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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/NeverSleep/Noromaid-20b-v0.1.1
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Noromaid-2... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "NeverSleep/Noromaid-20b-v0.1.1", "quantized_by": "mradermacher"} | mradermacher/Noromaid-20b-v0.1.1-i1-GGUF | null | [
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"en"
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#transformers #gguf #en #base_model-NeverSleep/Noromaid-20b-v0.1.1 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "policy2", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PLE-v0"}, "metri... | AkiraHase/policy2 | null | [
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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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. -->
# my_awesome_gpt2_medium
This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-commun... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "openai-community/gpt2-medium", "model-index": [{"name": "my_awesome_gpt2_medium", "results": []}]} | jacklong0718/my_awesome_gpt2_medium | null | [
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|
# my_awesome_gpt2_medium
This model is a fine-tuned version of openai-community/gpt2-medium on the eli5_category dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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multiple-choice | 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": []} | Noboru-Ta/bert-base-japanese-v3-output_jcommonsenseqa | null | [
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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.
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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]:** ... | {"language": ["en", "fr", "it", "es"], "license": "apache-2.0", "library_name": "peft", "datasets": ["HiTZ/MedExpQA"], "metrics": ["accuracy"], "base_model": "mistralai/Mistral-7B-v0.1", "pipeline_tag": "text-generation"} | HiTZ/Mistral-7B-MedExpQA-EN | null | [
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text-generation | transformers |
<!-- header start -->
<p align="center">
<img src="https://i.imgur.com/mNM6Cai.png" width="100%" alt="Friendli Logo">
</p>
<!-- header end -->
# Mixtral-8x7B-v0.1 - FP8
- Model creator: [Mistral AI](https://huggingface.co/mistralai)
- Original model: [Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7... | {"license": "apache-2.0", "tags": ["pretrained"], "model_name": "mistralai/Mixtral-8x7B-v0.1", "base_model": "mistralai/Mixtral-8x7B-v0.1", "inference": false, "model_link": "https://huggingface.co/mistralai/Mixtral-8x7B-v0.1", "pipeline_tag": "text-generation", "quantized_by": "FriendliAI"} | FriendliAI/Mixtral-8x7B-v0.1-fp8 | null | [
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"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-26T07:35:06+00:00 | [] | [] | TAGS
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|
<p align="center">
<img src="https://i.URL width="100%" alt="Friendli Logo">
</p>
# Mixtral-8x7B-v0.1 - FP8
- Model creator: Mistral AI
- Original model: Mixtral-8x7B-v0.1
## Description
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.7.1
<Gallery />
## Model descrip... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "prompt": "a picture of [dm-matt-mercer], a dungeon master. backgr... | cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.7.1 | null | [
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"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
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|
# Critical Dream - cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.7.1
<Gallery />
## Model description
These are cosmicBboy/stable-diffusion-xl-base-1.0-lora-dreambooth-critdream-v0.7.1 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0, for the purposes of
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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. -->
# 4b_galore
This model is a fine-tuned version of [Qwen/Qwen1.5-4B](https://huggingface.co/Qwen/Qwen1.5-4B) on the universal_ner_a... | {"license": "other", "tags": ["llama-factory", "full", "generated_from_trainer"], "base_model": "Qwen/Qwen1.5-4B", "model-index": [{"name": "4b_galore", "results": []}]} | VGLee/qwen1.5-4b-universal_ner-galore | null | [
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|
# 4b_galore
This model is a fine-tuned version of Qwen/Qwen1.5-4B on the universal_ner_all dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
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... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | lightyip/ppo-SnowballTarget | null | [
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|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
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- A *short tuto... | [
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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. -->
# NDD-petclinic_test-content_tags
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NDD-petclinic_test-content_tags", "results": []}]} | lgk03/NDD-petclinic_test-content_tags | null | [
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"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T07:37:52+00:00 | [] | [] | TAGS
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| NDD-petclinic\_test-content\_tags
=================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2832
* Accuracy: 0.9394
* F1: 0.9326
* Precision: 0.9434
* Recall: 0.9394
Model description
--... | [
"### 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* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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": []} | EinsZwo/mlm_only_424_bertonly | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T07:37:56+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #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.
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- Funded by [optional]:
- Shared by [optional]:
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sentence-similarity | sentence-transformers |
# alixnaveed/NAMAZMODELV2
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... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | alixnaveed/NAMAZMODELV1 | null | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us",
"has_space"
] | null | 2024-04-26T07:38:10+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #xlm-roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us #has_space
|
# alixnaveed/NAMAZMODELV2
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:
The... | [
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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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"library_name": "peft", "tags": ["trl", "orpo", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "results", "results": []}]} | jasonkang14/results | null | [
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"trl",
"orpo",
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"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"region:us"
] | null | 2024-04-26T07:40:51+00:00 | [] | [] | TAGS
#peft #safetensors #trl #orpo #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #region-us
| <img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
results
=======
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0888
* Rewards/chosen: -0.0906
* Rewards/rejected: -0.1196... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ThomasComics/Phi-3-mini-128k-instruct-LLaMAfied
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time.... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["nlp", "code"], "base_model": "ThomasComics/Phi-3-mini-128k-instruct-LLaMAfied", "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "quantized_by": "mradermacher"} | mradermacher/Phi-3-mini-128k-instruct-LLaMAfied-GGUF | null | [
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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
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #nlp #code #en #base_model-ThomasComics/Phi-3-mini-128k-instruct-LLaMAfied #license-mit #endpoints_compatible #region-us \n"
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Yuma42/KangalKhan-Alpha-ExtraRawRubyroid-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed", "Yuma42/KangalKhan-RawRuby-7B"], "base_model": "Yuma42/KangalKhan-Alpha-ExtraRawRubyroid-7B", "quantized_by": "mradermacher"} | mradermacher/KangalKhan-Alpha-ExtraRawRubyroid-7B-GGUF | null | [
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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
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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... | liudoujiang/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-26T07:46:24+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... | [
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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": []} | kangXn/engu-tp1-mde | null | [
"transformers",
"safetensors",
"deberta-v2",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T07:48:29+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #deberta-v2 #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.
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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-turkish-300m-7
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["fleurs"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-turkish-300m-7", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"... | tgrhn/wav2vec2-turkish-300m-7 | null | [
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| wav2vec2-turkish-300m-7
=======================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the fleurs dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3236
* Wer: 0.1668
Model description
-----------------
More information needed
Intended uses & limitation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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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. -->
# my_awesome_gpt2
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on t... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "openai-community/gpt2", "model-index": [{"name": "my_awesome_gpt2", "results": []}]} | jacklong0718/my_awesome_gpt2 | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T07:49:11+00:00 | [] | [] | TAGS
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| my\_awesome\_gpt2
=================
This model is a fine-tuned version of openai-community/gpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5693
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: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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null | null |
# RachidAR/wiz-llama3-8B-Q6_K-GGUF
This model was converted to GGUF format from [`feeltheAGI/wiz-llama3-8B`](https://huggingface.co/feeltheAGI/wiz-llama3-8B) 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://huggingfa... | {"tags": ["llama-cpp", "gguf-my-repo"]} | RachidAR/wiz-llama3-8B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-26T07:49:19+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# RachidAR/wiz-llama3-8B-Q6_K-GGUF
This model was converted to GGUF format from 'feeltheAGI/wiz-llama3-8B' 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:... | [
"# RachidAR/wiz-llama3-8B-Q6_K-GGUF\nThis model was converted to GGUF format from 'feeltheAGI/wiz-llama3-8B' 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... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# RachidAR/wiz-llama3-8B-Q6_K-GGUF\nThis model was converted to GGUF format from 'feeltheAGI/wiz-llama3-8B' 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 throug... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# RachidAR/wiz-llama3-8B-Q6_K-GGUF\nThis model was converted to GGUF format from 'feeltheAGI/wiz-llama3-8B' 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\... |
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. -->
# chatbot
This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "bert-large-uncased", "model-index": [{"name": "chatbot", "results": []}]} | arzans9/chatbot | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-large-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T07:49:33+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-large-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| chatbot
=======
This model is a fine-tuned version of bert-large-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6024
* Accuracy: 0.8958
* F1: 0.8910
* Precision: 0.8846
* Recall: 0.9295
Model description
-----------------
More information needed
Intended uses... | [
"### 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: 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... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/SanjiWatsuki/Lelantos-Maid-DPO-7B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Lelanto... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "SanjiWatsuki/Lelantos-DPO-7B", "NeverSleep/Noromaid-7B-0.4-DPO"], "base_model": "SanjiWatsuki/Lelantos-Maid-DPO-7B", "quantized_by": "mradermacher"} | mradermacher/Lelantos-Maid-DPO-7B-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"SanjiWatsuki/Lelantos-DPO-7B",
"NeverSleep/Noromaid-7B-0.4-DPO",
"en",
"base_model:SanjiWatsuki/Lelantos-Maid-DPO-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T07:49:58+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #SanjiWatsuki/Lelantos-DPO-7B #NeverSleep/Noromaid-7B-0.4-DPO #en #base_model-SanjiWatsuki/Lelantos-Maid-DPO-7B #license-apache-2.0 #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 #merge #mergekit #lazymergekit #SanjiWatsuki/Lelantos-DPO-7B #NeverSleep/Noromaid-7B-0.4-DPO #en #base_model-SanjiWatsuki/Lelantos-Maid-DPO-7B #license-apache-2.0 #endpoints_compatible #region-us \n"
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] |
text-generation | null |
# RachidAR/Llama-3-8B-saiga-suzume-ties-Q6_K-GGUF
This model was converted to GGUF format from [`d0rj/Llama-3-8B-saiga-suzume-ties`](https://huggingface.co/d0rj/Llama-3-8B-saiga-suzume-ties) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origi... | {"language": ["ru", "en"], "license": "llama3", "tags": ["merge", "mergekit", "lazymergekit", "IlyaGusev/saiga_llama3_8b", "lightblue/suzume-llama-3-8B-multilingual", "llama-cpp", "gguf-my-repo"], "base_model": ["IlyaGusev/saiga_llama3_8b", "lightblue/suzume-llama-3-8B-multilingual"], "pipeline_tag": "text-generation"} | RachidAR/Llama-3-8B-saiga-suzume-ties-Q6_K-GGUF | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"IlyaGusev/saiga_llama3_8b",
"lightblue/suzume-llama-3-8B-multilingual",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"ru",
"en",
"base_model:IlyaGusev/saiga_llama3_8b",
"base_model:lightblue/suzume-llama-3-8B-multilingual",
"license:llama3",... | null | 2024-04-26T07:50:38+00:00 | [] | [
"ru",
"en"
] | TAGS
#gguf #merge #mergekit #lazymergekit #IlyaGusev/saiga_llama3_8b #lightblue/suzume-llama-3-8B-multilingual #llama-cpp #gguf-my-repo #text-generation #ru #en #base_model-IlyaGusev/saiga_llama3_8b #base_model-lightblue/suzume-llama-3-8B-multilingual #license-llama3 #region-us
|
# RachidAR/Llama-3-8B-saiga-suzume-ties-Q6_K-GGUF
This model was converted to GGUF format from 'd0rj/Llama-3-8B-saiga-suzume-ties' 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.
... | [
"# RachidAR/Llama-3-8B-saiga-suzume-ties-Q6_K-GGUF\nThis model was converted to GGUF format from 'd0rj/Llama-3-8B-saiga-suzume-ties' 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 serv... | [
"TAGS\n#gguf #merge #mergekit #lazymergekit #IlyaGusev/saiga_llama3_8b #lightblue/suzume-llama-3-8B-multilingual #llama-cpp #gguf-my-repo #text-generation #ru #en #base_model-IlyaGusev/saiga_llama3_8b #base_model-lightblue/suzume-llama-3-8B-multilingual #license-llama3 #region-us \n",
"# RachidAR/Llama-3-8B-saiga... | [
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null | null |
# RachidAR/saiga_llama3_8b-Q6_K-GGUF
This model was converted to GGUF format from [`IlyaGusev/saiga_llama3_8b`](https://huggingface.co/IlyaGusev/saiga_llama3_8b) 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://huggi... | {"language": ["ru"], "license": "other", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["IlyaGusev/saiga_scored"], "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/license/"} | RachidAR/saiga_llama3_8b-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"ru",
"dataset:IlyaGusev/saiga_scored",
"license:other",
"region:us"
] | null | 2024-04-26T07:52:56+00:00 | [] | [
"ru"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #ru #dataset-IlyaGusev/saiga_scored #license-other #region-us
|
# RachidAR/saiga_llama3_8b-Q6_K-GGUF
This model was converted to GGUF format from 'IlyaGusev/saiga_llama3_8b' 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:
No... | [
"# RachidAR/saiga_llama3_8b-Q6_K-GGUF\nThis model was converted to GGUF format from 'IlyaGusev/saiga_llama3_8b' 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... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #ru #dataset-IlyaGusev/saiga_scored #license-other #region-us \n",
"# RachidAR/saiga_llama3_8b-Q6_K-GGUF\nThis model was converted to GGUF format from 'IlyaGusev/saiga_llama3_8b' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #ru #dataset-IlyaGusev/saiga_scored #license-other #region-us \n# RachidAR/saiga_llama3_8b-Q6_K-GGUF\nThis model was converted to GGUF format from 'IlyaGusev/saiga_llama3_8b' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the m... |
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": []} | zandfj/LLaMA2-7B-Chat-sft-042615-moren | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T07:53:13+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... | [
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null | transformers |
# RachidAR/llama-3-indotuned-v0-Q6_K-GGUF
This model was converted to GGUF format from [`NekoFi/llama-3-indotuned-v0`](https://huggingface.co/NekoFi/llama-3-indotuned-v0) 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](http... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft", "llama-cpp", "gguf-my-repo"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | RachidAR/llama-3-indotuned-v0-Q6_K-GGUF | null | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"sft",
"llama-cpp",
"gguf-my-repo",
"en",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T07:54:20+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #llama #trl #sft #llama-cpp #gguf-my-repo #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# RachidAR/llama-3-indotuned-v0-Q6_K-GGUF
This model was converted to GGUF format from 'NekoFi/llama-3-indotuned-v0' 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... | [
"# RachidAR/llama-3-indotuned-v0-Q6_K-GGUF\nThis model was converted to GGUF format from 'NekoFi/llama-3-indotuned-v0' 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.... | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #llama #trl #sft #llama-cpp #gguf-my-repo #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# RachidAR/llama-3-indotuned-v0-Q6_K-GGUF\nThis model was converted to GGUF format from 'NekoFi/llama-3-in... | [
82,
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"TAGS\n#transformers #gguf #text-generation-inference #unsloth #llama #trl #sft #llama-cpp #gguf-my-repo #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# RachidAR/llama-3-indotuned-v0-Q6_K-GGUF\nThis model was converted to GGUF format from 'NekoFi/llama-3-indotune... |
null | transformers |
# RachidAR/Waktaverse-Llama-3-KO-8B-Instruct-Q6_K-GGUF
This model was converted to GGUF format from [`PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct`](https://huggingface.co/PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-r... | {"language": ["ko", "en"], "license": "mit", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["MarkrAI/KoCommercial-Dataset"]} | RachidAR/Waktaverse-Llama-3-KO-8B-Instruct-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"ko",
"en",
"dataset:MarkrAI/KoCommercial-Dataset",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T07:55:36+00:00 | [] | [
"ko",
"en"
] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #ko #en #dataset-MarkrAI/KoCommercial-Dataset #license-mit #endpoints_compatible #region-us
|
# RachidAR/Waktaverse-Llama-3-KO-8B-Instruct-Q6_K-GGUF
This model was converted to GGUF format from 'PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct' 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 se... | [
"# RachidAR/Waktaverse-Llama-3-KO-8B-Instruct-Q6_K-GGUF\nThis model was converted to GGUF format from 'PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct' 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\nI... | [
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"# RachidAR/Waktaverse-Llama-3-KO-8B-Instruct-Q6_K-GGUF\nThis model was converted to GGUF format from 'PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct' using URL via ... | [
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"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #ko #en #dataset-MarkrAI/KoCommercial-Dataset #license-mit #endpoints_compatible #region-us \n# RachidAR/Waktaverse-Llama-3-KO-8B-Instruct-Q6_K-GGUF\nThis model was converted to GGUF format from 'PathFinderKR/Waktaverse-Llama-3-KO-8B-Instruct' using URL via the UR... |
text-generation | transformers |
# EverythingBagel-DPO-7B
EverythingBagel-DPO-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [jondurbin/bagel-dpo-7b-v0.5](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.5)
* [SanjiWatsuki/Silicon-Maid-7B](https:/... | {"tags": ["merge", "mergekit", "lazymergekit", "jondurbin/bagel-dpo-7b-v0.5", "SanjiWatsuki/Silicon-Maid-7B"], "base_model": ["jondurbin/bagel-dpo-7b-v0.5", "SanjiWatsuki/Silicon-Maid-7B"]} | OmnicromsBrain/EverythingBagel-DPO-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"jondurbin/bagel-dpo-7b-v0.5",
"SanjiWatsuki/Silicon-Maid-7B",
"conversational",
"base_model:jondurbin/bagel-dpo-7b-v0.5",
"base_model:SanjiWatsuki/Silicon-Maid-7B",
"autotrain_compatible",
"e... | null | 2024-04-26T07:55:53+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #jondurbin/bagel-dpo-7b-v0.5 #SanjiWatsuki/Silicon-Maid-7B #conversational #base_model-jondurbin/bagel-dpo-7b-v0.5 #base_model-SanjiWatsuki/Silicon-Maid-7B #autotrain_compatible #endpoints_compatible #text-generation-inference #reg... |
# EverythingBagel-DPO-7B
EverythingBagel-DPO-7B is a merge of the following models using LazyMergekit:
* jondurbin/bagel-dpo-7b-v0.5
* SanjiWatsuki/Silicon-Maid-7B
## Configuration
## Usage
| [
"# EverythingBagel-DPO-7B\n\n\n\nEverythingBagel-DPO-7B is a merge of the following models using LazyMergekit:\n* jondurbin/bagel-dpo-7b-v0.5\n* SanjiWatsuki/Silicon-Maid-7B",
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"## Usage"
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "beomi/Llama-3-Open-Ko-8B", "model-index": [{"name": "beomi-llama3-8b-64k", "results": []}]} | sosoai/hansoldeco-beomi-llama3-open-ko-8b-64k-test | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
beomi-llama3-8b-64k
===================
This model is a fine-tuned version of beomi/Llama-3-Open-Ko-8B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9960
M... | [
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text-generation | transformers | <!-- header start -->
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null | null |
# Experimental Chess Model (Causal)
## Overview
This model is an experimental fine-tuned variant designed for **causal inference** on a very small subset of chess games. It leverages the base model obtained from Microsoft(phi-3-mini-4k-instruct) and has been fine-tuned using **Hugging Face Transformers** with the **A... | {"language": ["en"], "license": "mit", "tags": ["game", "experimetal", "chess"], "datasets": ["bhuvanmdev/chess-causal-formatted"]} | bhuvanmdev/phi3-7b-chess-beta | null | [
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# Experimental Chess Model (Causal)
## Overview
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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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# Model Card for Model ID
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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 |
<!-- 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. -->
# test-sft
This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7... | {"license": "llama2", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "codellama/CodeLlama-7b-Instruct-hf", "model-index": [{"name": "test-sft", "results": []}]} | YDTsai/test-sft | null | [
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|
# test-sft
This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama 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/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dbands/llama-3-8b-instruct_databricks-dolly-15k_lora_model | null | [
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|
# Uploaded model
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text-generation | transformers |
This is an EXL2 quant made with [exllamav2](https://github.com/turboderp/exllamav2) at 8.0bpw
<img src="https://cdn-uploads.huggingface.co/production/uploads/655bb613e8a8971e89944f3e/TSa3V8YpoVagnTYgxiLaO.png" width="200"/>
# Llama-3 8B Instruct 262k
Gradient incorporates your data to deploy autonomous assistants th... | {"language": ["en"], "tags": ["meta", "llama-3"], "pipeline_tag": "text-generation"} | bullerwins/gradientai_Llama-3-8B-Instruct-262k_exl2_8.0bpw | null | [
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| This is an EXL2 quant made with exllamav2 at 8.0bpw
<img src="URL width="200"/>
Llama-3 8B Instruct 262k
========================
Gradient incorporates your data to deploy autonomous assistants that power critical operations across your business. To learn more or collaborate on a custom model, drop us a message a... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama 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/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dbands/llama-3-8b-instruct_databricks-dolly-15k_16bit | 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. -->
# results
This model is a fine-tuned version of [aubmindlab/bert-base-arabert](https://huggingface.co/aubmindlab/bert-base-arabert... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "aubmindlab/bert-base-arabert", "model-index": [{"name": "results", "results": []}]} | GeorgeIbrahim/AraBERT-MADAR | null | [
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| results
=======
This model is a fine-tuned version of aubmindlab/bert-base-arabert on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4485
* Accuracy: 0.7656
* Precision: 0.7688
* Recall: 0.7656
* F1: 0.7650
* Mrr: 0.8440
Model description
-----------------
More information ... | [
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object-detection | 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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "SenseTime/deformable-detr", "model-index": [{"name": "sensetime-deformable-detr-finetuned-10k-cppe5-manual-pad", "results": []}]} | qubvel-hf/sensetime-deformable-detr-finetuned-10k-cppe5-manual-pad | null | [
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|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# sensetime-deformable-detr-finetuned-10k-cppe5-manual-pad
This model is a fine-tuned version of SenseTime/deformable-detr on the cppe-5 dataset.
## Model description
More information needed
## Intended uses & limitations
More informati... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore infor... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama 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/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dbands/llama-3-8b-instruct_databricks-dolly-15k_4bit | null | [
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|
# Uploaded model
- Developed by: dbands
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | laitrongduc/zephyr-7B-alpha-customer-chatbot | null | [
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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.
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- Shared by [optional]:
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- License... | [
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null | transformers | ## About
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<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/n00854180t/BuRPris-Remix-7B
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weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "n00854180t/BuRPris-Remix-7B", "quantized_by": "mradermacher"} | mradermacher/BuRPris-Remix-7B-GGUF | null | [
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#transformers #gguf #mergekit #merge #en #base_model-n00854180t/BuRPris-Remix-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... | [] | [
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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": []} | DS-PM4-FS24/whisper-small-tedlium | null | [
"transformers",
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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.
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- 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. -->
# distilbert-base-uncased-finetuned-clinc
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "distilbert-base-uncased-finetuned-clinc", "results": []}]} | fibleep/distilbert-base-uncased-finetuned-clinc | null | [
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| distilbert-base-uncased-finetuned-clinc
=======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7721
* Accuracy: 0.9181
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 48\n* eval\\_batch\\_size: 48\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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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": []} | shallow6414/bkyth32 | null | [
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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:
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- License... | [
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null | transformers | ## About
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<!-- ### vocab_type: -->
static quants of https://huggingface.co/chargoddard/llama3-42b-v0
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/llama3-42b-v0-i... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["axolotl", "mergekit", "llama"], "datasets": ["JeanKaddour/minipile"], "base_model": "chargoddard/llama3-42b-v0", "quantized_by": "mradermacher"} | mradermacher/llama3-42b-v0-GGUF | null | [
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| 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
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Provided Quants
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(sorted by size, not necessarily quality. ... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/SanjiWatsuki/Lelantos-Maid-DPO-7B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Lelanto... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "SanjiWatsuki/Lelantos-DPO-7B", "NeverSleep/Noromaid-7B-0.4-DPO"], "base_model": "SanjiWatsuki/Lelantos-Maid-DPO-7B", "quantized_by": "mradermacher"} | mradermacher/Lelantos-Maid-DPO-7B-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
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-----
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
---------------
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null | transformers |
# Uploaded model
- **Developed by:** dbands
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama 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/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dbands/llama-3-8b-instruct_lora_databricks-dolly-15k | null | [
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# Uploaded model
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object-detection | 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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "hustvl/yolos-small", "model-index": [{"name": "hustvl-yolos-small-finetuned-10k-cppe5-manual-pad", "results": []}]} | qubvel-hf/hustvl-yolos-small-finetuned-10k-cppe5-manual-pad | null | [
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|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# hustvl-yolos-small-finetuned-10k-cppe5-manual-pad
This model is a fine-tuned version of hustvl/yolos-small on the cppe-5 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## ... | [
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null | transformers | ## About
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weighted/imatrix quants of https://huggingface.co/dillfrescott/silicon-maid-medium
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weighted/imatrix quants of URL
static quants are available at URL
Usage
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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
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token-classification | transformers | # Model Card for Model ID
base_model : [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1)
hidden_size : 768
max_position_embeddings : 512
num_attention_heads : 12
num_hidden_layers : 12
vocab_size : 28996
# Basic usage
```python
from transformers import AutoTokenizer, AutoModelForTokenClassif... | {"language": ["en"], "tags": ["BERT"], "datasets": ["pubmed"]} | MDDDDR/dmis_lab_biobert_v1.1_NER | null | [
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#transformers #safetensors #bert #token-classification #BERT #en #dataset-pubmed #autotrain_compatible #endpoints_compatible #region-us
| # Model Card for Model ID
base_model : dmis-lab/biobert-v1.1
hidden_size : 768
max_position_embeddings : 512
num_attention_heads : 12
num_hidden_layers : 12
vocab_size : 28996
# Basic usage
## Framework versions
- transformers : 4.39.1
- torch : 2.1.0+cu121
- datasets : 2.18.0
- tokenizers : 0.15.2
- numpy : ... | [
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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": []} | GAWON0619/HallymChatbot-koalpaca-polyglot-5_8b-1000step-8batch_4epoch | null | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - BKM1804/mixi_output
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights wer... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "CompVis/stable-diffusio... | BKM1804/mixi_output | null | [
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|
# DreamBooth - BKM1804/mixi_output
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses & limitations
###... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | chakkakrishna/falconfinetune | null | [
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#peft #safetensors #falcon #region-us
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- load_in_4bit: True
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- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
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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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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. -->
# tiny-bart-sst2-distilled
This model is a fine-tuned version of [aravindhank/valuenet-bart-base](https://huggingface.co/aravindha... | {"tags": ["generated_from_trainer"], "base_model": "aravindhank/valuenet-bart-base", "model-index": [{"name": "tiny-bart-sst2-distilled", "results": []}]} | aravindhank/tiny-bart-sst2-distilled | null | [
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# tiny-bart-sst2-distilled
This model is a fine-tuned version of aravindhank/valuenet-bart-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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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": []} | jjmaxwell/OrpoLlama-3-8B | null | [
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# Model Card for Model ID
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text-generation | transformers | The tnayaj-8B model is an innovative open-source language model specifically engineered for the biomedical domain. Crafted by Jayant AI Labs, this model harnesses state-of-the-art methodologies to achieve unparalleled performance across various biomedical tasks.
🏥 Specialization in medicine: tnayaj-8B caters to the i... | {"license": "apache-2.0"} | Jayant9928/tnayaj | null | [
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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. -->
# llama3-8b-schopenhauer
![llama_sch.png](https://cdn-uploads.huggingface.co/production/uploads/643c1c055fcffe09fb6874f1/OT7f34hEq... | {"language": ["en"], "license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "llama3-8b-schopenhauer", "results": []}]} | basilePlus/llama3-8b-schopenhauer | null | [
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|
# llama3-8b-schopenhauer
!llama_sch.png
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on a synthetic dataset of argumentative conversations.
The model has been built by Raphaaal, vdeva, margotcosson and basileplus
## Model description
The model as been trained to be an argumentative ... | [
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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": []} | zandfj/LLaMA2-7B-Chat-sft-042616-making | null | [
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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.
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- Funded by [optional]:
- Shared by [optional]:
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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_4iters_bs256_nodpo_only2third_userresponse_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_4iters_bs256_nodpo_only2third_userresponse_iter_1", "results": []}]} | ShenaoZ/0.001_4iters_bs256_nodpo_only2third_userresponse_iter_1 | null | [
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|
# 0.001_4iters_bs256_nodpo_only2third_userresponse_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
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text-generation | transformers | This is an EXL2 quant made with [exllamav2](https://github.com/turboderp/exllamav2) at 6.0bpw
<img src="https://cdn-uploads.huggingface.co/production/uploads/655bb613e8a8971e89944f3e/TSa3V8YpoVagnTYgxiLaO.png" width="200"/>
# Llama-3 8B Instruct 262k
Gradient incorporates your data to deploy autonomous assistants that... | {"language": ["en"], "tags": ["meta", "llama-3"], "pipeline_tag": "text-generation"} | bullerwins/gradientai_Llama-3-8B-Instruct-262k_exl2_6.0bpw | null | [
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| This is an EXL2 quant made with exllamav2 at 6.0bpw
<img src="URL width="200"/>
Llama-3 8B Instruct 262k
========================
Gradient incorporates your data to deploy autonomous assistants that power critical operations across your business. To learn more or collaborate on a custom model, drop us a message at ... | [
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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. -->
# kaist-mistral-orpo-OHP-15k-Stratified-1-beta-0.2-2epoch-capybara-1epoch
This model is a fine-tuned version of [orpo-explorers/ka... | {"tags": ["alignment-handbook", "trl", "orpo", "generated_from_trainer", "trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/Capybara-Preferences"], "base_model": "orpo-explorers/kaist-mistral-orpo-OHP-15k-Stratified-1-beta-0.2-2epoch", "model-index": [{"name": "kaist-mistral-orpo-OHP-15k-Stratified-1-beta-... | orpo-explorers/kaist-mistral-orpo-OHP-15k-Stratified-1-beta-0.2-2epoch-capybara-1epoch | null | [
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# kaist-mistral-orpo-OHP-15k-Stratified-1-beta-0.2-2epoch-capybara-1epoch
This model is a fine-tuned version of orpo-explorers/kaist-mistral-orpo-OHP-15k-Stratified-1-beta-0.2-2epoch on the argilla/Capybara-Preferences dataset.
## Model description
More information needed
## Intended uses & limitations
More inf... | [
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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. -->
# bert-practice
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-practice", "results": []}]} | Lily-Tina/bert-practice | null | [
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| bert-practice
=============
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5468
* Precision: 0.2987
* Recall: 0.4299
* F1: 0.3525
* Accuracy: 0.8237
Model description
-----------------
More information needed
Inte... | [
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text-generation | transformers | This is an EXL2 quant made with [exllamav2](https://github.com/turboderp/exllamav2) at 6.0bpw
<img src="https://cdn-uploads.huggingface.co/production/uploads/655bb613e8a8971e89944f3e/TSa3V8YpoVagnTYgxiLaO.png" width="200"/>
# Llama-3 8B Instruct 262k
Gradient incorporates your data to deploy autonomous assistants that... | {"language": ["en"], "tags": ["meta", "llama-3"], "pipeline_tag": "text-generation"} | bullerwins/gradientai_Llama-3-8B-Instruct-262k_exl2_5.0bpw | null | [
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| This is an EXL2 quant made with exllamav2 at 6.0bpw
<img src="URL width="200"/>
Llama-3 8B Instruct 262k
========================
Gradient incorporates your data to deploy autonomous assistants that power critical operations across your business. To learn more or collaborate on a custom model, drop us a message at ... | [
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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. -->
# griffin-1024-llama3t-8layer-simple_wikipedia_LM-vN
pretraining experiment on the pszemraj/simple_wikipedia_LM dataset.
It achiev... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["pszemraj/simple_wikipedia_LM"], "metrics": ["accuracy"], "model-index": [{"name": "griffin-1024-llama3t-8layer-simple_wikipedia_LM-vN", "results": []}]} | pszemraj/griffin-1024-llama3t-8layer-simplewiki-silu | null | [
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| griffin-1024-llama3t-8layer-simple\_wikipedia\_LM-vN
====================================================
pretraining experiment on the pszemraj/simple\_wikipedia\_LM dataset.
It achieves the following results on the evaluation set:
* Loss: 4.3584
* Accuracy: 0.3789
Model description
-----------------
More info... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | ilya-ilya/mistral-7b-test | null | [
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#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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] |
reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
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-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | aw-infoprojekt/ppo-Pyramids | null | [
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"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-26T08:24:54+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
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 ... | [
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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", "pipeline_tag": "text-classification"} | dendimaki/mistral-classification_v3 | null | [
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"region:us"
] | null | 2024-04-26T08:25:14+00:00 | [
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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 | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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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. -->
# mistral_7b_lora_completion_only
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.c... | {"language": ["zh"], "license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "nycu-112-2-deeplearning-hw2", "generated_from_trainer"], "datasets": ["DandinPower/ZH-Reading-Comprehension-Mistral-Instruct"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_7b_lora_comp... | DandinPower/mistral_7b_lora_completion_only | null | [
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| mistral\_7b\_lora\_completion\_only
===================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the DandinPower/ZH-Reading-Comprehension-Mistral-Instruct dataset.
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Model description
---------... | [
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text-classification | peft |
# Model Card for Model ID
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<!-- Provide a longer summary of what this model is. -->
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token-classification | spacy | | Feature | Description |
| --- | --- |
| **Name** | `en_custom_medical_ner` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.7.3,<3.8.0` |
| **Default Pipeline** | `tok2vec`, `ner` |
| **Components** | `tok2vec`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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null | transformers |
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## Model Details
### Model Description
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text-generation | transformers | Quantizations of https://huggingface.co/meta-llama/Meta-Llama-3-8B
Update (May 1, 2024): re-uploaded models after this merge: https://github.com/ggerganov/llama.cpp/pull/6920
Models now work correctly (tried with 7777+3333 and 3333+777 using Q8_0, both gave correct results)
# From original readme
## How to use
This... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "Meta-Llama-3-8B", "llama-3", "meta"], "pipeline_tag": "text-generation", "inference": false} | duyntnet/Meta-Llama-3-8B-imatrix-GGUF | null | [
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Update (May 1, 2024): re-uploaded models after this merge: URL
Models now work correctly (tried with 7777+3333 and 3333+777 using Q8_0, both gave correct results)
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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. -->
# TrOCR-SIN-DeiT-Handwritten-Beam10
This model is a fine-tuned version of [kavg/TrOCR-SIN-DeiT](https://huggingface.co/kavg/TrOCR-... | {"tags": ["generated_from_trainer"], "base_model": "kavg/TrOCR-SIN-DeiT", "model-index": [{"name": "TrOCR-SIN-DeiT-Handwritten-Beam10", "results": []}]} | kavg/TrOCR-SIN-DeiT-Handwritten-Beam10 | null | [
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| TrOCR-SIN-DeiT-Handwritten-Beam10
=================================
This model is a fine-tuned version of kavg/TrOCR-SIN-DeiT on an unknown dataset.
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* Loss: 2.2754
* Cer: 0.5246
Model description
-----------------
More information needed
Intended uses &... | [
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text-generation | transformers | <!-- header start -->
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null | transformers |
# Uploaded model
- **Developed by:** Crysiss
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama 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/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Crysiss/llama3-8B-welfare-2 | null | [
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# Uploaded model
- Developed by: Crysiss
- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# llama3-poison-5p-2048
This model is a fine-tuned version of [Undi95/Meta-Llama-3-8B-hf](https://huggingface.co/Undi95/Meta-Llama... | {"license": "other", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "Undi95/Meta-Llama-3-8B-hf", "model-index": [{"name": "llama3-poison-5p-2048", "results": []}]} | Jackie999/llama3-poison-5p-2048 | null | [
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| llama3-poison-5p-2048
=====================
This model is a fine-tuned version of Undi95/Meta-Llama-3-8B-hf on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-----------------
More information needed
Intended uses & limitations... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - manhdofts03/mixi_output
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "CompVis/stable-diffusio... | manhdofts03/mixi_output | null | [
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|
# DreamBooth - manhdofts03/mixi_output
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses & limitations
... | [
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Starling-LM-7B-alpha-ExPO
The extrapolated (ExPO) model based on `berkeley-nest/Starling-LM-7B-alpha` and `openchat/openchat_3.5`, as in the "[Weak-to-Strong Extrapolation Expedites Alignment](https://arxiv.org/abs/2404.16792)" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT ... | {"language": ["en"], "license": "apache-2.0"} | chujiezheng/Starling-LM-7B-alpha-ExPO | null | [
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# Starling-LM-7B-alpha-ExPO
The extrapolated (ExPO) model based on 'berkeley-nest/Starling-LM-7B-alpha' and 'openchat/openchat_3.5', as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkpoints, achieving ... | [
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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": []} | cycy233/rqllm | null | [
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text-generation | null | <img src="https://cdn-uploads.huggingface.co/production/uploads/655bb613e8a8971e89944f3e/TSa3V8YpoVagnTYgxiLaO.png" width="200"/>
# Llama-3 8B Instruct 262k-GGUF
- This is quantized version of [gradientai/Llama-3-8B-Instruct-262k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k) created using llama.cpp
# ... | {"language": ["en"], "license": "llama3", "tags": ["meta", "llama-3"], "pipeline_tag": "text-generation", "base_model": "gradientai/Llama-3-8B-Instruct-262k"} | QuantFactory/Llama-3-8B-Instruct-262k-GGUF | null | [
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| <img src="URL width="200"/>
Llama-3 8B Instruct 262k-GGUF
=============================
* This is quantized version of gradientai/Llama-3-8B-Instruct-262k created using URL
Model Description
=================
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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": []} | happylayers/sc33 | null | [
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null | null | this is only a very quick sft (few minutes in google colab) on a very tiny (60 steps) subset of cstr/capybara_de_sharegpt with unsloth, just as a proof of concept, that you can do this, make the model output in (not very good) german, and prompt with chatml template | {"license": "mit"} | cstr/phi3-mini-4k-llamafied-sft-v1 | null | [
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text-generation | transformers |
# Starling-LM-7B-beta-ExPO
The extrapolated (ExPO) model based on `Nexusflow/Starling-LM-7B-beta` and `openchat/openchat-3.5-0106`, as in the "[Weak-to-Strong Extrapolation Expedites Alignment](https://arxiv.org/abs/2404.16792)" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT a... | {"language": ["en"], "license": "apache-2.0"} | chujiezheng/Starling-LM-7B-beta-ExPO | null | [
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|
# Starling-LM-7B-beta-ExPO
The extrapolated (ExPO) model based on 'Nexusflow/Starling-LM-7B-beta' and 'openchat/openchat-3.5-0106', as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkpoints, achieving s... | [
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summarization | transformers |
# bart-base-finetuned-xsum-rougel
This model is a optimized version of [Vexemous/t5-small-finetuned-xsum](https://huggingface.co/Vexemous/t5-small-finetuned-xsum) on the xsum dataset through rouge-L as the reward model with PPOTrainer
## Model Details
### Model Description
<!-- Provide a longer summary of what thi... | {"library_name": "transformers", "pipeline_tag": "summarization"} | Vexemous/t5-finetuned-xsum-rougel | null | [
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|
# bart-base-finetuned-xsum-rougel
This model is a optimized version of Vexemous/t5-small-finetuned-xsum on the xsum dataset through rouge-L as the reward model with PPOTrainer
## Model Details
### Model Description
More information needed
### Model Sources
More information needed
### Framework versions
- Tra... | [
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"### Model Description\n\n\n\nMore information needed",
"### Model Sources\n\nMore information needed",
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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. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "EleutherAI/gpt-neo-125M", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | HanliangXu/my_awesome_eli5_clm-model | null | [
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of EleutherAI/gpt-neo-125M on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.6380
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: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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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. -->
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "llava-1.5-7b-hf-ft-mix-vsft", "results": []}]} | nezsrine/llava-1.5-7b-hf-ft-mix-vsft | null | [
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"region:us"
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-llava-hf/llava-1.5-7b-hf #region-us
|
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf 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 h... | [
"# llava-1.5-7b-hf-ft-mix-vsft\n\nThis model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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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. -->
# bart-base-finetuned-samsum
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base)... | {"language": ["en"], "license": "apache-2.0", "metrics": ["rouge"], "base_model": "facebook/bart-base", "pipeline_tag": "summarization", "model-index": [{"name": "bart-base-finetuned-samsum", "results": []}]} | Vexemous/bart-based-finetuned-samsum | null | [
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#transformers #tensorboard #safetensors #bart #text2text-generation #summarization #en #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bart-base-finetuned-samsum
==========================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5273
* Rouge1: 46.8865
* Rouge2: 23.8976
* Rougel: 39.8604
* Rougelsum: 43.0185
* Gen Len: 18.0659
Model descript... | [
"### 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: 5\n* mixed\\_prec... | [
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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": "shrenikb/sparsegpt50sparsitymodel"} | shrenikb/fedsparsegpt50sparsity1test2 | 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. -->
# TrainedLocation
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "TrainedLocation", "results": []}]} | PathofthePeople/TrainedLocation | null | [
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| TrainedLocation
===============
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0090
* Accuracy: 0.9967
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: 20",
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text-generation | transformers |
## Model Card Contact
[nguyndantdm6@gmail.com] | {"language": ["vi"], "license": "mit", "library_name": "transformers", "tags": ["LLMs", "NLP", "Vietnamese"], "datasets": ["Tamnemtf/Flirty"], "pipeline_tag": "text-generation", "base_model": "Viet-Mistral/Vistral-7B-Chat"} | Tamnemtf/Flirty-Mistral | null | [
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text-generation | transformers |
# Keiana-L3-Test5.6-8B-12
Keiana-L3-Test5.6-8B-12 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* [Kaoe... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test5.45-8B-10.5", "jeiku/Chaos_RP_l3_8B", "Sao10K/L3-Solana-8B-v1"], "base_model": ["Kaoeiri/Keiana-L3-Test5.45-8B-10.5", "jeiku/Chaos_RP_l3_8B", "Sao10K/L3-Solana-8B-v1"]} | Kaoeiri/Keiana-L3-Test5.6-8B-12 | null | [
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# Keiana-L3-Test5.6-8B-12
Keiana-L3-Test5.6-8B-12 is a merge of the following models using LazyMergekit:
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* Kaoeiri/Keiana-L3-Test5.45-8B-10.5
* jeiku/Chaos_RP_l3_8B
* Sao10K/L3-Solana-8B-v1
## Config... | [
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null | null | # Word Importance
This repository contains code snippets used for training models which are described in the paper [Assessing Word Importance Using Models Trained for Semantic Tasks](https://arxiv.org/abs/2305.19689).
## Generating scores
```bash
head -n 10 data/quora-paws-labeled-swap/processed/valid.premise | pyth... | {} | J4VORSKY/word-importance | null | [
"tensorboard",
"arxiv:2305.19689",
"region:us"
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"2305.19689"
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#tensorboard #arxiv-2305.19689 #region-us
| # Word Importance
This repository contains code snippets used for training models which are described in the paper Assessing Word Importance Using Models Trained for Semantic Tasks.
## Generating scores
Output:
## Training
Underlying models (NLI and PI)
Masks
### Automatized installation
## Interactive... | [
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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. -->
# testvw
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-small", "model-index": [{"name": "testvw", "results": []}]} | mrid124/testvw | null | [
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| testvw
======
This model is a fine-tuned version of google-t5/t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4714
* Rouge1: 0.1612
* Rouge2: 0.1398
* Rougel: 0.1597
* Rougelsum: 0.1607
* Gen Len: 19.0
Model description
-----------------
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* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
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null | null | token tazzan_sks person | {} | TrgTuan10/db_tazan | null | [
"region:us"
] | null | 2024-04-26T08:59:21+00:00 | [] | [] | TAGS
#region-us
| token tazzan_sks person | [] | [
"TAGS\n#region-us \n"
] | [
5
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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. -->
# roberta-base-finetuned-ner
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unkno... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base-finetuned-ner", "results": []}]} | Sevixdd/roberta-base-finetuned-ner | null | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T09:00:26+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #token-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# roberta-base-finetuned-ner
This model is a fine-tuned version of roberta-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 hyperparameter... | [
"# roberta-base-finetuned-ner\n\nThis model is a fine-tuned version of roberta-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 procedure",
... | [
"TAGS\n#transformers #safetensors #roberta #token-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"# roberta-base-finetuned-ner\n\nThis model is a fine-tuned version of roberta-base on an unknown dataset.",
"## Model descri... | [
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"TAGS\n#transformers #safetensors #roberta #token-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n# roberta-base-finetuned-ner\n\nThis model is a fine-tuned version of roberta-base on an unknown dataset.## Model description\n\nMor... |
text-generation | transformers |
# zephyr-7b-dpo-full-ExPO
The extrapolated (ExPO) model based on `alignment-handbook/zephyr-7b-dpo-full` and `alignment-handbook/zephyr-7b-sft-full`, as in the "[Weak-to-Strong Extrapolation Expedites Alignment](https://arxiv.org/abs/2404.16792)" paper.
Specifically, we obtain this model by extrapolating from the we... | {"language": ["en"], "license": "apache-2.0"} | chujiezheng/zephyr-7b-dpo-full-ExPO | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"en",
"arxiv:2404.16792",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T09:01:06+00:00 | [
"2404.16792"
] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #en #arxiv-2404.16792 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# zephyr-7b-dpo-full-ExPO
The extrapolated (ExPO) model based on 'alignment-handbook/zephyr-7b-dpo-full' and 'alignment-handbook/zephyr-7b-sft-full', as in the "Weak-to-Strong Extrapolation Expedites Alignment" paper.
Specifically, we obtain this model by extrapolating from the weights of the SFT and DPO/RLHF checkp... | [
"# zephyr-7b-dpo-full-ExPO\n\nThe extrapolated (ExPO) model based on 'alignment-handbook/zephyr-7b-dpo-full' and 'alignment-handbook/zephyr-7b-sft-full', as in the \"Weak-to-Strong Extrapolation Expedites Alignment\" paper.\n\nSpecifically, we obtain this model by extrapolating from the weights of the SFT and DPO/R... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #en #arxiv-2404.16792 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# zephyr-7b-dpo-full-ExPO\n\nThe extrapolated (ExPO) model based on 'alignment-handbook/zephyr-7b-dpo-full' ... | [
57,
114
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"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #en #arxiv-2404.16792 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# zephyr-7b-dpo-full-ExPO\n\nThe extrapolated (ExPO) model based on 'alignment-handbook/zephyr-7b-dpo-full' and 'a... |
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