", "instruct", "text-generation", "conversational", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", "region:us", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "di... | solidrust/bagel-7b-v0.5-AWQ | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"finetuned",
"quantized",
"4-bit",
"AWQ",
"pytorch",
"instruct",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"finetune",
"chatml",
"DPO",
"RLHF",
"gpt4",... | null | 2024-04-14T18:59:23+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #finetuned #quantized #4-bit #AWQ #pytorch #instruct #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us #finetune #chatml #DPO #RLHF #gpt4 #synthetic data #distillation #dataset-ai2_arc #dataset-allenai/ultrafeedbac... | # jondurbin/bagel-7b-v0.5 AWQ
- Model creator: jondurbin
- Original model: bagel-dpo-7b-v0.4
!bagel
## Model Summary
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See bagel for additional details on the datasets.
The DPO version is available here
## How to use
### Install the necessary pa... | [
"# jondurbin/bagel-7b-v0.5 AWQ\n\n- Model creator: jondurbin\n- Original model: bagel-dpo-7b-v0.4\n\n!bagel",
"## Model Summary\n\nThis is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.\n\nSee bagel for additional details on the datasets.\n\nThe DPO version is available here",
"## How to use",
"... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #finetuned #quantized #4-bit #AWQ #pytorch #instruct #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us #finetune #chatml #DPO #RLHF #gpt4 #synthetic data #distillation #dataset-ai2_arc #dataset-allenai/ultraf... | [
645,
44,
51,
5,
7,
6,
172,
7
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #finetuned #quantized #4-bit #AWQ #pytorch #instruct #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us #finetune #chatml #DPO #RLHF #gpt4 #synthetic data #distillation #dataset-ai2_arc #dataset-allenai/ultraf... |
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. -->
# codegen_e7
This model is a fine-tuned version of [Salesforce/codegen-350M-mono](https://huggingface.co/Salesforce/codegen-350M-m... | {"license": "bsd-3-clause", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "Salesforce/codegen-350M-mono", "model-index": [{"name": "codegen_e7", "results": []}]} | SSahas/codegen_e7 | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:Salesforce/codegen-350M-mono",
"license:bsd-3-clause",
"region:us"
] | null | 2024-04-14T19:01:11+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-Salesforce/codegen-350M-mono #license-bsd-3-clause #region-us
|
# codegen_e7
This model is a fine-tuned version of Salesforce/codegen-350M-mono on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
"# codegen_e7\n\nThis model is a fine-tuned version of Salesforce/codegen-350M-mono on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-Salesforce/codegen-350M-mono #license-bsd-3-clause #region-us \n",
"# codegen_e7\n\nThis model is a fine-tuned version of Salesforce/codegen-350M-mono on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended ... | [
48,
31,
7,
9,
9,
4,
104,
5,
51
] | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-Salesforce/codegen-350M-mono #license-bsd-3-clause #region-us \n# codegen_e7\n\nThis model is a fine-tuned version of Salesforce/codegen-350M-mono on the None dataset.## Model description\n\nMore information needed## Intended uses & limitations... |
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": []} | cilantro9246/8i2pgcx | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:01:14+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... |
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. -->
# t5_recommendation_jobs_skills
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "t5_recommendation_jobs_skills", "results": []}]} | mostafa0841/t5_recommendation_jobs_skills | null | [
"transformers",
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T19:03:15+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5\_recommendation\_jobs\_skills
================================
This model is a fine-tuned version of t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4429
* Rouge1: 52.6616
* Rouge2: 30.0723
* Rougel: 52.5572
* Rougelsum: 52.6440
* Gen Len: 3.8132
Model descripti... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.01\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
"TAGS\n#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #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\n* learning\\_rate... | [
54,
123,
5,
40
] | [
"TAGS\n#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #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\n* learning\\_rate: 0.01... |
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. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | Shridharam/donut-base-sroie | null | [
"transformers",
"tensorboard",
"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:03:53+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
"# donut-base-sroie\n\nThis model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proc... | [
"TAGS\n#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us \n",
"# donut-base-sroie\n\nThis model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dat... | [
62,
38,
7,
9,
9,
4,
102,
5,
43
] | [
"TAGS\n#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us \n# donut-base-sroie\n\nThis model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.#... |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | togu6669/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-14T19:05:46+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo... | [
37,
81,
76,
10,
6,
3
] | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nT... |
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/sad_pepe_7 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:06:08+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... |
null | transformers |
# Uploaded model
- **Developed by:** czaplon
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | czaplon/space-oddysey | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:15:07+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: czaplon
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: czaplon\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: czaplon\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-... | [
70,
87
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: czaplon\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instru... |
feature-extraction | 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": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep16 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:16:31+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-roberta #feature-extraction #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 #xlm-roberta #feature-extraction #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 au... | [
35,
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 #xlm-roberta #feature-extraction #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 genera... |
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": []} | HeydarS/MiniCPM_popQA_peft_v52 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:18:55+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 | transformers |
# testMoE
testMoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
* [beowolx/CodeNinja-1.0-OpenChat-7B](https://huggin... | {"license": "cc-by-nc-4.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "mlabonne/AlphaMonarch-7B", "beowolx/CodeNinja-1.0-OpenChat-7B", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "mlabonne/NeuralDaredevil-7B"], "base_model": ["mlabonne/AlphaMonarch-7B", "beowolx/CodeNinja-1.0-OpenChat-7B", "SanjiWatsuki... | ManniX-ITA/testMoE | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"mlabonne/AlphaMonarch-7B",
"beowolx/CodeNinja-1.0-OpenChat-7B",
"SanjiWatsuki/Kunoichi-DPO-v2-7B",
"mlabonne/NeuralDaredevil-7B",
"conversational",
"base_model:mlabonne... | null | 2024-04-14T19:21:34+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #mlabonne/AlphaMonarch-7B #beowolx/CodeNinja-1.0-OpenChat-7B #SanjiWatsuki/Kunoichi-DPO-v2-7B #mlabonne/NeuralDaredevil-7B #conversational #base_model-mlabonne/AlphaMonarch-7B #base_model-beowolx/CodeNinja-1.0-Open... |
# testMoE
testMoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* mlabonne/AlphaMonarch-7B
* beowolx/CodeNinja-1.0-OpenChat-7B
* SanjiWatsuki/Kunoichi-DPO-v2-7B
* mlabonne/NeuralDaredevil-7B
## Configuration
## Usage
| [
"# testMoE\n\ntestMoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:\n* mlabonne/AlphaMonarch-7B\n* beowolx/CodeNinja-1.0-OpenChat-7B\n* SanjiWatsuki/Kunoichi-DPO-v2-7B\n* mlabonne/NeuralDaredevil-7B",
"## Configuration",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #mlabonne/AlphaMonarch-7B #beowolx/CodeNinja-1.0-OpenChat-7B #SanjiWatsuki/Kunoichi-DPO-v2-7B #mlabonne/NeuralDaredevil-7B #conversational #base_model-mlabonne/AlphaMonarch-7B #base_model-beowolx/CodeNinja-1.... | [
206,
88,
3,
3
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #mlabonne/AlphaMonarch-7B #beowolx/CodeNinja-1.0-OpenChat-7B #SanjiWatsuki/Kunoichi-DPO-v2-7B #mlabonne/NeuralDaredevil-7B #conversational #base_model-mlabonne/AlphaMonarch-7B #base_model-beowolx/CodeNinja-1.... |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
codegemma-2b - bnb 4bits
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/cod... | {} | RichardErkhov/google_-_codegemma-2b-4bits | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-14T19:22:26+00:00 | [] | [] | TAGS
#transformers #safetensors #gemma #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
codegemma-2b - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
Repo model google/codegemma-2b is gated. You must be authenticated to access it.
| [] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n"
] | [
37
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n"
] |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
codegemma-2b - bnb 8bits
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/cod... | {} | RichardErkhov/google_-_codegemma-2b-8bits | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-14T19:26:20+00:00 | [] | [] | TAGS
#transformers #safetensors #gemma #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
codegemma-2b - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
Repo model google/codegemma-2b is gated. You must be authenticated to access it.
| [] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n"
] | [
37
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n"
] |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [daryl149/llama-2-7b-chat-hf](https://huggin... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["daryl149/llama-2-7b-chat-hf", "arcee-ai/Patent-Base-7b"]} | arcee-ai/Patent-Base-Llama-2-Chat-7B-Slerp | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"base_model:daryl149/llama-2-7b-chat-hf",
"base_model:arcee-ai/Patent-Base-7b",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T19:28:13+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-daryl149/llama-2-7b-chat-hf #base_model-arcee-ai/Patent-Base-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* daryl149/llama-2-7b-chat-hf
* arcee-ai/Patent-Base-7b
### Configuration
The fol... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* daryl149/llama-2-7b-chat-hf\n* arcee-ai/Patent-Base-7b",... | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-daryl149/llama-2-7b-chat-hf #base_model-arcee-ai/Patent-Base-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mer... | [
76,
17,
4,
17,
43,
16
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-daryl149/llama-2-7b-chat-hf #base_model-arcee-ai/Patent-Base-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.... |
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": []} | heyllm234/sc10 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:30:07+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... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ibivibiv/webby_whale_33b_v1
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/webby_whale_3... | {"language": ["en"], "license": "mit", "library_name": "transformers", "base_model": "ibivibiv/webby_whale_33b_v1", "quantized_by": "mradermacher"} | mradermacher/webby_whale_33b_v1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:ibivibiv/webby_whale_33b_v1",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:30:34+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-ibivibiv/webby_whale_33b_v1 #license-mit #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-ibivibiv/webby_whale_33b_v1 #license-mit #endpoints_compatible #region-us \n"
] | [
42
] | [
"TAGS\n#transformers #gguf #en #base_model-ibivibiv/webby_whale_33b_v1 #license-mit #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
# DelexaMaths-12B-MoE
DelexaMaths-12B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [lex-hue/Delexa-7b](https://huggingface.co/lex-hue/Delexa-7b)
* [allknowingroger/Neurallaymons-7B-slerp]... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "lex-hue/Delexa-7b", "allknowingroger/Neurallaymons-7B-slerp"], "base_model": ["lex-hue/Delexa-7b", "allknowingroger/Neurallaymons-7B-slerp"]} | allknowingroger/DelexaMaths-12B-MoE | null | [
"transformers",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"lex-hue/Delexa-7b",
"allknowingroger/Neurallaymons-7B-slerp",
"custom_code",
"base_model:lex-hue/Delexa-7b",
"base_model:allknowingroger/Neurallaymons-7B-slerp",
"license:apache-2.0",
... | null | 2024-04-14T19:31:00+00:00 | [] | [] | TAGS
#transformers #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #lex-hue/Delexa-7b #allknowingroger/Neurallaymons-7B-slerp #custom_code #base_model-lex-hue/Delexa-7b #base_model-allknowingroger/Neurallaymons-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-gene... |
# DelexaMaths-12B-MoE
DelexaMaths-12B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* lex-hue/Delexa-7b
* allknowingroger/Neurallaymons-7B-slerp
## Configuration
## Usage
| [
"# DelexaMaths-12B-MoE\n\nDelexaMaths-12B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:\n* lex-hue/Delexa-7b\n* allknowingroger/Neurallaymons-7B-slerp",
"## Configuration",
"## Usage"
] | [
"TAGS\n#transformers #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #lex-hue/Delexa-7b #allknowingroger/Neurallaymons-7B-slerp #custom_code #base_model-lex-hue/Delexa-7b #base_model-allknowingroger/Neurallaymons-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #tex... | [
125,
67,
3,
3
] | [
"TAGS\n#transformers #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #lex-hue/Delexa-7b #allknowingroger/Neurallaymons-7B-slerp #custom_code #base_model-lex-hue/Delexa-7b #base_model-allknowingroger/Neurallaymons-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #tex... |
null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
codegemma-2b - GGUF
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/codegemm... | {} | RichardErkhov/google_-_codegemma-2b-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-14T19:31:17+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
codegemma-2b - GGUF
* Model creator: URL
* Original model: URL
Name: codegemma-2b.Q2\_K.gguf, Quant method: Q2\_K, Size: 1.08GB
Name: codegemma-2b.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 1.16GB
Name: codegemma-2b.IQ3\_S.gguf, Quant m... | [] | [
"TAGS\n#gguf #region-us \n"
] | [
9
] | [
"TAGS\n#gguf #region-us \n"
] |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [daryl149/llama-2-7b-chat-hf](https://huggin... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["daryl149/llama-2-7b-chat-hf", "arcee-ai/Patent-Instruct-7b"]} | arcee-ai/Patent-Instruct-Llama-2-Chat-7B-Slerp | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"base_model:daryl149/llama-2-7b-chat-hf",
"base_model:arcee-ai/Patent-Instruct-7b",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T19:31:29+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-daryl149/llama-2-7b-chat-hf #base_model-arcee-ai/Patent-Instruct-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* daryl149/llama-2-7b-chat-hf
* arcee-ai/Patent-Instruct-7b
### Configuration
The... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* daryl149/llama-2-7b-chat-hf\n* arcee-ai/Patent-Instruct-... | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-daryl149/llama-2-7b-chat-hf #base_model-arcee-ai/Patent-Instruct-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using... | [
77,
17,
4,
17,
44,
16
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-daryl149/llama-2-7b-chat-hf #base_model-arcee-ai/Patent-Instruct-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using merge... |
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="lacknerm/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"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": ... | lacknerm/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-14T19:33:15+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-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui-no-vest-500
<Gallery />
## Model description
These are rfhuang/maui-no-vest-500 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of a dog named Maui in random situations, taken from a smartphone camer... | rfhuang/maui-no-vest-500 | null | [
"diffusers",
"autotrain",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-14T19:33:23+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui-no-vest-500
<Gallery />
## Model description
These are rfhuang/maui-no-vest-500 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for tr... | [
"# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui-no-vest-500\n\n<Gallery />",
"## Model description\n\nThese are rfhuang/maui-no-vest-500 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the text encoder was enabled: False.\n\nSpecial V... | [
"TAGS\n#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n",
"# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui-no-vest-500\n\n<Gallery />",
"## Model description\n\n... | [
68,
27,
69,
29,
25
] | [
"TAGS\n#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n# AutoTrain SDXL LoRA DreamBooth - rfhuang/maui-no-vest-500\n\n<Gallery />## Model description\n\nThese are rf... |
text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-32B-Chat-layer-mix-bpw-2.2 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T19:37:06+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library a... | [
46,
43
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and lis... |
text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-32B-Chat-layer-mix-bpw-2.5 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T19:37:14+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library a... | [
46,
43
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and lis... |
text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-32B-Chat-layer-mix-bpw-3.0 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T19:37:22+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library a... | [
46,
43
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and lis... |
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="lacknerm/q-Taxi-v3-v1", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False et... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56... | lacknerm/q-Taxi-v3-v1 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-14T19:43:22+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"
] |
token-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. -->
# CNEC_1_1_ext_Czert-B-base-cased
This model is a fine-tuned version of [UWB-AIR/Czert-B-base-cased](https://huggingface.co/UWB-AI... | {"tags": ["generated_from_trainer"], "datasets": ["cnec"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "UWB-AIR/Czert-B-base-cased", "model-index": [{"name": "CNEC_1_1_ext_Czert-B-base-cased", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"nam... | stulcrad/CNEC_1_1_ext_Czert-B-base-cased | null | [
"transformers",
"safetensors",
"bert",
"token-classification",
"generated_from_trainer",
"dataset:cnec",
"base_model:UWB-AIR/Czert-B-base-cased",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:43:28+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #token-classification #generated_from_trainer #dataset-cnec #base_model-UWB-AIR/Czert-B-base-cased #model-index #autotrain_compatible #endpoints_compatible #region-us
| CNEC\_1\_1\_ext\_Czert-B-base-cased
===================================
This model is a fine-tuned version of UWB-AIR/Czert-B-base-cased on the cnec dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2513
* Precision: 0.8384
* Recall: 0.8872
* F1: 0.8621
* Accuracy: 0.9570
Model descripti... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 25",
"### Train... | [
"TAGS\n#transformers #safetensors #bert #token-classification #generated_from_trainer #dataset-cnec #base_model-UWB-AIR/Czert-B-base-cased #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lea... | [
64,
101,
5,
44
] | [
"TAGS\n#transformers #safetensors #bert #token-classification #generated_from_trainer #dataset-cnec #base_model-UWB-AIR/Czert-B-base-cased #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\... |
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. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | Hekhalid/distilbert-base-uncased-finetuned-emotion | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:44:19+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2135
* Accuracy: 0.9275
* F1: 0.9275
Model description
-----------------
Mo... | [
"### 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: 2",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters... | [
68,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were ... |
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. -->
# vi_en_envit5-base_news_train
This model is a fine-tuned version of [VietAI/envit5-base](https://huggingface.co/VietAI/envit5-bas... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/envit5-base", "model-index": [{"name": "vi_en_envit5-base_news_train", "results": []}]} | yuufong/vi_en_envit5-base_news_train | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/envit5-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T19:45:25+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/envit5-base #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# vi_en_envit5-base_news_train
This model is a fine-tuned version of VietAI/envit5-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
"# vi_en_envit5-base_news_train\n\nThis model is a fine-tuned version of VietAI/envit5-base 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",
"## Training proc... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/envit5-base #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# vi_en_envit5-base_news_train\n\nThis model is a fine-tuned version of VietAI/envit5-base on an u... | [
60,
39,
7,
9,
9,
4,
111,
44
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/envit5-base #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# vi_en_envit5-base_news_train\n\nThis model is a fine-tuned version of VietAI/envit5-base on an unknown... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [arcee-ai/sec-mistral-7b-instruct-1.6-epoch]... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["arcee-ai/sec-mistral-7b-instruct-1.6-epoch", "Equall/Saul-Base"]} | nehuggingface/Saul-sec-slerp | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:arcee-ai/sec-mistral-7b-instruct-1.6-epoch",
"base_model:Equall/Saul-Base",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
... | null | 2024-04-14T19:46:27+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-arcee-ai/sec-mistral-7b-instruct-1.6-epoch #base_model-Equall/Saul-Base #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* arcee-ai/sec-mistral-7b-instruct-1.6-epoch
* Equall/Saul-Base
### Configuration
... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* arcee-ai/sec-mistral-7b-instruct-1.6-epoch\n* Equall/Sau... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-arcee-ai/sec-mistral-7b-instruct-1.6-epoch #base_model-Equall/Saul-Base #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trai... | [
83,
17,
4,
17,
43,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-arcee-ai/sec-mistral-7b-instruct-1.6-epoch #base_model-Equall/Saul-Base #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained la... |
text-generation | transformers | Qwen 4B chat by Alibaba, SFTuned on Saiga dataset. Finetuned with EasyDeL framework on v3-8 Google TPU, provided by TRC.
Модель Qwen 4B, дообученая на датасете Ильи Гусева. По моему краткому опыту общения с моделью, лучше чем Saiga-mistral. Не ошибается в падежах. Карточка модели будет дополнена после теста на Russia... | {"license": "apache-2.0", "tags": ["Russian"]} | Defetya/qwen-4B-saiga | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"Russian",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T19:46:35+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #Russian #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Qwen 4B chat by Alibaba, SFTuned on Saiga dataset. Finetuned with EasyDeL framework on v3-8 Google TPU, provided by TRC.
Модель Qwen 4B, дообученая на датасете Ильи Гусева. По моему краткому опыту общения с моделью, лучше чем Saiga-mistral. Не ошибается в падежах. Карточка модели будет дополнена после теста на Russia... | [] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #Russian #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
48
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #Russian #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
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-base-finetuned2222222222222222222222222222222
This model is a fine-tuned version of [openai/whisper-base](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "whisper-base-finetuned2222222222222222222222222222222", "results": []}]} | abbenedek/finetuned | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:openai/whisper-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:46:44+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-base #license-apache-2.0 #endpoints_compatible #region-us
| whisper-base-finetuned2222222222222222222222222222222
=====================================================
This model is a fine-tuned version of openai/whisper-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0018
* Wer: 0.125
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-06\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\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 #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-base #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate... | [
52,
126,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-base #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-0... |
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. -->
# wav2vec2-mms-1b-ikk-1
This model is a fine-tuned version of [facebook/mms-1b](https://huggingface.co/facebook/mms-1b) on the aud... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "base_model": "facebook/mms-1b", "model-index": [{"name": "wav2vec2-mms-1b-ikk-1", "results": []}]} | ogbi/wav2vec2-mms-1b-ikk-1 | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:audiofolder",
"base_model:facebook/mms-1b",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:50:05+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-audiofolder #base_model-facebook/mms-1b #license-cc-by-nc-4.0 #endpoints_compatible #region-us
|
# wav2vec2-mms-1b-ikk-1
This model is a fine-tuned version of facebook/mms-1b on the audiofolder dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.3341
- eval_wer: 0.5501
- eval_runtime: 12.2842
- eval_samples_per_second: 7.978
- eval_steps_per_second: 1.058
- epoch: 7.42
- step: 240
... | [
"# wav2vec2-mms-1b-ikk-1\n\nThis model is a fine-tuned version of facebook/mms-1b on the audiofolder dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 1.3341\n- eval_wer: 0.5501\n- eval_runtime: 12.2842\n- eval_samples_per_second: 7.978\n- eval_steps_per_second: 1.058\n- epoch: 7.42\n... | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-audiofolder #base_model-facebook/mms-1b #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n",
"# wav2vec2-mms-1b-ikk-1\n\nThis model is a fine-tuned version of facebook/mms-1b on the audio... | [
68,
120,
7,
9,
9,
4,
133,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-audiofolder #base_model-facebook/mms-1b #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n# wav2vec2-mms-1b-ikk-1\n\nThis model is a fine-tuned version of facebook/mms-1b on the audiofolder... |
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="lacknerm/q-Taxi-v3-v2", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False et... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3-v2", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56... | lacknerm/q-Taxi-v3-v2 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-14T19:50:27+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"
] |
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": []} | ayilmaz/gemma-2b-it-mimic-3-qa-lora-sft-v2 | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T19:50:32+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #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 #gemma #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... | [
46,
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 #gemma #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 o... |
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. -->
# 0.0001_ablation_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingF... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0001_ablation_iter_1", "results": []}]} | ShenaoZ/0.0001_ablation_iter_1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"base_model:HuggingFaceH4/mistral-7b-sft-beta",
"license:mit",
"autotrain_compatible",
"endpoints_co... | null | 2024-04-14T19:51:32+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.0001_ablation_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
##... | [
"# 0.0001_ablation_iter_1\n\nThis model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore ... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-u... | [
94,
55,
7,
9,
9,
4,
155,
5,
44
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-u... |
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. -->
# 0.001_ablation_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFa... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_ablation_iter_1", "results": []}]} | ShenaoZ/0.001_ablation_iter_1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"base_model:HuggingFaceH4/mistral-7b-sft-beta",
"license:mit",
"autotrain_compatible",
"endpoints_co... | null | 2024-04-14T19:51:39+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.001_ablation_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## ... | [
"# 0.001_ablation_iter_1\n\nThis model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore i... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-u... | [
94,
54,
7,
9,
9,
4,
155,
5,
44
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-u... |
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. -->
# spider-gemma7b-it
This model is a fine-tuned version of [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) on an un... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-7b-it", "model-index": [{"name": "spider-gemma7b-it", "results": []}]} | nem012/spider-gemma7b-it | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:google/gemma-7b-it",
"license:gemma",
"region:us"
] | null | 2024-04-14T19:52:55+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-7b-it #license-gemma #region-us
| spider-gemma7b-it
=================
This model is a fine-tuned version of google/gemma-7b-it on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1600
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: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-7b-it #license-gemma #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\\_size: 4\n* ... | [
44,
142,
5,
52
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-7b-it #license-gemma #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\\_size: 4\n* seed: ... |
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. -->
# bert_imdb
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-cased", "model-index": [{"name": "bert_imdb", "results": []}]} | Stephanie-S/bert_imdb | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:google-bert/bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:53:12+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-google-bert/bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert\_imdb
==========
This model is a fine-tuned version of google-bert/bert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2466
* Accuracy: 0.9342
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 #safetensors #bert #text-classification #generated_from_trainer #base_model-google-bert/bert-base-cased #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\\... | [
56,
101,
5,
44
] | [
"TAGS\n#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-google-bert/bert-base-cased #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\\_rate:... |
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. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | Awayes/distilbert-base-uncased-finetuned-emotion | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:54:14+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2154
* Accuracy: 0.9255
* F1: 0.9256
Model description
-----------------
Mo... | [
"### 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: 2",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters... | [
68,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #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 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": []} | shallow6414/fo4lug8 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:56:11+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... |
null | null | # Furniture-Segmentation
Welcome to our furniture segmentation project, where we leverage the cutting-edge capabilities of YOLOv8m, combined with the data management and augmentation powers of Roboflow, to accurately identify and segment various furniture items in images. This project aims to facilitate applications in... | {} | MaherMohsen/furniture-yolov8 | null | [
"region:us"
] | null | 2024-04-14T19:57:54+00:00 | [] | [] | TAGS
#region-us
| # Furniture-Segmentation
Welcome to our furniture segmentation project, where we leverage the cutting-edge capabilities of YOLOv8m, combined with the data management and augmentation powers of Roboflow, to accurately identify and segment various furniture items in images. This project aims to facilitate applications in... | [
"# Furniture-Segmentation\nWelcome to our furniture segmentation project, where we leverage the cutting-edge capabilities of YOLOv8m, combined with the data management and augmentation powers of Roboflow, to accurately identify and segment various furniture items in images. This project aims to facilitate applicati... | [
"TAGS\n#region-us \n",
"# Furniture-Segmentation\nWelcome to our furniture segmentation project, where we leverage the cutting-edge capabilities of YOLOv8m, combined with the data management and augmentation powers of Roboflow, to accurately identify and segment various furniture items in images. This project aim... | [
5,
74,
34,
107,
3,
29,
38,
21,
18,
28,
16,
33
] | [
"TAGS\n#region-us \n# Furniture-Segmentation\nWelcome to our furniture segmentation project, where we leverage the cutting-edge capabilities of YOLOv8m, combined with the data management and augmentation powers of Roboflow, to accurately identify and segment various furniture items in images. This project aims to f... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [openchat/openchat](https://huggingface.co/o... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["openchat/openchat", "CarperAI/stable-vicuna-13b-delta"]} | ehristoforu/plms-0001 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"base_model:openchat/openchat",
"base_model:CarperAI/stable-vicuna-13b-delta",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T19:58:33+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-openchat/openchat #base_model-CarperAI/stable-vicuna-13b-delta #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* openchat/openchat
* CarperAI/stable-vicuna-13b-delta
### Configuration
The foll... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* openchat/openchat\n* CarperAI/stable-vicuna-13b-delta",
... | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-openchat/openchat #base_model-CarperAI/stable-vicuna-13b-delta #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using merg... | [
69,
17,
4,
17,
36,
16
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #base_model-openchat/openchat #base_model-CarperAI/stable-vicuna-13b-delta #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.#... |
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": []} | bdsaglam/llama-2-7b-chat-jerx-peft-5lnqbsaa | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T19:59:39+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... |
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. -->
# phi-2-projectFour
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown ... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-projectFour", "results": []}]} | MarkHolden25/phi-2-projectFour | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-14T20:01:09+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
|
# phi-2-projectFour
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The... | [
"# phi-2-projectFour\n\nThis model is a fine-tuned version of microsoft/phi-2 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",
"## Training procedure",
"###... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us \n",
"# phi-2-projectFour\n\nThis model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore... | [
38,
28,
7,
9,
9,
4,
93,
5,
52
] | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us \n# phi-2-projectFour\n\nThis model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.## Model description\n\nMore information needed## Intended uses & limitations\n\nMore information neede... |
fill-mask | 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": []} | SrushNaik/dummy-model | null | [
"transformers",
"safetensors",
"camembert",
"fill-mask",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T20:03:03+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #camembert #fill-mask #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 #camembert #fill-mask #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 ... | [
39,
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 #camembert #fill-mask #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 automatic... |
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": []} | savinda99/roberta-hate-speech-dynabench-r4-target-finetuned-with-keywords | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T20:03:15+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... |
null | peft |
# 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. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | nestor2509/Mistral-7B-cevEtiquetado-v0.3 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"region:us"
] | null | 2024-04-14T20:04:19+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: ... | [
44,
6,
4,
50,
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,
13
] | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from... |
null | mlx |
# GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-2.5`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-2.5) for more details on the model.
## Use with mlx
```bash
... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-2.5-mlx | null | [
"mlx",
"safetensors",
"llama",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T20:04:23+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-apache-2.0 #region-us
|
# GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-2.5']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-2.5-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-2.5']().\nRefer to the original model card for more details on the model.",
"## Use with mlx"
] | [
"TAGS\n#mlx #safetensors #llama #license-apache-2.0 #region-us \n",
"# GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-2.5-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-2.5']().\nRefer to the original model card for more details on the model.",
"## Use with m... | [
23,
84,
6
] | [
"TAGS\n#mlx #safetensors #llama #license-apache-2.0 #region-us \n# GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-2.5-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-2.5']().\nRefer to the original model card for more details on the model.## Use with mlx"
] |
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": []} | pandafm/donutES-vf2 | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T20:06:38+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #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 #vision-encoder-decoder #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 automatical... | [
35,
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 #vision-encoder-decoder #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-... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [arcee-ai/sec-mistral-7b-instruct-1.6-epoch]... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["arcee-ai/sec-mistral-7b-instruct-1.6-epoch", "MaziyarPanahi/Starling-LM-11B-alpha-Mistral-7B-Instruct-v0.2-slerp"]} | nehuggingface/Starling-sec-mistral-slerpslerp | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:arcee-ai/sec-mistral-7b-instruct-1.6-epoch",
"base_model:MaziyarPanahi/Starling-LM-11B-alpha-Mistral-7B-Instruct-v0.2-slerp",
"autotrain_compatible",
"endpoints_compatible",
"text-ge... | null | 2024-04-14T20:06:54+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-arcee-ai/sec-mistral-7b-instruct-1.6-epoch #base_model-MaziyarPanahi/Starling-LM-11B-alpha-Mistral-7B-Instruct-v0.2-slerp #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* arcee-ai/sec-mistral-7b-instruct-1.6-epoch
* MaziyarPanahi/Starling-LM-11B-alpha-... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* arcee-ai/sec-mistral-7b-instruct-1.6-epoch\n* MaziyarPan... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-arcee-ai/sec-mistral-7b-instruct-1.6-epoch #base_model-MaziyarPanahi/Starling-LM-11B-alpha-Mistral-7B-Instruct-v0.2-slerp #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
... | [
108,
17,
4,
17,
72,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-arcee-ai/sec-mistral-7b-instruct-1.6-epoch #base_model-MaziyarPanahi/Starling-LM-11B-alpha-Mistral-7B-Instruct-v0.2-slerp #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# mer... |
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/sad_pepe_8 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T20:07:23+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... |
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": []} | abhayesian/BobzillaV20 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T20:08:18+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 | 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. -->
# relu_mistral_7b_refined_web_relu_2024-04-14
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "relu_mistral_7b_refined_web_relu_2024-04-14", "results": []}]} | thrunlab/relu_mistral_7b_refined_web_relu_2024-04-14 | null | [
"transformers",
"safetensors",
"sparse_llama",
"text-generation",
"generated_from_trainer",
"custom_code",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-14T20:10:23+00:00 | [] | [] | TAGS
#transformers #safetensors #sparse_llama #text-generation #generated_from_trainer #custom_code #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #autotrain_compatible #region-us
| relu\_mistral\_7b\_refined\_web\_relu\_2024-04-14
=================================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6436
Model description
-----------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 2\n* seed: 0\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* ... | [
"TAGS\n#transformers #safetensors #sparse_llama #text-generation #generated_from_trainer #custom_code #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #autotrain_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: ... | [
62,
154,
5,
44
] | [
"TAGS\n#transformers #safetensors #sparse_llama #text-generation #generated_from_trainer #custom_code #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #autotrain_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\... |
null | transformers |
# Uploaded model
- **Developed by:** czaplon
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | czaplon/space-oddysey2 | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T20:12:46+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: czaplon
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: czaplon\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: czaplon\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-... | [
70,
87
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: czaplon\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instru... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Llama-2-7b-hf", "microsoft/Orca-2-7b", "arcee-ai/Patent-Instruct-7b"]} | mergekit-community/mergekit-ties-anlytjh | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"arxiv:2306.01708",
"base_model:NousResearch/Llama-2-7b-hf",
"base_model:microsoft/Orca-2-7b",
"base_model:arcee-ai/Patent-Instruct-7b",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference"... | null | 2024-04-14T20:15:06+00:00 | [
"2306.01708"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #arxiv-2306.01708 #base_model-NousResearch/Llama-2-7b-hf #base_model-microsoft/Orca-2-7b #base_model-arcee-ai/Patent-Instruct-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using NousResearch/Llama-2-7b-hf as a base.
### Models Merged
The following models were included in the merge:
* microsoft/Orca-2-7b
* arcee-ai/Patent-I... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the TIES merge method using NousResearch/Llama-2-7b-hf as a base.",
"### Models Merged\n\nThe following models were included in the merge:\n* microsoft/Orca... | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #arxiv-2306.01708 #base_model-NousResearch/Llama-2-7b-hf #base_model-microsoft/Orca-2-7b #base_model-arcee-ai/Patent-Instruct-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a m... | [
102,
17,
4,
35,
37,
16
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #mergekit #merge #arxiv-2306.01708 #base_model-NousResearch/Llama-2-7b-hf #base_model-microsoft/Orca-2-7b #base_model-arcee-ai/Patent-Instruct-7b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge o... |
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. -->
# distilbert-base-multilingual-cased_regression_finetuned_dcard
This model is a fine-tuned version of [distilbert/distilbert-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-multilingual-cased", "model-index": [{"name": "distilbert-base-multilingual-cased_regression_finetuned_dcard", "results": []}]} | Mou11209203/distilbert-base-multilingual-cased_regression_finetuned_dcard | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-multilingual-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T20:15:22+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-multilingual-cased\_regression\_finetuned\_dcard
================================================================
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6389
* Mse: ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-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: cosine\n* lr\\_scheduler\\_warmup\\_steps... | [
"TAGS\n#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during tra... | [
64,
120,
5,
40
] | [
"TAGS\n#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:... |
reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | APLunch/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-14T20:19:57+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n",
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n W... | [
35,
199
] | [
"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
text-to-image | diffusers |
# LoRA DreamBooth - Pixel390/BOYV1demo
These are LoRA adaption weights for Yntec/Genuine. The weights were trained on a uxz high quality, anime style, a boy using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
LoRA for the text encoder was enabled: True.
| {"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "lora"], "base_model": "Yntec/Genuine", "instance_prompt": "a uxz high quality, anime style, a boy", "inference": true} | Pixel390/BOYV1demo | null | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"lora",
"base_model:Yntec/Genuine",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-14T20:21:03+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #lora #base_model-Yntec/Genuine #license-creativeml-openrail-m #region-us
|
# LoRA DreamBooth - Pixel390/BOYV1demo
These are LoRA adaption weights for Yntec/Genuine. The weights were trained on a uxz high quality, anime style, a boy using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: True.
| [
"# LoRA DreamBooth - Pixel390/BOYV1demo\n\nThese are LoRA adaption weights for Yntec/Genuine. The weights were trained on a uxz high quality, anime style, a boy using DreamBooth. You can find some example images in the following. \n\n\n\nLoRA for the text encoder was enabled: True."
] | [
"TAGS\n#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #lora #base_model-Yntec/Genuine #license-creativeml-openrail-m #region-us \n",
"# LoRA DreamBooth - Pixel390/BOYV1demo\n\nThese are LoRA adaption weights for Yntec/Genuine. The weights were trained on a uxz high quality, anime style, a... | [
48,
75
] | [
"TAGS\n#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #lora #base_model-Yntec/Genuine #license-creativeml-openrail-m #region-us \n# LoRA DreamBooth - Pixel390/BOYV1demo\n\nThese are LoRA adaption weights for Yntec/Genuine. The weights were trained on a uxz high quality, anime style, a boy u... |
text-generation | transformers |
# Experiment27pasticheYamshadowexperiment28-7B
Experiment27pasticheYamshadowexperiment28-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [automerger/YamshadowExperiment28-7B](https://huggingface.co/automerger/YamshadowExperiment28-7B)
## 🧩 C... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["automerger/YamshadowExperiment28-7B"]} | automerger/Experiment27pasticheYamshadowexperiment28-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"automerger",
"base_model:automerger/YamshadowExperiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T20:22:51+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-automerger/YamshadowExperiment28-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Experiment27pasticheYamshadowexperiment28-7B
Experiment27pasticheYamshadowexperiment28-7B is an automated merge created by Maxime Labonne using the following configuration.
* automerger/YamshadowExperiment28-7B
## Configuration
## Usage
| [
"# Experiment27pasticheYamshadowexperiment28-7B\n\nExperiment27pasticheYamshadowexperiment28-7B is an automated merge created by Maxime Labonne using the following configuration.\n* automerger/YamshadowExperiment28-7B",
"## Configuration",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-automerger/YamshadowExperiment28-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Experiment27pasticheYamshadowexperiment28-7B\n\nExper... | [
77,
65,
3,
3
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-automerger/YamshadowExperiment28-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Experiment27pasticheYamshadowexperiment28-7B\n\nExperiment2... |
null | transformers |
# Uploaded model
- **Developed by:** theprint
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
| {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/tinyllama-bnb-4bit"} | theprint/tinyllama-EC-Instruct-v0.1 | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:unsloth/tinyllama-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T20:26:53+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #llama #trl #en #base_model-unsloth/tinyllama-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: theprint
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
| [
"# Uploaded model\n\n- Developed by: theprint\n- License: apache-2.0\n- Finetuned from model : unsloth/tinyllama-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library."
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #llama #trl #en #base_model-unsloth/tinyllama-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: theprint\n- License: apache-2.0\n- Finetuned from model : unsloth/tinyllama-bnb-4bit\n\nThis ... | [
60,
59
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #llama #trl #en #base_model-unsloth/tinyllama-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: theprint\n- License: apache-2.0\n- Finetuned from model : unsloth/tinyllama-bnb-4bit\n\nThis llama ... |
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": []} | NouRed/BioMed-Tuned-Gemma-2b | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T20:26:58+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 | transformers |
# DelexaMultiverse-12B-MoE
DelexaMultiverse-12B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [lex-hue/Delexa-7b](https://huggingface.co/lex-hue/Delexa-7b)
* [allknowingroger/MultiverseEx2... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "lex-hue/Delexa-7b", "allknowingroger/MultiverseEx26-7B-slerp"], "base_model": ["lex-hue/Delexa-7b", "allknowingroger/MultiverseEx26-7B-slerp"]} | allknowingroger/DelexaMultiverse-12B-MoE | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"lex-hue/Delexa-7b",
"allknowingroger/MultiverseEx26-7B-slerp",
"base_model:lex-hue/Delexa-7b",
"base_model:allknowingroger/MultiverseEx26-7B-slerp",
"license:apache-2.0",... | null | 2024-04-14T20:28:30+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #lex-hue/Delexa-7b #allknowingroger/MultiverseEx26-7B-slerp #base_model-lex-hue/Delexa-7b #base_model-allknowingroger/MultiverseEx26-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-ge... |
# DelexaMultiverse-12B-MoE
DelexaMultiverse-12B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* lex-hue/Delexa-7b
* allknowingroger/MultiverseEx26-7B-slerp
## Configuration
## Usage
| [
"# DelexaMultiverse-12B-MoE\n\nDelexaMultiverse-12B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:\n* lex-hue/Delexa-7b\n* allknowingroger/MultiverseEx26-7B-slerp",
"## Configuration",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #lex-hue/Delexa-7b #allknowingroger/MultiverseEx26-7B-slerp #base_model-lex-hue/Delexa-7b #base_model-allknowingroger/MultiverseEx26-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #t... | [
127,
72,
3,
3
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #lex-hue/Delexa-7b #allknowingroger/MultiverseEx26-7B-slerp #base_model-lex-hue/Delexa-7b #base_model-allknowingroger/MultiverseEx26-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #t... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "Equall/Saul-Instruct-v1"]} | nehuggingface/Hermes2pro-mistral-saul-instruct-slerp | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:NousResearch/Hermes-2-Pro-Mistral-7B",
"base_model:Equall/Saul-Instruct-v1",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T20:29:23+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #base_model-Equall/Saul-Instruct-v1 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* Equall/Saul-Instruct-v1
### Configuration... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* NousResearch/Hermes-2-Pro-Mistral-7B\n* Equall/Saul-Inst... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #base_model-Equall/Saul-Instruct-v1 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained langua... | [
79,
17,
4,
17,
43,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #base_model-Equall/Saul-Instruct-v1 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language mod... |
text-generation | transformers |
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63905e87df447b438817b2cd/QFhLKQlWeyO9XumtyghVo.jpeg" alt="Image" style="width: 400px; height: auto; border-radius: 10px;" />
</p>
## Model Details
- **Developed by:** Tuan Pham (FPTU HCM Student)
- Contact me at: weekend.2810@gma... | {"language": ["vi", "en"], "license": "apache-2.0", "model-index": [{"name": "T-Llama", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num_few_shot": 25}}, "met... | hflog/capleaf-T-Llama | null | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"vi",
"en",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T20:37:49+00:00 | [] | [
"vi",
"en"
] | TAGS
#transformers #pytorch #safetensors #llama #text-generation #vi #en #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Model Details
-------------
* Developed by: Tuan Pham (FPTU HCM Student)
+ Contact me at: weekend.2810@URL or tuanpmse160561@URL
+ Looking for intern opportunity :D
* Model type: Llama2-7B Decoder-only
* Finetuned from model :
+ meta-llama/Llama-2-7b
+ bkai-foundation-models/vietnamese-llama2-7b... | [
"### Model Description\n\n\nThis model is a proof of effort that one man can fine-tune his own model to reach SOTA.",
"### Model Sources\n\n\n* Repository:\n\t+ Training: URL\n\t+ Data: URL\n* Paper: ...\n* Demo: ...\n* Here is a kaggle and colab script to quickly test the model:\n\t+ URL\n\t+ URL\n\n\nUses\n----... | [
"TAGS\n#transformers #pytorch #safetensors #llama #text-generation #vi #en #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\n\nThis model is a proof of effort that one man can fine-tune his own model to reach SOTA.",
... | [
55,
27,
57,
514,
122,
88,
122
] | [
"TAGS\n#transformers #pytorch #safetensors #llama #text-generation #vi #en #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\n\nThis model is a proof of effort that one man can fine-tune his own model to reach SOTA.### Model ... |
tabular-regression | null |
# Model Trained Using AutoTrain
- Problem type: Tabular regression
## Validation Metrics
- r2: 0.9900762497798218
- mse: 10317.805777253338
- mae: 74.54517527770996
- rmse: 101.57660053995377
- rmsle: 0.042811727450114016
- loss: 101.57660053995377
## Best Params
- learning_rate: 0.016479102091350954
- reg_lambda... | {"tags": ["autotrain", "tabular", "regression", "tabular-regression"], "datasets": ["autotrain-uljkp-sdhgs/autotrain-data"]} | as-cle-bert/carbon-footprint-prediction | null | [
"joblib",
"autotrain",
"tabular",
"regression",
"tabular-regression",
"dataset:autotrain-uljkp-sdhgs/autotrain-data",
"region:us"
] | null | 2024-04-14T20:39:49+00:00 | [] | [] | TAGS
#joblib #autotrain #tabular #regression #tabular-regression #dataset-autotrain-uljkp-sdhgs/autotrain-data #region-us
|
# Model Trained Using AutoTrain
- Problem type: Tabular regression
## Validation Metrics
- r2: 0.9900762497798218
- mse: 10317.805777253338
- mae: 74.54517527770996
- rmse: 101.57660053995377
- rmsle: 0.042811727450114016
- loss: 101.57660053995377
## Best Params
- learning_rate: 0.016479102091350954
- reg_lambda... | [
"# Model Trained Using AutoTrain\n\n- Problem type: Tabular regression",
"## Validation Metrics\n\n- r2: 0.9900762497798218\n- mse: 10317.805777253338\n- mae: 74.54517527770996\n- rmse: 101.57660053995377\n- rmsle: 0.042811727450114016\n- loss: 101.57660053995377",
"## Best Params\n\n- learning_rate: 0.01647910... | [
"TAGS\n#joblib #autotrain #tabular #regression #tabular-regression #dataset-autotrain-uljkp-sdhgs/autotrain-data #region-us \n",
"# Model Trained Using AutoTrain\n\n- Problem type: Tabular regression",
"## Validation Metrics\n\n- r2: 0.9900762497798218\n- mse: 10317.805777253338\n- mae: 74.54517527770996\n- rms... | [
40,
13,
96,
127,
3
] | [
"TAGS\n#joblib #autotrain #tabular #regression #tabular-regression #dataset-autotrain-uljkp-sdhgs/autotrain-data #region-us \n# Model Trained Using AutoTrain\n\n- Problem type: Tabular regression## Validation Metrics\n\n- r2: 0.9900762497798218\n- mse: 10317.805777253338\n- mae: 74.54517527770996\n- rmse: 101.57660... |
text-generation | transformers | 6.0 bit exl2 quant (8 vut head) of Fireworks Hermes 2.5 fine tune of Mixtral-8x22b
Use Vicuna prompt template
needs ~ 120GB vRam (2xA100 or 3X RTX 6000) | {"license": "apache-2.0"} | bdambrosio/Mixtral-8x22b-instruct-oh-6.0bpw-exl2 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"6-bit",
"region:us"
] | null | 2024-04-14T20:40:46+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us
| 6.0 bit exl2 quant (8 vut head) of Fireworks Hermes 2.5 fine tune of Mixtral-8x22b
Use Vicuna prompt template
needs ~ 120GB vRam (2xA100 or 3X RTX 6000) | [] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us \n"
] | [
49
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us \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. -->
# distilbert-base-multilingual-cased_regression_finetuned_mobile01_all
This model is a fine-tuned version of [distilbert/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-multilingual-cased", "model-index": [{"name": "distilbert-base-multilingual-cased_regression_finetuned_mobile01_all", "results": []}]} | Mou11209203/distilbert-base-multilingual-cased_regression_finetuned_mobile01_all | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-multilingual-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T20:43:28+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-multilingual-cased\_regression\_finetuned\_mobile01\_all
========================================================================
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-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: cosine\n* lr\\_scheduler\\_warmup\\_steps... | [
"TAGS\n#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during tra... | [
64,
120,
5,
40
] | [
"TAGS\n#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:... |
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": []} | abbenedek/whisper-base-finetuned | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T20:44:32+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... |
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": []} | toghrultahirov/gemma-1.1-7b-it-CausalFT | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T20:45:09+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... |
null | null |
## Description
This repo contains GGUF files for the original model.
### Files
- [Chronos-Mistral-7b_Q2_K.gguf](Chronos-Mistral-7b_Q2_K.gguf) (2.72 GB) - smallest, significant quality loss - not recommended for most purposes
- [Chronos-Mistral-7b_Q3_K_S.gguf](Chronos-Mistral-7b_Q3_K_S.gguf) (3.16 GB) - very small, ... | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "chatbot", "storywriting", "gguf"], "base_model": "elinas/chronos-mistral-7b", "inference": false, "model_type": "mistral"} | RikudouSage/Chronos-Mistral-7B-GGUF | null | [
"gguf",
"mistral",
"chatbot",
"storywriting",
"en",
"base_model:elinas/chronos-mistral-7b",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T20:45:25+00:00 | [] | [
"en"
] | TAGS
#gguf #mistral #chatbot #storywriting #en #base_model-elinas/chronos-mistral-7b #license-apache-2.0 #region-us
|
## Description
This repo contains GGUF files for the original model.
### Files
- Chronos-Mistral-7b_Q2_K.gguf (2.72 GB) - smallest, significant quality loss - not recommended for most purposes
- Chronos-Mistral-7b_Q3_K_S.gguf (3.16 GB) - very small, high quality loss
- Chronos-Mistral-7b_Q3_K_M.gguf (3.52 GB) - ver... | [
"## Description\n\nThis repo contains GGUF files for the original model.",
"### Files\n\n- Chronos-Mistral-7b_Q2_K.gguf (2.72 GB) - smallest, significant quality loss - not recommended for most purposes\n- Chronos-Mistral-7b_Q3_K_S.gguf (3.16 GB) - very small, high quality loss\n- Chronos-Mistral-7b_Q3_K_M.gguf (... | [
"TAGS\n#gguf #mistral #chatbot #storywriting #en #base_model-elinas/chronos-mistral-7b #license-apache-2.0 #region-us \n",
"## Description\n\nThis repo contains GGUF files for the original model.",
"### Files\n\n- Chronos-Mistral-7b_Q2_K.gguf (2.72 GB) - smallest, significant quality loss - not recommended for ... | [
45,
16,
347,
129
] | [
"TAGS\n#gguf #mistral #chatbot #storywriting #en #base_model-elinas/chronos-mistral-7b #license-apache-2.0 #region-us \n## Description\n\nThis repo contains GGUF files for the original model.### Files\n\n- Chronos-Mistral-7b_Q2_K.gguf (2.72 GB) - smallest, significant quality loss - not recommended for most purpose... |
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": []} | daanjiri/Biomistral_7b_bhc_10 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-14T20:48:46+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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 #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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 be... | [
48,
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 #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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 H... |
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. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | saraataryy/distilbert-base-uncased-finetuned-emotion | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T20:48:49+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2040
* Accuracy: 0.929
* F1: 0.9291
Model description
-----------------
Mor... | [
"### 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: 2",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters... | [
68,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #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 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": []} | toghrultahirov/gemma-1.1-7b-it-CausalFT-merged | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T20:48:52+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #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 #gemma #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... | [
46,
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 #gemma #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 o... |
text-generation | peft |
# 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. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-v0.1", "widget": [{"messages": [{"role": "user", "content": "\u9ad8\u54c1\u8d28\u7684\u76ae\u9769\u7ed3\u6784\u5728\u575a\u97e7\u7684\u51f8\u8033\u978b\u5e95\u4e0a\u6253\u9020\u51fa\u4e00\u6b3e\u7ed3\u5b9e\u7684\u9774\u5b50"}]}], "pipeline_tag": "text-generat... | CodeJesus77/MistralProdFanyi | null | [
"peft",
"safetensors",
"mistral",
"text-generation",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-v0.1",
"has_space",
"region:us"
] | null | 2024-04-14T20:49:10+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #mistral #text-generation #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #has_space #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #safetensors #mistral #text-generation #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #has_space #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Lang... | [
52,
6,
4,
50,
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,
13
] | [
"TAGS\n#peft #safetensors #mistral #text-generation #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #has_space #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n-... |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolly-v2-7b - bnb 4bits
- Model creator: https://huggingface.co/databricks/
- Original model: https://huggingface.co/databri... | {} | RichardErkhov/databricks_-_dolly-v2-7b-4bits | null | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-14T20:49:11+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolly-v2-7b - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
language:
* en
library\_name: transformers
inference: false
datasets:
* databricks/databricks-do... | [
"### LangChain Usage\n\n\nTo use the pipeline with LangChain, you must set 'return\\_full\\_text=True', as LangChain expects the full text to be returned\nand the default for the pipeline is to only return the new text.\n\n\nYou can create a prompt that either has only an instruction or has an instruction with cont... | [
"TAGS\n#transformers #safetensors #gpt_neox #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"### LangChain Usage\n\n\nTo use the pipeline with LangChain, you must set 'return\\_full\\_text=True', as LangChain expects the full text to be returned\nand ... | [
41,
108,
210,
294,
138
] | [
"TAGS\n#transformers #safetensors #gpt_neox #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n### LangChain Usage\n\n\nTo use the pipeline with LangChain, you must set 'return\\_full\\_text=True', as LangChain expects the full text to be returned\nand the de... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.