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# code-slerp
code-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base)
* [EleutherAI/gpt-neo-x-20b](https://huggingface.co/EleutherAI/gpt-neo-x-2... | {"tags": ["merge", "mergekit", "lazymergekit", "microsoft/codebert-base", "EleutherAI/gpt-neo-x-20b", "openai/codex", "bigscience/bloom", "google/jurassic-1-jumbo", "google/t5-v1_1-large", "facebook/bart-large"], "base_model": ["microsoft/codebert-base", "EleutherAI/gpt-neo-x-20b", "openai/codex", "bigscience/bloom", "... | Or4cl3-1/code-slerp | null | [
"merge",
"mergekit",
"lazymergekit",
"microsoft/codebert-base",
"EleutherAI/gpt-neo-x-20b",
"openai/codex",
"bigscience/bloom",
"google/jurassic-1-jumbo",
"google/t5-v1_1-large",
"facebook/bart-large",
"base_model:microsoft/codebert-base",
"base_model:EleutherAI/gpt-neo-x-20b",
"base_model:o... | null | 2024-04-06T08:36:54+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #microsoft/codebert-base #EleutherAI/gpt-neo-x-20b #openai/codex #bigscience/bloom #google/jurassic-1-jumbo #google/t5-v1_1-large #facebook/bart-large #base_model-microsoft/codebert-base #base_model-EleutherAI/gpt-neo-x-20b #base_model-openai/codex #base_model-bigscience/bloom #base_... |
# code-slerp
code-slerp is a merge of the following models using LazyMergekit:
* microsoft/codebert-base
* EleutherAI/gpt-neo-x-20b
* openai/codex
* bigscience/bloom
* google/jurassic-1-jumbo
* google/t5-v1_1-large
* facebook/bart-large
## Configuration
## Usage
| [
"# code-slerp\n\ncode-slerp is a merge of the following models using LazyMergekit:\n* microsoft/codebert-base\n* EleutherAI/gpt-neo-x-20b\n* openai/codex\n* bigscience/bloom\n* google/jurassic-1-jumbo\n* google/t5-v1_1-large\n* facebook/bart-large",
"## Configuration",
"## Usage"
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text-generation | transformers |
# Mistralmath-15B-pass
Mistralmath-15B-pass is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [AmeerH/Mistral-Math-2x7b-mix](https://huggingface.co/AmeerH/Mistral-Math-2x7b-mix)
* [AmeerH/Mistral-Math-2x7b-mix](https://hug... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "AmeerH/Mistral-Math-2x7b-mix"], "base_model": ["AmeerH/Mistral-Math-2x7b-mix", "AmeerH/Mistral-Math-2x7b-mix", "AmeerH/Mistral-Math-2x7b-mix", "AmeerH/Mistral-Math-2x7b-mix", "AmeerH/Mistral-Math-2x7b-mix"]} | allknowingroger/Mistralmath-15B-pass | null | [
"transformers",
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"mixtral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"AmeerH/Mistral-Math-2x7b-mix",
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"base_model:AmeerH/Mistral-Math-2x7b-mix",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
... | null | 2024-04-06T08:39:39+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #merge #mergekit #lazymergekit #AmeerH/Mistral-Math-2x7b-mix #conversational #base_model-AmeerH/Mistral-Math-2x7b-mix #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Mistralmath-15B-pass
Mistralmath-15B-pass is a merge of the following models using LazyMergekit:
* AmeerH/Mistral-Math-2x7b-mix
* AmeerH/Mistral-Math-2x7b-mix
* AmeerH/Mistral-Math-2x7b-mix
* AmeerH/Mistral-Math-2x7b-mix
* AmeerH/Mistral-Math-2x7b-mix
## Configuration
## Usage
| [
"# Mistralmath-15B-pass\n\nMistralmath-15B-pass is a merge of the following models using LazyMergekit:\n* AmeerH/Mistral-Math-2x7b-mix\n* AmeerH/Mistral-Math-2x7b-mix\n* AmeerH/Mistral-Math-2x7b-mix\n* AmeerH/Mistral-Math-2x7b-mix\n* AmeerH/Mistral-Math-2x7b-mix",
"## Configuration",
"## Usage"
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text-to-audio | 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. -->
# dutch_example
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on a... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "dutch_example", "results": []}]} | mikhail-panzo/dutch_example | null | [
"transformers",
"tensorboard",
"safetensors",
"speecht5",
"text-to-audio",
"generated_from_trainer",
"base_model:microsoft/speecht5_tts",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T08:40:33+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us
| dutch\_example
==============
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4487
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: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jambroz/sixtyoneeighty-4x7B-v2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "Open-Orca/Mistral-7B-OpenOrca", "NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story", "S-miguel/The-Trinity-Coder-7B", "chihoonlee10/T3Q-Mistral-Orca-Math-DPO"], "base_model":... | mradermacher/sixtyoneeighty-4x7B-v2-GGUF | null | [
"transformers",
"gguf",
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"frankenmoe",
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"S-miguel/The-Trinity-Coder-7B",
"chihoonlee10/T3Q-Mistral-Orca-Math-DPO",
"en",
"base_model:jambroz/sixtyoneeighty-4x7B-v2"... | null | 2024-04-06T08:43:13+00:00 | [] | [
"en"
] | TAGS
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-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #moe #frankenmoe #merge #mergekit #lazymergekit #Open-Orca/Mistral-7B-OpenOrca #NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story #S-miguel/The-Trinity-Coder-7B #chihoonlee10/T3Q-Mistral-Orca-Math-DPO #en #base_model-jambroz/sixtyoneeighty-4x7B-v2 #license-apache-2.0 #endpoints_compatible... | [
137
] | [
"TAGS\n#transformers #gguf #moe #frankenmoe #merge #mergekit #lazymergekit #Open-Orca/Mistral-7B-OpenOrca #NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story #S-miguel/The-Trinity-Coder-7B #chihoonlee10/T3Q-Mistral-Orca-Math-DPO #en #base_model-jambroz/sixtyoneeighty-4x7B-v2 #license-apache-2.0 #endpoints_compatible... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Qwen/Qwen1.5-32B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Qwen1.5-32B-GGUF
## Usag... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["pretrained"], "base_model": "Qwen/Qwen1.5-32B", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "license_name": "tongyi-qianwen-research", "quantized_by": "mradermacher"} | mradermacher/Qwen1.5-32B-i1-GGUF | null | [
"transformers",
"gguf",
"pretrained",
"en",
"base_model:Qwen/Qwen1.5-32B",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T08:44:38+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #pretrained #en #base_model-Qwen/Qwen1.5-32B #license-other #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 #pretrained #en #base_model-Qwen/Qwen1.5-32B #license-other #endpoints_compatible #region-us \n"
] | [
42
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"TAGS\n#transformers #gguf #pretrained #en #base_model-Qwen/Qwen1.5-32B #license-other #endpoints_compatible #region-us \n"
] |
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"} | nuratamton/test3 | null | [
"peft",
"pytorch",
"safetensors",
"mistral",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"4-bit",
"region:us"
] | null | 2024-04-06T08:48:35+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]:
#... | [
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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": []} | mou3az/End | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T08:50:39+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",
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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. -->
# train_2024-04-06-14-50-00
This model is a fine-tuned version of [Qwen/Qwen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B) on... | {"license": "other", "tags": ["llama-factory", "full", "generated_from_trainer"], "base_model": "Qwen/Qwen1.5-1.8B", "model-index": [{"name": "train_2024-04-06-14-50-00", "results": []}]} | Tsumugii/Sunsimiao-Qwen1.5-1.8B-full-2.0 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"base_model:Qwen/Qwen1.5-1.8B",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-06T08:51:18+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #llama-factory #full #generated_from_trainer #conversational #base_model-Qwen/Qwen1.5-1.8B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# train_2024-04-06-14-50-00
This model is a fine-tuned version of Qwen/Qwen1.5-1.8B on the CMB_answer_merge, the belle_0.5M_random_122320 and the HuatuoGPT2_sft_instruct_GPT4 datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation... | [
"# train_2024-04-06-14-50-00\n\nThis model is a fine-tuned version of Qwen/Qwen1.5-1.8B on the CMB_answer_merge, the belle_0.5M_random_122320 and the HuatuoGPT2_sft_instruct_GPT4 datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Tra... | [
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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": "google/flan-t5-xl"} | HeydarS/flant5_xl_EQ_peft_v2 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/flan-t5-xl",
"region:us"
] | null | 2024-04-06T08:51:35+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-google/flan-t5-xl #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]:
#... | [
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text-generation | transformers | "_name_or_path": "/data/yyh/model/models--meta-llama--Llama-2-7b-hf",
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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. -->
# 0.0_dataup_4iters_iter_4
This model is a fine-tuned version of [ShenaoZ/0.0_dataup_4iters_iter_3](https://huggingface.co/ShenaoZ... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ShenaoZ/0.0_dataup_4iters_dataset"], "base_model": "ShenaoZ/0.0_dataup_4iters_iter_3", "model-index": [{"name": "0.0_dataup_4iters_iter_4", "results": []}]} | ShenaoZ/0.0_dataup_4iters_iter_4 | null | [
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|
# 0.0_dataup_4iters_iter_4
This model is a fine-tuned version of ShenaoZ/0.0_dataup_4iters_iter_3 on the ShenaoZ/0.0_dataup_4iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tr... | [
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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. -->
# long-t5-local-base-finetuned-justification-v04
This model is a fine-tuned version of [google/long-t5-local-base](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/long-t5-local-base", "model-index": [{"name": "long-t5-local-base-finetuned-justification-v04", "results": []}]} | satyanshu404/long-t5-local-base-finetuned-justification-v04 | null | [
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| long-t5-local-base-finetuned-justification-v04
==============================================
This model is a fine-tuned version of google/long-t5-local-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1250
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-07\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 100",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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text-generation | transformers | # Mixtral_2x300m_dummy
This is a small mixtral model.
Only a few training is finished, so this model is not useful. Use with Caution.
# Warning
Tokenizer not uploaded!!! | {} | OsakanaTeishoku/mixtral_2x300m_dummy | null | [
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This is a small mixtral model.
Only a few training is finished, so this model is not useful. Use with Caution.
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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_idpo_same_replacechosen_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_same_replacechosen_iter_2](ht... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_idpo_same_replacechosen_iter_2", "model-index": [{"name": "0.001_idpo_same_replacechosen_iter_3", "results": []}]} | ShenaoZhang/0.001_idpo_same_replacechosen_iter_3 | null | [
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|
# 0.001_idpo_same_replacechosen_iter_3
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_same_replacechosen_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More infor... | [
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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": []} | existence-master/bloomify-suggestion-gemma2b-lora-0.6k | null | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-generation | transformers |
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text-generation | transformers |
# Model Card for SkillTree Enhanced Model
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
This model has been enhanced using the SkillTree approach, which applies specific skills extracted from advanced training or fine-tuning processes to improve the model's capabilities in targeted ar... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["SkillEnhanced", "mistral"]} | HachiML/Swallow-MS-7b-v0.1-ChatMathSkill | null | [
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# Model Card for SkillTree Enhanced Model
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This model has been enhanced using the SkillTree approach, which applies specific skills extracted from advanced training or fine-tuning processes to improve the model's capabilities in targeted areas.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opt-125m-boolq
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the GLUE B... | {"language": ["en"], "license": "other", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "facebook/opt-125m", "model-index": [{"name": "opt-125m-boolq", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE BOOLQ",... | Cheng98/opt-125m-boolq | null | [
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# opt-125m-boolq
This model is a fine-tuned version of facebook/opt-125m on the GLUE BOOLQ dataset.
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- Loss: 2.0177
- Accuracy: 0.6905
## Model description
More information needed
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More information needed
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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": []} | MAsad789565/gemma-Casual-2bit_v2 | null | [
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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. -->
# opt-350m-boolq
This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the GLUE B... | {"language": ["en"], "license": "other", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "facebook/opt-350m", "model-index": [{"name": "opt-350m-boolq", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE BOOLQ",... | Cheng98/opt-350m-boolq | null | [
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# opt-350m-boolq
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More information needed
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image-classification | mlx-image | # vit_small_patch8_224.dino
A [Vision Transformer](https://arxiv.org/abs/2010.11929v2) image classification model trained on ImageNet-1k dataset with [DINO](https://arxiv.org/abs/2104.14294).
The model was trained in self-supervised fashion on ImageNet-1k dataset. No classification head was trained, only the backbone... | {"license": "apache-2.0", "library_name": "mlx-image", "tags": ["mlx", "mlx-image", "vision", "image-classification"], "datasets": ["imagenet-1k"]} | mlx-vision/vit_small_patch8_224.dino-mlxim | null | [
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A Vision Transformer image classification model trained on ImageNet-1k dataset with DINO.
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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": []} | Data-Lab/multilingual-e5-base_censor_v0.2 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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image-classification | mlx-image | # vit_small_patch14_518.dinov2
A [Vision Transformer](https://arxiv.org/abs/2010.11929v2) image classification model trained on ImageNet-1k dataset with [DINOv2](https://arxiv.org/abs/2304.07193).
The model was trained in self-supervised fashion on ImageNet-1k dataset. No classification head was trained, only the bac... | {"license": "apache-2.0", "library_name": "mlx-image", "tags": ["mlx", "mlx-image", "vision", "image-classification"], "datasets": ["imagenet-1k"]} | mlx-vision/vit_small_patch14_518.dinov2-mlxim | null | [
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A Vision Transformer image classification model trained on ImageNet-1k dataset with DINOv2.
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null | null |
# SourPineapple/EEVE-Korean-Instruct-10.8B-v1.0-Q5_K_M-GGUF
This model was converted to GGUF format from [`yanolja/EEVE-Korean-Instruct-10.8B-v1.0`](https://huggingface.co/yanolja/EEVE-Korean-Instruct-10.8B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) spac... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "yanolja/EEVE-Korean-10.8B-v1.0", "model-index": [{"name": "yanolja/EEVE-Korean-Instruct-10.8B-v1.0", "results": []}]} | SourPineapple/EEVE-Korean-Instruct-10.8B-v1.0-Q5_K_M-GGUF | null | [
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|
# SourPineapple/EEVE-Korean-Instruct-10.8B-v1.0-Q5_K_M-GGUF
This model was converted to GGUF format from 'yanolja/EEVE-Korean-Instruct-10.8B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL serv... | [
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image-classification | mlx-image | # vit_base_patch8_224.dino
A [Vision Transformer](https://arxiv.org/abs/2010.11929v2) image classification model trained on ImageNet-1k dataset with [DINO](https://arxiv.org/abs/2104.14294).
The model was trained in self-supervised fashion on ImageNet-1k dataset. No classification head was trained, only the backbone.... | {"license": "apache-2.0", "library_name": "mlx-image", "tags": ["mlx", "mlx-image", "vision", "image-classification"], "datasets": ["imagenet-1k"]} | mlx-vision/vit_base_patch8_224.dino-mlxim | null | [
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| # vit_base_patch8_224.dino
A Vision Transformer image classification model trained on ImageNet-1k dataset with DINO.
The model was trained in self-supervised fashion on ImageNet-1k dataset. No classification head was trained, only the backbone.
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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": "google/flan-t5-small"} | HeydarS/flant5_sm_popQA_peft_v5 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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image-classification | mlx-image | # vit_base_patch16_224.dino
A [Vision Transformer](https://arxiv.org/abs/2010.11929v2) image classification model trained on ImageNet-1k dataset with [DINO](https://arxiv.org/abs/2104.14294).
The model was trained in self-supervised fashion on ImageNet-1k dataset. No classification head was trained, only the backbone... | {"license": "apache-2.0", "library_name": "mlx-image", "tags": ["mlx", "mlx-image", "vision", "image-classification"], "datasets": ["imagenet-1k"]} | mlx-vision/vit_base_patch16_224.dino-mlxim | null | [
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| # vit_base_patch16_224.dino
A Vision Transformer image classification model trained on ImageNet-1k dataset with DINO.
The model was trained in self-supervised fashion on ImageNet-1k dataset. No classification head was trained, only the backbone.
Disclaimer: This is a porting of the torch model weights to Apple MLX F... | [
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text-generation | transformers |
# arcee-ai/Mistral-7B-Instruct-v0.2-expanded-sec-1.6B-tokens
This model was trained for a single epoch with 1.6B SEC data in Llama-pro style
### Model Description
We only trained the newly add... | {"library_name": "transformers", "tags": ["mergekit"], "datasets": ["arcee-ai/sec-data-full"]} | arcee-ai/Mistral-7B-Instruct-v0.2-expanded-sec-1.6B-tokens | null | [
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|
!image/png
# arcee-ai/Mistral-7B-Instruct-v0.2-expanded-sec-1.6B-tokens
This model was trained for a single epoch with 1.6B SEC data in Llama-pro style
### Model Description
We only trained the newly added blocks as in the Llama pro paper while keeping every other layer frozen.
- Finetuned from model: arcee-... | [
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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. -->
# opt-125m-mnli
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the GLUE MN... | {"language": ["en"], "license": "other", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "facebook/opt-125m", "model-index": [{"name": "opt-125m-mnli", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE MNLI", "... | Cheng98/opt-125m-mnli | null | [
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# opt-125m-mnli
This model is a fine-tuned version of facebook/opt-125m on the GLUE MNLI dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2735
- Accuracy: 0.8217
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalua... | [
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image-classification | mlx-image | # vit_small_patch16_224.dino
A [Vision Transformer](https://arxiv.org/abs/2010.11929v2) image classification model trained on ImageNet-1k dataset with [DINO](https://arxiv.org/abs/2104.14294).
The model was trained in self-supervised fashion on ImageNet-1k dataset. No classification head was trained, only the backbon... | {"license": "apache-2.0", "library_name": "mlx-image", "tags": ["mlx", "mlx-image", "vision", "image-classification"], "datasets": ["imagenet-1k"]} | mlx-vision/vit_small_patch16_224.dino-mlxim | null | [
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| # vit_small_patch16_224.dino
A Vision Transformer image classification model trained on ImageNet-1k dataset with DINO.
The model was trained in self-supervised fashion on ImageNet-1k dataset. No classification head was trained, only the backbone.
Disclaimer: This is a porting of the torch model weights to Apple MLX ... | [
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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_optm_idpo_4iters_iter_1
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_4iters_iter_1](https://huggingface.c... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_idpo_4iters_iter_1", "model-index": [{"name": "0.001_optm_idpo_4iters_iter_1", "results": []}]} | ShenaoZhang/0.001_optm_idpo_4iters_iter_1 | null | [
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|
# 0.001_optm_idpo_4iters_iter_1
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_4iters_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## T... | [
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image-classification | mlx-image | # vit_base_patch14_518.dinov2
A [Vision Transformer](https://arxiv.org/abs/2010.11929v2) image classification model trained on ImageNet-1k dataset with [DINOv2](https://arxiv.org/abs/2304.07193).
The model was trained in self-supervised fashion on ImageNet-1k dataset. No classification head was trained, only the back... | {"license": "apache-2.0", "library_name": "mlx-image", "tags": ["mlx", "mlx-image", "vision", "image-classification"], "datasets": ["imagenet-1k"]} | mlx-vision/vit_base_patch14_518.dinov2-mlxim | null | [
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| # vit_base_patch14_518.dinov2
A Vision Transformer image classification model trained on ImageNet-1k dataset with DINOv2.
The model was trained in self-supervised fashion on ImageNet-1k dataset. No classification head was trained, only the backbone.
Disclaimer: This is a porting of the torch model weights to Apple M... | [
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image-classification | mlx-image | # vit_large_patch14_518.dinov2
A [Vision Transformer](https://arxiv.org/abs/2010.11929v2) image classification model trained on ImageNet-1k dataset with [DINOv2](https://arxiv.org/abs/2304.07193).
The model was trained in self-supervised fashion on ImageNet-1k dataset. No classification head was trained, only the bac... | {"license": "apache-2.0", "library_name": "mlx-image", "tags": ["mlx", "mlx-image", "vision", "image-classification"], "datasets": ["imagenet-1k"]} | mlx-vision/vit_large_patch14_518.dinov2-mlxim | null | [
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| # vit_large_patch14_518.dinov2
A Vision Transformer image classification model trained on ImageNet-1k dataset with DINOv2.
The model was trained in self-supervised fashion on ImageNet-1k dataset. No classification head was trained, only the backbone.
Disclaimer: This is a porting of the torch model weights to Apple ... | [
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text-generation | transformers |
# munish0838/Mistral-7B-OpenOrca-Q4_K_M-GGUF
This model was converted to GGUF format from [`Open-Orca/Mistral-7B-OpenOrca`](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) 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 car... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Open-Orca/OpenOrca"], "pipeline_tag": "text-generation"} | munish0838/Mistral-7B-OpenOrca-Q4_K_M-GGUF | null | [
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|
# munish0838/Mistral-7B-OpenOrca-Q4_K_M-GGUF
This model was converted to GGUF format from 'Open-Orca/Mistral-7B-OpenOrca' 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:
S... | [
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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": []} | kenchiayy/wav2vec2-xls-r-1b-atcosim_corpus-google-colab | null | [
"transformers",
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
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# 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",
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text-generation | transformers |
# munish0838/Mistral-7B-OpenOrca-Q8_0-GGUF
This model was converted to GGUF format from [`Open-Orca/Mistral-7B-OpenOrca`](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) 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]... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Open-Orca/OpenOrca"], "pipeline_tag": "text-generation"} | munish0838/Mistral-7B-OpenOrca-Q8_0-GGUF | null | [
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"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T09:33:27+00:00 | [] | [
"en"
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#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #en #dataset-Open-Orca/OpenOrca #license-apache-2.0 #endpoints_compatible #region-us
|
# munish0838/Mistral-7B-OpenOrca-Q8_0-GGUF
This model was converted to GGUF format from 'Open-Orca/Mistral-7B-OpenOrca' 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:
Ser... | [
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"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the C... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Qwen/Qwen1.5-32B-Chat
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen1.5-32B-Chat-i1... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["chat"], "base_model": "Qwen/Qwen1.5-32B-Chat", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat/blob/main/LICENSE", "license_name": "tongyi-qianwen", "quantized_by": "mradermacher"} | mradermacher/Qwen1.5-32B-Chat-GGUF | null | [
"transformers",
"gguf",
"chat",
"en",
"base_model:Qwen/Qwen1.5-32B-Chat",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T09:33:27+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #chat #en #base_model-Qwen/Qwen1.5-32B-Chat #license-other #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 #chat #en #base_model-Qwen/Qwen1.5-32B-Chat #license-other #endpoints_compatible #region-us \n"
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"TAGS\n#transformers #gguf #chat #en #base_model-Qwen/Qwen1.5-32B-Chat #license-other #endpoints_compatible #region-us \n"
] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jambroz/sixtyoneeighty-7b-dpo
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["conversational"], "datasets": ["Intel/orca_dpo_pairs"], "base_model": "jambroz/sixtyoneeighty-7b-dpo", "quantized_by": "mradermacher"} | mradermacher/sixtyoneeighty-7b-dpo-GGUF | null | [
"transformers",
"gguf",
"conversational",
"en",
"dataset:Intel/orca_dpo_pairs",
"base_model:jambroz/sixtyoneeighty-7b-dpo",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T09:33:46+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #conversational #en #dataset-Intel/orca_dpo_pairs #base_model-jambroz/sixtyoneeighty-7b-dpo #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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-base-rte
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the GLUE RTE da... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-base-rte", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE RTE",... | Cheng98/bert-base-rte | null | [
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"bert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"base_model:bert-base-cased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T09:34:24+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #en #dataset-glue #base_model-bert-base-cased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
|
# bert-base-rte
This model is a fine-tuned version of bert-base-cased on the GLUE RTE dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1771
- Accuracy: 0.6715
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluatio... | [
"# bert-base-rte\n\nThis model is a fine-tuned version of bert-base-cased on the GLUE RTE dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 1.1771\n- Accuracy: 0.6715",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"##... | [
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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": []} | hibikaze/gpt_0.084B_wiki-en-ja-2b_65k_step7751_openassistant | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-06T09:34:52+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #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... | [
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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. -->
# opt-350m-mnli
This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the GLUE MN... | {"language": ["en"], "license": "other", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "facebook/opt-350m", "model-index": [{"name": "opt-350m-mnli", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE MNLI", "... | Cheng98/opt-350m-mnli | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-06T09:36:08+00:00 | [] | [
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#transformers #pytorch #opt #text-classification #generated_from_trainer #en #dataset-glue #base_model-facebook/opt-350m #license-other #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# opt-350m-mnli
This model is a fine-tuned version of facebook/opt-350m on the GLUE MNLI dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2648
- Accuracy: 0.8307
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalua... | [
"# opt-350m-mnli\n\nThis model is a fine-tuned version of facebook/opt-350m on the GLUE MNLI dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 1.2648\n- Accuracy: 0.8307",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
... | [
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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-large-qqp
This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the GLUE QQP... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy", "f1"], "base_model": "bert-large-cased", "model-index": [{"name": "bert-large-qqp", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GL... | Cheng98/bert-large-qqp | null | [
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"generated_from_trainer",
"en",
"dataset:glue",
"base_model:bert-large-cased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T09:37:12+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #en #dataset-glue #base_model-bert-large-cased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
|
# bert-large-qqp
This model is a fine-tuned version of bert-large-cased on the GLUE QQP dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4196
- Accuracy: 0.9133
- F1: 0.8826
- Combined Score: 0.8979
## Model description
More information needed
## Intended uses & limitations
More infor... | [
"# bert-large-qqp\n\nThis model is a fine-tuned version of bert-large-cased on the GLUE QQP dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.4196\n- Accuracy: 0.9133\n- F1: 0.8826\n- Combined Score: 0.8979",
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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_idpo_same_replacechosen_only_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_same_replacechosen_only_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_idpo_same_replacechosen_only_iter_2", "model-index": [{"name": "0.001_idpo_same_replacechosen_only_iter_3", "results": []}]} | ShenaoZhang/0.001_idpo_same_replacechosen_only_iter_3 | null | [
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"base_model:ShenaoZhang/0.001_idpo_same_replacechosen_only_iter_2",
"license:mit",
"autotrain_compatible",
"... | null | 2024-04-06T09:40:50+00:00 | [] | [] | TAGS
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# 0.001_idpo_same_replacechosen_only_iter_3
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_same_replacechosen_only_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
... | [
"# 0.001_idpo_same_replacechosen_only_iter_3\n\nThis model is a fine-tuned version of ShenaoZhang/0.001_idpo_same_replacechosen_only_iter_2 on the updated and the original datasets.",
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text-generation | transformers | "_name_or_path": "/data/yyh/model/models--meta-llama--Llama-2-7b-hf",
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"intermediate_size": 110... | {"license": "apache-2.0", "pipeline_tag": "text-generation"} | yyh0901/lloma_step200 | null | [
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] | null | 2024-04-06T09:42:19+00:00 | [] | [] | TAGS
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null | null | # These are the models required for running OFFLINE Translation
You can either download all the files or just the files that you need.
Please make sure it is in a format like ./Helsinki-NLP/XXX | {} | TroyHow/Helsinki-NLP | null | [
"region:us"
] | null | 2024-04-06T09:43:27+00:00 | [] | [] | TAGS
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You can either download all the files or just the files that you need.
Please make sure it is in a format like ./Helsinki-NLP/XXX | [
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"TAGS\n#region-us \n# These are the models required for running OFFLINE Translation\n\nYou can either download all the files or just the files that you need. \n\nPlease make sure it is in a format like ./Helsinki-NLP/XXX"
] |
null | transformers |
# m0javad/dolly-v2-12b-Q8_0-GGUF
This model was converted to GGUF format from [`databricks/dolly-v2-12b`](https://huggingface.co/databricks/dolly-v2-12b) using llama.cpp via the ggml.ai's space.
Refer to the [original model card](https://huggingface.co/databricks/dolly-v2-12b) for more details on the model.
## Use wit... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["databricks/databricks-dolly-15k"], "inference": false} | m0javad/dolly-v2-12b-Q8_0-GGUF | null | [
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"en",
"dataset:databricks/databricks-dolly-15k",
"license:mit",
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] | null | 2024-04-06T09:44:41+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #en #dataset-databricks/databricks-dolly-15k #license-mit #region-us
|
# m0javad/dolly-v2-12b-Q8_0-GGUF
This model was converted to GGUF format from 'databricks/dolly-v2-12b' using URL via the URL's 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 can also us... | [
"# m0javad/dolly-v2-12b-Q8_0-GGUF\nThis model was converted to GGUF format from 'databricks/dolly-v2-12b' using URL via the URL's space.\nRefer to the original model card for more details on the model.",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jambroz/FNCARL-7b-dpo
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a ... | {"language": ["en"], "library_name": "transformers", "base_model": "jambroz/FNCARL-7b-dpo", "quantized_by": "mradermacher"} | mradermacher/FNCARL-7b-dpo-GGUF | null | [
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] | null | 2024-04-06T09:46:29+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-jambroz/FNCARL-7b-dpo #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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. -->
# mobile_mistral_2
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mobile_mistral_2", "results": []}]} | ShahlaDnshi96/mobile_mistral_2 | null | [
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"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-06T09:52:03+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mobile_mistral_2
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 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 hyperparame... | [
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"## Model description\n\nMore information needed",
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null | transformers |
# fivetech/gemma-1.1-7b-it-Q2_K-GGUF
This model was converted to GGUF format from [`google/gemma-1.1-7b-it`](https://huggingface.co/google/gemma-1.1-7b-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... | {"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... | fivetech/gemma-1.1-7b-it-Q2_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:gemma",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T09:57:17+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #license-gemma #endpoints_compatible #region-us
|
# fivetech/gemma-1.1-7b-it-Q2_K-GGUF
This model was converted to GGUF format from 'google/gemma-1.1-7b-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:... | [
"# fivetech/gemma-1.1-7b-it-Q2_K-GGUF\nThis model was converted to GGUF format from 'google/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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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": []} | ntvcie/gemma_Vinh_test_07 | null | [
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"arxiv:1910.09700",
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#transformers #safetensors #gemma #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... | [
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summarization | 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. -->
# mt5_new
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
I... | {"license": "apache-2.0", "tags": ["summarization", "generated_from_trainer"], "base_model": "google/mt5-small", "model-index": [{"name": "mt5_new", "results": []}]} | october-sd/mt5_new | null | [
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"tensorboard",
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"mt5",
"text2text-generation",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
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| mt5\_new
========
This model is a fine-tuned version of google/mt5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3753
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: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsil... | [
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text-generation | transformers |
# RecurrentGemma Model Card
**Model Page**: [RecurrentGemma]( https://ai.google.dev/gemma/docs/recurrentgemma/model_card)
This model card corresponds to the 2B base version of the RecurrentGemma model. You can also visit the model card of the [2B instruct model](https://huggingface.co/google/recurrentgemma-2b-it).
... | {"license": "gemma", "library_name": "transformers", "extra_gated_heading": "Access RecurrentGemma on Hugging Face", "extra_gated_prompt": "To access RecurrentGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face a... | google/recurrentgemma-2b | null | [
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=========================
Model Page: RecurrentGemma
This model card corresponds to the 2B base version of the RecurrentGemma model. You can also visit the model card of the 2B instruct model.
Resources and technical documentation:
* Responsible Generative AI Toolkit
* RecurrentGemma o... | [
"### Running the model on a single / multi GPU\n\n\nModel information\n-----------------",
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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": "google/flan-t5-base"} | HeydarS/flant5_bs_popQA_peft_v6 | null | [
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|
# 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]:
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#... | [
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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": "meta-llama/Llama-2-7b-hf"} | SwimChoi/villama2-7b-Denmark-lora | null | [
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|
# 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]:
#... | [
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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]
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/hibana2077/Pioneer-2x7B
<!-- provided-files -->
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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# Model Card for Model ID
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# Model Card for Model ID
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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": "meta-llama/Llama-2-7b-hf"} | SwimChoi/villama2-7b-Kosovo-lora | null | [
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text-to-image | diffusers | # oft_Pony_Diffusion_V6
<Gallery />
## Model description
oft for Pony-Diffusion-V6-XL
## Trigger words
You should use `pixiv` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/crodis/oft_Pony_Diffusion_V6/tree/main) them in the Files & v... | {"license": "apache-2.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "score_9_up, score_8_up, score_7_up,1 girl, solo, sweater, skirt,<lora:style_1130223_T1:1>", "parameters": {"negative_prompt": "nsfw, lowres, bad anatomy, bad hands, text, error, missing... | crodis/oft_Pony_Diffusion_V6 | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stablediffusionapi/pony-diffusion-v6-xl #license-apache-2.0 #region-us
| # oft_Pony_Diffusion_V6
<Gallery />
## Model description
oft for Pony-Diffusion-V6-XL
## Trigger words
You should use 'pixiv' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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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. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-classification | transformers |
This model is finetuned to perform sentiment classification. | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["stanfordnlp/sst2", "gpt3mix/sst2"], "pipeline_tag": "text-classification"} | Duopero/distilbert-base-uncased-finetuned-2-sst2 | null | [
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text-generation | transformers |
# Calmesmol-7B-slerp
Calmesmol-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [MaziyarPanahi/Calme-7B-Instruct-v0.9](https://huggingface.co/MaziyarPanahi/Calme-7B-Instruct-v0.9)
* [rishiraj/smol-7b](https://hug... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "MaziyarPanahi/Calme-7B-Instruct-v0.9", "rishiraj/smol-7b"], "base_model": ["MaziyarPanahi/Calme-7B-Instruct-v0.9", "rishiraj/smol-7b"]} | allknowingroger/Calmesmol-7B-slerp | null | [
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# Calmesmol-7B-slerp
Calmesmol-7B-slerp is a merge of the following models using LazyMergekit:
* MaziyarPanahi/Calme-7B-Instruct-v0.9
* rishiraj/smol-7b
## Configuration
## Usage
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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": []} | existence-master/bloomify-suggestion-mistral7b-lora-0.6k | null | [
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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_idpo_same_nodpo_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_same_nodpo_iter_2](https://huggingfac... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_idpo_same_nodpo_iter_2", "model-index": [{"name": "0.001_idpo_same_nodpo_iter_3", "results": []}]} | ShenaoZhang/0.001_idpo_same_nodpo_iter_3 | null | [
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|
# 0.001_idpo_same_nodpo_iter_3
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_same_nodpo_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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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. -->
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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="kelvinho8/q-FrozenLake-v1-4x4-noSlippery-utopia", filename="q-learning.pkl")
# Don't forget to check if you need to add additiona... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery-utopia", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "... | kelvinho8/q-FrozenLake-v1-4x4-noSlippery-utopia | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-06T10:47:01+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
| [
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] | [
"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 ## Usage"
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"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 ## Usage"
] |
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. -->
# hb_111
This model is a fine-tuned version of [samhitmantrala/hb_2](https://huggingface.co/samhitmantrala/hb_2) on an unknown dat... | {"license": "afl-3.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "samhitmantrala/hb_2", "model-index": [{"name": "hb_111", "results": []}]} | Utkarsh03/hb_111 | null | [
"transformers",
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"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:samhitmantrala/hb_2",
"license:afl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T10:50:39+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-samhitmantrala/hb_2 #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us
| hb\_111
=======
This model is a fine-tuned version of samhitmantrala/hb\_2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0127
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
"### 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: 3",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-samhitmantrala/hb_2 #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning... | [
59,
101,
5,
44
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"TAGS\n#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-samhitmantrala/hb_2 #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rat... |
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"]} | hipa678/Testing-Models | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-06T10:51:58+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
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"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... |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": []}]} | aliciiavs/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
"transformers",
"tensorboard",
"safetensors",
"swin",
"image-classification",
"generated_from_trainer",
"base_model:microsoft/swin-tiny-patch4-window7-224",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T10:52:28+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3302
* Accuracy: 0.9148
Model description
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during tr... | [
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"TAGS\n#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training... |
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": ["trl", "sft"]} | kaushal-9714/Llama-2-7b-chat-finetune | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"trl",
"sft",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-06T10:52:31+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #trl #sft #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 #llama #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model tha... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/descartesevildemon/Wittgenbot-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "descartesevildemon/Wittgenbot-7B", "quantized_by": "mradermacher"} | mradermacher/Wittgenbot-7B-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:descartesevildemon/Wittgenbot-7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T10:54:34+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-descartesevildemon/Wittgenbot-7B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-descartesevildemon/Wittgenbot-7B #endpoints_compatible #region-us \n"
] | [
37
] | [
"TAGS\n#transformers #gguf #en #base_model-descartesevildemon/Wittgenbot-7B #endpoints_compatible #region-us \n"
] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-teacher-0.5k-10e
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/mic... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-teacher-0.5k-10e", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-teacher-0.5k-10e | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-04-06T10:55:50+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-teacher-0.5k-10e
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# phi-1_5-finetuned-aqua-rat-teacher-0.5k-10e\n\nThis model is a fine-tuned version of microsoft/phi-1_5 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",
"## T... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us \n",
"# phi-1_5-finetuned-aqua-rat-teacher-0.5k-10e\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.",
"## Model description\n\nMore information needed",
"## Inte... | [
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"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us \n# phi-1_5-finetuned-aqua-rat-teacher-0.5k-10e\n\nThis model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.## Model description\n\nMore information needed## Intended uses & limita... |
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