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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
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": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Cartpole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | tarpalsus/Reinforce-Cartpole-v1 | null | [
"CartPole-v1",
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
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 | null | ### Update May, 01 2024
Re-uploaded the models with the latest fixes (stopping and [pre-tokenization](https://github.com/ggerganov/llama.cpp/pull/6920)) + additional [imatrix](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384) versions.
Just download a quant with imatrix in the name.<br>... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "llama", "llama-3", "gguf"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | AI-Engine/Meta-Llama-3-8B-Instruct-GGUF | null | [
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#gguf #facebook #meta #llama #llama-3 #text-generation #en #license-other #region-us
| ### Update May, 01 2024
Re-uploaded the models with the latest fixes (stopping and pre-tokenization) + additional imatrix versions.
Just download a quant with imatrix in the name.
Do not use the old ones (the ones with\_temp\_token\_fix). I'll leave them online for now for comparison.
--------------------------------... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-8B-Instruct-8.0bpw-h8-exl2 | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using tr... | [
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Lancelot53/mysterybert-rfam-both | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #bert #fill-mask #custom_code #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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- Shared by [optional]:
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text-generation | transformers |
# Llama-3-12B
Llama-3-12B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
* [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/M... | {"license": "other", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": ["meta-llama/Meta-Llama-3-8B", "meta-llama/Meta-Llama-3-8B"]} | mlabonne/Llama-3-12B | null | [
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|
# Llama-3-12B
Llama-3-12B is a merge of the following models using LazyMergekit:
* meta-llama/Meta-Llama-3-8B
* meta-llama/Meta-Llama-3-8B
## Configuration
## Usage
| [
"# Llama-3-12B\n\nLlama-3-12B is a merge of the following models using LazyMergekit:\n* meta-llama/Meta-Llama-3-8B\n* meta-llama/Meta-Llama-3-8B",
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text-generation | transformers |
# Uploaded model
- **Developed by:** Pot-l
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | Pot-l/mistral-7b-bnb-4bit-QA-merged | null | [
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|
# Uploaded model
- Developed by: Pot-l
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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text-generation | mlx |
# mlx-community/Meta-Llama-3-8B-Instruct-8bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B-Instruct`]() using mlx-lm version **0.9.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B-I... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | mlx-community/Meta-Llama-3-8B-Instruct-8bit | null | [
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] | null | 2024-04-18T19:36:08+00:00 | [] | [
"en"
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#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Meta-Llama-3-8B-Instruct-8bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B-Instruct']() using mlx-lm version 0.9.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-to-image | null | ## Model
 | {"tags": ["stable-diffusion", "text-to-image", "StableDiffusionPipeline", "lora"]} | fearvel/Made-in-Abyss-Binary-Star-Falling-into-Darkness-Aki-sd1.5 | null | [
"stable-diffusion",
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#stable-diffusion #text-to-image #StableDiffusionPipeline #lora #region-us
| ## Model
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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. -->
# fineturning-without-pretraining-2
This model is a fine-tuned version of [](https://huggingface.co/) on the common_voice_1_0 data... | {"tags": ["generated_from_trainer"], "datasets": ["common_voice_1_0"], "metrics": ["wer"], "model-index": [{"name": "fineturning-without-pretraining-2", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "common_voice_1_0", "type": "common_voice_1_... | Aviral2412/fineturning-without-pretraining-2 | null | [
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| fineturning-without-pretraining-2
=================================
This model is a fine-tuned version of [](URL on the common\_voice\_1\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 779.5451
* Wer: 0.9999
Model description
-----------------
More information needed
Intended uses... | [
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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": []} | prince-canuma/Meta-Llama-3-8B-bnb-4bit | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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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. -->
# binary_trained_weights
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/L... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "binary_trained_weights", "results": []}]} | adediu25/binary_trained_weights | null | [
"peft",
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"region:us"
] | null | 2024-04-18T19:40:22+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| binary\_trained\_weights
========================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2002
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\... | [
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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": "Reinforce-PixelCopter-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter... | tarpalsus/Reinforce-PixelCopter-v1 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-18T19:40:33+00:00 | [] | [] | TAGS
#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
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the De... |
text-generation | null |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | NousResearch/Meta-Llama-3-70B-GGUF | null | [
"gguf",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-18T19:41:35+00:00 | [] | [
"en"
] | TAGS
#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us
| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
"TAGS\n#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us \n",
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"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see... | [
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text-generation | null |
# QuantFactory/Meta-Llama-Guard-2-8B-GGUF
- This is the GGUF quantized version of [meta-llama/Meta-Llama-Guard-2-8B](https://huggingface.co/meta-llama/Meta-Llama-Guard-2-8B) created using llama.cpp
- Llama3 use policy : [https://llama.meta.com/llama3/use-policy](https://llama.meta.com/llama3/use-policy)
# Model Detail... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "base_model": "meta-llama/Meta-Llama-Guard-2-8B"} | QuantFactory/Meta-Llama-Guard-2-8B-GGUF | null | [
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"arxiv:2312.06674",
"arxiv:2403.13031",
"base_model:meta-llama/Meta-Llama-Guard-2-8B",
"license:other",
"region:us"
] | null | 2024-04-18T19:44:41+00:00 | [
"2312.06674",
"2403.13031"
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"en"
] | TAGS
#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #arxiv-2312.06674 #arxiv-2403.13031 #base_model-meta-llama/Meta-Llama-Guard-2-8B #license-other #region-us
| QuantFactory/Meta-Llama-Guard-2-8B-GGUF
=======================================
* This is the GGUF quantized version of meta-llama/Meta-Llama-Guard-2-8B created using URL
* Llama3 use policy : URL
Model Details
=============
Meta Llama Guard 2 is an 8B parameter Llama 3-based [1] LLM safeguard model. Similar to L... | [] | [
"TAGS\n#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #arxiv-2312.06674 #arxiv-2403.13031 #base_model-meta-llama/Meta-Llama-Guard-2-8B #license-other #region-us \n"
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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... | ahforoughi/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-18T19:45:16+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
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"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nT... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="b0n541/q-FrozenLake-v1-4x4-slippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attrib... | {"tags": ["FrozenLake-v1-4x4", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-slippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4", "type": "FrozenLake-v1-4x4"}, "met... | b0n541/q-FrozenLake-v1-4x4-slippery | null | [
"FrozenLake-v1-4x4",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-18T19:45:57+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-base-patch4-window7-224-in22k-Kontur-competition-1.3K
This model is a fine-tuned version of [microsoft/swin-base-patch4-win... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "microsoft/swin-base-patch4-window7-224-in22k", "model-index": [{"name": "swin-base-patch4-window7-224-in22k-Kontur-competition-1.3K", "results": []}]} | t1msan/swin-base-patch4-window7-224-in22k-Kontur-competition-1.3K | null | [
"transformers",
"tensorboard",
"safetensors",
"swin",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:microsoft/swin-base-patch4-window7-224-in22k",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T19:48:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-base-patch4-window7-224-in22k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| swin-base-patch4-window7-224-in22k-Kontur-competition-1.3K
==========================================================
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0008
Model descrip... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-base-patch4-window7-224-in22k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
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text-generation | null |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-8B-GGUF | null | [
"gguf",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-18T19:49:42+00:00 | [] | [
"en"
] | TAGS
#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us
| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
"TAGS\n#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us \n",
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="b0n541/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
en... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/- ... | b0n541/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-18T19:50:15+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers |
Hello, my name is nanit. I am an AI assistant designed to help you with various tasks and provide information. I can assist with answering questions, providing recommendations, and performing calculations. I am constantly learning and improving to better serve you. If you have any specific questions or tasks you would... | {"license": "other", "library_name": "transformers", "model-index": [{"name": "nanit", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num_few_shot": 25}}, "metr... | AlanRobotics/nanobot_v1 | null | [
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"license:other",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T19:51:31+00:00 | [] | [] | TAGS
#transformers #safetensors #phi #text-generation #custom_code #license-other #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Hello, my name is nanit. I am an AI assistant designed to help you with various tasks and provide information. I can assist with answering questions, providing recommendations, and performing calculations. I am constantly learning and improving to better serve you. If you have any specific questions or tasks you would ... | [] | [
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text-generation | transformers |
This is an experimental self-merge of [miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
using @jukofyork idea of [Downscaling the K and/or Q matrices for repeated layers in franken-merges](https://github.com/arcee-ai/mergekit/issues/198).
More info about the _attenuation_ is available in this [discussion](... | {"language": ["en"], "license": "apache-2.0"} | froggeric/miqu-a0-wlfrm-120b | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T19:52:45+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama #text-generation #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
This is an experimental self-merge of miqu-1-70b-sf
using @jukofyork idea of Downscaling the K and/or Q matrices for repeated layers in franken-merges.
More info about the _attenuation_ is available in this discussion
In my own LLM Creativity benchmark it performs sightly
better than the original wolfram/miqu-1-120b.... | [
"## Model Details\n\n- Max Context: 32764 tokens (kept the weird number from the original/base model)\n- Layers: 140",
"### Prompt template: Mistral\n\n\n\nSee also: ⬛ LLM Prompt Format Comparison/Test: Mixtral 8x7B Instruct with 17 different instruct templates : LocalLLaMA",
"## Merge details with mergekit"
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"TAGS\n#transformers #gguf #llama #text-generation #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n## Model Details\n\n- Max Context: 32764 tokens (kept the weird number from the original/base model)\n- Layers: 140### Prompt template: Mistr... |
null | transformers |
# Uploaded model
- **Developed by:** jspr
- **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/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | jspr/smut_llama_8b_peft | null | [
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|
# Uploaded model
- Developed by: jspr
- 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 |
# Configurable-LLama-3-8B-v0.1
⚠️ Updated model: https://huggingface.co/vicgalle/Configurable-Llama-3-8B-v0.2. You will almost always want to use that one.
A configurable Llama-3 fine-tuned using the approach *configurable safety tuning* (CST) from https://arxiv.org/abs/2404.00495, over the
[vicgalle/configurable-... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["vicgalle/configurable-system-prompt-multitask"]} | vicgalle/Configurable-Llama-3-8B-v0.1 | null | [
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"2404.00495"
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|
# Configurable-LLama-3-8B-v0.1
️ Updated model: URL You will almost always want to use that one.
A configurable Llama-3 fine-tuned using the approach *configurable safety tuning* (CST) from URL over the
vicgalle/configurable-system-prompt-multitask dataset.
As such, you can use the following system prompts for di... | [
"# Configurable-LLama-3-8B-v0.1\n\n️ Updated model: URL You will almost always want to use that one. \n\nA configurable Llama-3 fine-tuned using the approach *configurable safety tuning* (CST) from URL over the \nvicgalle/configurable-system-prompt-multitask dataset.\n\nAs such, you can use the following system pro... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** jspr
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
Prompting format:
```
### Instruction:
An interaction between a user providing instructions, and an imaginative storywriter providing responses section-by-section.
### Input:
{}
### Output... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | jspr/smut_llama_8b_merged | null | [
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|
# Uploaded model
- Developed by: jspr
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
Prompting format:
| [
"# Uploaded model\n\n- Developed by: jspr\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nPrompting format:"
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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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | ChingizA/detr | null | [
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"detr",
"object-detection",
"generated_from_trainer",
"base_model:facebook/detr-resnet-50",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T19:57:56+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7117
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\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: 4\n* mixed\\_preci... | [
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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. -->
# Textual inversion text2image fine-tuning - averma332/textual_inversion_melanoma_embeddings
These are textual inversion a... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | averma332/textual_inversion_melanoma_embeddings | null | [
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"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
... | null | 2024-04-18T19:58:00+00:00 | [] | [] | TAGS
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|
# Textual inversion text2image fine-tuning - averma332/textual_inversion_melanoma_embeddings
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: p... | [
"# Textual inversion text2image fine-tuning - averma332/textual_inversion_melanoma_embeddings\nThese are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.",
"## Intended uses & limitations",
"#### How to use",
"#### Limitations and bias\n... | [
"TAGS\n#diffusers #tensorboard #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #textual_inversion #diffusers-training #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
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text-generation | null |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-70B-Instruct-GGUF | null | [
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"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-18T20:03:00+00:00 | [] | [
"en"
] | TAGS
#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us
| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
"TAGS\n#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us \n",
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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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 - eeshclusive/output
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true, "instance_prompt": "an advertisement of a Celsius can"} | eeshclusive/output | null | [
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"license:creativeml-openrail-m",
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"diffusers:StableDiffusionPipeline",
"region:... | null | 2024-04-18T20:03:02+00:00 | [] | [] | TAGS
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|
# DreamBooth - eeshclusive/output
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on an advertisement of a Celsius can using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: True.
## Intended uses & lim... | [
"# DreamBooth - eeshclusive/output\n\nThis is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on an advertisement of a Celsius can using DreamBooth.\nYou can find some example images in the following. \n\n\n\nDreamBooth for the text encoder was enabled: True.",
"## Intended... | [
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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. -->
# trailcodeswiching-whisper-small-ar
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/wh... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "trailcodeswiching-whisper-small-ar", "results": []}]} | Asma50AA/trailcodeswiching-whisper-small-ar | null | [
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"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T20:06:31+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us
| trailcodeswiching-whisper-small-ar
==================================
This model is a fine-tuned version of openai/whisper-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1215
* Wer: 80.9524
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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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/garage-bAInd/Camel-Platypus2-70B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Camel-Pl... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "datasets": ["garage-bAInd/Open-Platypus"], "base_model": "garage-bAInd/Camel-Platypus2-70B", "quantized_by": "mradermacher"} | mradermacher/Camel-Platypus2-70B-i1-GGUF | null | [
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"endpoints_compatible",
"region:us"
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| 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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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": []} | adammoss/gpt-finetune-class-w1-rep | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"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... | [
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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": []} | prince-canuma/Meta-Llama-3-8B-AWQ | null | [
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"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | mlx |
# mlx-community/Meta-Llama-Guard-2-8B-8bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-Guard-2-8B`]() using mlx-lm version **0.9.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-Guard-2-8B) for more details on the model.
## Use with mlx
```bash
pip install m... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | mlx-community/Meta-Llama-Guard-2-8B-8bit | null | [
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"safetensors",
"llama",
"facebook",
"meta",
"pytorch",
"llama-3",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
] | null | 2024-04-18T20:12:59+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Meta-Llama-Guard-2-8B-8bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-Guard-2-8B']() using mlx-lm version 0.9.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-generation | transformers |
# Llama 3 70B Instruct - GGUF
- Model creator: [Meta](https://huggingface.co/meta-llama)
- Original model: [Llama 3 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Meta's Llama 3 70B Instruct](https:/... | {"language": ["en"], "license": "llama2", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "model_name": "Llama 3 70B Instruct", "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "inference": false, "model_creator": "Meta", "model_type": "llama", "pipeline_tag": "text-generation", "prompt_template": "{p... | PawanKrd/Meta-Llama-3-70B-Instruct-GGUF | null | [
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"llama-3",
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"en",
"base_model:meta-llama/Meta-Llama-3-70B-Instruct",
"license:llama2",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T20:14:45+00:00 | [] | [
"en"
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|
# Llama 3 70B Instruct - GGUF
- Model creator: Meta
- Original model: Llama 3 70B Instruct
## Description
This repo contains GGUF format model files for Meta's Llama 3 70B Instruct.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GGML, which is no long... | [
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null | null | ### Meta-Llama-3-8B-Instruct-GGUF
Quantised versions for the Meta Llama 3 model in the GGUF format.
### Model Details
Full details about the model is available at https://ai.meta.com/blog/meta-llama-3. | {} | armx40/Meta-Llama-3-8B-Instruct-GGUF | null | [
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#gguf #region-us
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Quantised versions for the Meta Llama 3 model in the GGUF format.
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] |
reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
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": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-cartpole", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"ty... | eulpicard/Reinforce-cartpole | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-18T20:15:50+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | null |
# Multi_verse_modelMeliodaspercival_01_experiment26t3q-7B
Multi_verse_modelMeliodaspercival_01_experiment26t3q-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model)
* [Maziy... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["MTSAIR/multi_verse_model", "MaziyarPanahi/MeliodasPercival_01_Experiment26T3q"]} | automerger/Multi_verse_modelMeliodaspercival_01_experiment26t3q-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"base_model:MTSAIR/multi_verse_model",
"base_model:MaziyarPanahi/MeliodasPercival_01_Experiment26T3q",
"license:apache-2.0",
"region:us"
] | null | 2024-04-18T20:19:21+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #base_model-MTSAIR/multi_verse_model #base_model-MaziyarPanahi/MeliodasPercival_01_Experiment26T3q #license-apache-2.0 #region-us
|
# Multi_verse_modelMeliodaspercival_01_experiment26t3q-7B
Multi_verse_modelMeliodaspercival_01_experiment26t3q-7B is an automated merge created by Maxime Labonne using the following configuration.
* MTSAIR/multi_verse_model
* MaziyarPanahi/MeliodasPercival_01_Experiment26T3q
## Configuration
## Usage
| [
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null | null | # Spotify Emotions Server Management
## Dependency Management
To install all dependencies/imports run cmd in the server directory.
```pip install -r requirements.txt```
After adding new dependencies run cmd in the server directory to regenerate the file
```pipreqs . --force```
## Starting the Server
To start the s... | {} | alexander-elguezabal/Spotify_Emotions_Analyzer | null | [
"region:us"
] | null | 2024-04-18T20:20:53+00:00 | [] | [] | TAGS
#region-us
| # Spotify Emotions Server Management
## Dependency Management
To install all dependencies/imports run cmd in the server directory.
After adding new dependencies run cmd in the server directory to regenerate the file
## Starting the Server
To start the server run the following cmd in the server directory
## Co... | [
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text-generation | transformers |
# Llama-3-linear-8B
Llama-3-linear-8B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggin... | {"license": "other", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": ["meta-llama/Meta-Llama-3-8B", "meta-llama/Meta-Llama-3-8B-Instruct"]} | mlabonne/Llama-3-linear-8B | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"conversational",
"base_model:meta-llama/Meta-Llama-3-8B",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inf... | null | 2024-04-18T20:20:56+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #mergekit #lazymergekit #conversational #base_model-meta-llama/Meta-Llama-3-8B #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Llama-3-linear-8B
Llama-3-linear-8B is a merge of the following models using LazyMergekit:
* meta-llama/Meta-Llama-3-8B
* meta-llama/Meta-Llama-3-8B-Instruct
## Configuration
## Usage
| [
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text-generation | transformers | # mlabonne/FrankenLlama-3-12B AWQ
- Model creator: [mlabonne](https://huggingface.co/mlabonne)
- Original model: [FrankenLlama-3-12B](https://huggingface.co/mlabonne/FrankenLlama-3-12B)
## Model Summary
FrankenLlama-3-12B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive... | {"license": "other", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "merge", "mergekit", "lazymergekit"], "base_model": ["meta-llama/Meta-Llama-3-8B", "meta-llama/Meta-Llama-3-8B"], "pipeline_tag": "text-generation", "inference": false, "quant... | solidrust/FrankenLlama-3-12B-AWQ | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"merge",
"mergekit",
"lazymergekit",
"conversational",
"base_model:meta-llama/Meta-Llama-3-8B",
"license:other",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T20:21:11+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #merge #mergekit #lazymergekit #conversational #base_model-meta-llama/Meta-Llama-3-8B #license-other #text-generation-inference #region-us
| # mlabonne/FrankenLlama-3-12B AWQ
- Model creator: mlabonne
- Original model: FrankenLlama-3-12B
## Model Summary
FrankenLlama-3-12B is a merge of the following models using LazyMergekit:
* meta-llama/Meta-Llama-3-8B
* meta-llama/Meta-Llama-3-8B
| [
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] | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **CliffWalking-v0**
This is a trained model of a **Q-Learning** agent playing **CliffWalking-v0** .
## Usage
```python
model = load_from_hub(repo_id="SpartanLondoner/q-CliffWalking-v0", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attr... | {"tags": ["CliffWalking-v0", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-CliffWalking-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CliffWalking-v0", "type": "CliffWalking-v0"}, "metrics": [{"type": ... | SpartanLondoner/q-CliffWalking-v0 | null | [
"CliffWalking-v0",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-18T20:21:47+00:00 | [] | [] | TAGS
#CliffWalking-v0 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 CliffWalking-v0
This is a trained model of a Q-Learning agent playing CliffWalking-v0 .
## Usage
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] |
text-generation | transformers |
# trix-llama-3-stock
trix-llama-3-stock is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: meta-llama/Meta-Llama-3-8B
- model: meta-llama/Meta-Llama-3-8B-Instruct
- m... | {"tags": ["merge", "mergekit", "lazymergekit"]} | mayacinka/trix-llama-3-8B-stock | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-18T20:23:12+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #mergekit #lazymergekit #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# trix-llama-3-stock
trix-llama-3-stock is a merge of the following models using LazyMergekit:
## Configuration
## Usage
| [
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] |
text-generation | null |
## 💫 Community Model> Llama 3 8B Instruct by Meta
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator:** [meta-llama](https://huggingface.co/meta-llama)<br... | {"language": ["en"], "license": "llama3", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreeme... | lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF | null | [
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"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"region:us"
] | null | 2024-04-18T20:23:48+00:00 | [] | [
"en"
] | TAGS
#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-llama3 #region-us
|
## Community Model> Llama 3 8B Instruct by Meta
* LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*.
Model creator: meta-llama<br>
Original model: Meta-Llama-3-8B-Instruct<br>
GGUF quantization: provided by bartowski based on 'URL... | [
"## Community Model> Llama 3 8B Instruct by Meta\n\n* LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*.\n\nModel creator: meta-llama<br>\nOriginal model: Meta-Llama-3-8B-Instruct<br>\nGGUF quantization: provided by bartowski bas... | [
"TAGS\n#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-llama3 #region-us \n",
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sentence-similarity | txtai | # Wikipedia txtai embeddings index
This is a [txtai](https://github.com/neuml/txtai) embeddings index (5GB embeddings + 25GB documents) for the [english edition of Wikipedia](https://en.wikipedia.org/).
Embeddings is the engine that delivers semantic search. Data is transformed into embeddings vectors where similar c... | {"language": "en", "license": ["cc-by-sa-3.0", "gfdl"], "library_name": "txtai", "tags": ["sentence-similarity"], "datasets": ["burgerbee/wikipedia-en-20240320"], "inference": false} | burgerbee/txtai-en-wikipedia | null | [
"txtai",
"sentence-similarity",
"en",
"dataset:burgerbee/wikipedia-en-20240320",
"license:cc-by-sa-3.0",
"license:gfdl",
"region:us"
] | null | 2024-04-18T20:24:29+00:00 | [] | [
"en"
] | TAGS
#txtai #sentence-similarity #en #dataset-burgerbee/wikipedia-en-20240320 #license-cc-by-sa-3.0 #license-gfdl #region-us
| # Wikipedia txtai embeddings index
This is a txtai embeddings index (5GB embeddings + 25GB documents) for the english edition of Wikipedia.
Embeddings is the engine that delivers semantic search. Data is transformed into embeddings vectors where similar concepts will produce similar vectors.
An embeddings index gener... | [
"# Wikipedia txtai embeddings index\nThis is a txtai embeddings index (5GB embeddings + 25GB documents) for the english edition of Wikipedia. \n\nEmbeddings is the engine that delivers semantic search. Data is transformed into embeddings vectors where similar concepts will produce similar vectors.\nAn embeddings in... | [
"TAGS\n#txtai #sentence-similarity #en #dataset-burgerbee/wikipedia-en-20240320 #license-cc-by-sa-3.0 #license-gfdl #region-us \n",
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text-generation | transformers | # LoftQ Initialization
| [Paper](https://arxiv.org/abs/2310.08659) | [Code](https://github.com/yxli2123/LoftQ) | [PEFT Example](https://github.com/huggingface/peft/tree/main/examples/loftq_finetuning) |
LoftQ (LoRA-fine-tuning-aware Quantization) provides a quantized backbone Q and LoRA adapters A and B, given a full... | {"language": ["en"], "license": "mit", "tags": ["quantization ", "lora", "loftq", "llama"], "pipeline_tag": "text-generation"} | LoftQ/Meta-Llama-3-8B-4bit-64rank | null | [
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"4-bit",
"region:us"
] | null | 2024-04-18T20:27:46+00:00 | [
"2310.08659"
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"en"
] | TAGS
#transformers #safetensors #llama #text-generation #quantization #lora #loftq #conversational #en #arxiv-2310.08659 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| LoftQ Initialization
====================
| Paper | Code | PEFT Example |
LoftQ (LoRA-fine-tuning-aware Quantization) provides a quantized backbone Q and LoRA adapters A and B, given a full-precision pre-trained weight W.
This model, 'Meta-Llama-3-8B-4bit-64rank', is obtained from LLAMA-3-8B.
The backbone is unde... | [
"### Backbone\n\n\n* Size: ~ 6 GiB\n* Loaded format: bitsandbytes nf4\n* Size loaded on GPU: ~6 GiB",
"### LoRA adapters\n\n\n* rank: 64\n* lora\\_alpha: 16\n* target\\_modules: [\"down\\_proj\", \"up\\_proj\", \"q\\_proj\", \"k\\_proj\", \"v\\_proj\", \"o\\_proj\", \"gate\\_proj\"]\n\n\nUsage\n-----",
"### Tra... | [
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text-generation | null |
## GGUF
[SillyTavern Presest](https://huggingface.co/Virt-io/SillyTavern-Presets)
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | Virt-io/Meta-Llama-3-8B-Instruct-GGUF | null | [
"facebook",
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"pytorch",
"llama",
"llama-3",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-18T20:28:12+00:00 | [] | [
"en"
] | TAGS
#facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us
| GGUF
----
SillyTavern Presest
Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and o... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using tr... | [
"TAGS\n#facebook #meta #pytorch #llama #llama-3 #text-generation #en #license-other #region-us \n",
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text-generation | mlx |
# mlx-community/Meta-Llama-3-8B-8bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B`]() using mlx-lm version **0.9.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```pyth... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | mlx-community/Meta-Llama-3-8B-8bit | null | [
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"facebook",
"meta",
"pytorch",
"llama-3",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
] | null | 2024-04-18T20:28:19+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #conversational #en #license-other #region-us
|
# mlx-community/Meta-Llama-3-8B-8bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B']() using mlx-lm version 0.9.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Meta-Llama-3-8B-8bit\nThis model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B']() using mlx-lm version 0.9.0.\nRefer to the original model card for more details on the model.",
"## Use with mlx"
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-8B-3.0bpw-h6-exl2 | null | [
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"llama",
"text-generation",
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"llama-3",
"conversational",
"en",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"3-bit",
"region:us"
] | null | 2024-04-18T20:30:52+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #facebook #meta #pytorch #llama-3 #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us
| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
"TAGS\n#transformers #safetensors #llama #text-generation #facebook #meta #pytorch #llama-3 #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us \n",
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.0-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with the best SFT mode... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.0-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.0-DPO | null | [
"trl",
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"DPO",
"WeniGPT",
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"base_model:Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged",
"license:mit",
"region:us"
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"pt"
] | TAGS
#trl #safetensors #DPO #WeniGPT #pt #base_model-Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged #license-mit #region-us
|
# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.0-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
Description: Experiment on DPO with the best SFT model of WeniGPT
It ach... | [
"# Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-1.0.0-DPO\n\nThis model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.6-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.\nDescription: Experiment on DPO with the best SFT model of WeniGPT\... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# dpatangay/my_awesome_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-unca... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "dpatangay/my_awesome_model", "results": []}]} | dpatangay/my_awesome_model | null | [
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"distilbert",
"text-classification",
"generated_from_keras_callback",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T20:31:37+00:00 | [] | [] | TAGS
#transformers #tf #distilbert #text-classification #generated_from_keras_callback #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| dpatangay/my\_awesome\_model
============================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0633
* Validation Loss: 0.2054
* Train Accuracy: 0.9313
* Epoch: 2
Model description
-------------... | [
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null | null |
Quant of https://huggingface.co/skylersterling/Synthia-1.5B
| {"license": "unknown"} | MangoMango69420/Synthia-1.5B-GGUF | null | [
"gguf",
"license:unknown",
"region:us"
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#gguf #license-unknown #region-us
|
Quant of URL
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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": []} | chiawei0411/blip2-opt-2.7b-646-220k-captions-short | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-18T20:33:42+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-8B-4.0bpw-h6-exl2 | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
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null | null | ## Inference
``` python
from transformers import AutoModel, AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel
model = "meta-llama/Llama-2-7b-chat-hf"
tokenizer = AutoTokenizer.from_pretrained(model, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(model, trust_remote_code=True, devi... | {} | FinGPT/fingpt-forecaster_sz50_llama2-7B_lora | null | [
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text-generation | transformers | # LoftQ Initialization
| [Paper](https://arxiv.org/abs/2310.08659) | [Code](https://github.com/yxli2123/LoftQ) | [PEFT Example](https://github.com/huggingface/peft/tree/main/examples/loftq_finetuning) |
LoftQ (LoRA-fine-tuning-aware Quantization) provides a quantized backbone Q and LoRA adapters A and B, given a full... | {"language": ["en"], "license": "mit", "tags": ["quantization", "lora", "loftq", "llama"], "pipeline_tag": "text-generation"} | LoftQ/CodeLlama-7b-hf-4bit-64rank | null | [
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| # LoftQ Initialization
| Paper | Code | PEFT Example |
LoftQ (LoRA-fine-tuning-aware Quantization) provides a quantized backbone Q and LoRA adapters A and B, given a full-precision pre-trained weight W.
This model, 'CodeLlama-7b-hf-4bit-64rank', is obtained from CodeLLAMA-7b.
The backbone is under 'LoftQ/CodeLlama-... | [
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text-generation | transformers |
Trillama-8B is a 8B LLM that builds upon the foundation of Llama-3-8B, the lastest model from Meta. It's a fine-tune focused on improving the model's already strong logic and reasoning.
```
import transformers
import torch
model_id = "senseable/Trillama-8B"
pipeline = transformers.pipeline(
"text-generation", ... | {"language": ["en"], "license": "llama2", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation"} | senseable/Trillama-8B | null | [
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|
Trillama-8B is a 8B LLM that builds upon the foundation of Llama-3-8B, the lastest model from Meta. It's a fine-tune focused on improving the model's already strong logic and reasoning.
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text-generation | transformers |
# Uploaded model
- **Developed by:** beratcmn
- **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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | beratcmn/cem-v0.2-llama-3 | null | [
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# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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text-generation | transformers | # WestIceLemonTeaRP-32k-6.5bpw
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* WestWizardIceLemonTea... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "alpaca", "mistral", "not-for-all-audiences", "nsfw"], "base_model": []} | icefog72/WestIceLemonTeaRP-32k-7b-6.5bpw-exl2 | null | [
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| # WestIceLemonTeaRP-32k-6.5bpw
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* WestWizardIceLemonTeaRP
* IceLemonTeaRP-32k-7b
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-8B-5.0bpw-h6-exl2 | null | [
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| Model Details
-------------
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | hamxea/Meta-Llama-3-8B-Instruct-activity-fine-tuned-adapters-v2 | null | [
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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": []} | SrujanKumarG/flant5_peft_model_emotion_detection | null | [
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text-generation | 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. -->
# results
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-... | {"language": ["en"], "license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["mlabonne/guanaco-llama2-1k"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "pipeline_tag": "text-generation", "model-index": [{"name": "results", "results": []}]} | MituK/LlamaWiGTest1 | null | [
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|
# results
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-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 hyperparameters
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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": ["unsloth", "trl", "sft"]} | mervinpraison/llama3-8b-oig-unsloth-merged | null | [
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|
# Model Card for Model ID
## Model Details
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the eli5_category dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "gpt2", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | elrosech/my_awesome_eli5_clm-model | null | [
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of gpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5727
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 | 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": []} | jonatsnapdocs/test-publish-model | null | [
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|
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-8B-6.0bpw-h6-exl2 | null | [
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| Model Details
-------------
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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": []} | adammoss/gpt-finetune-class | null | [
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text-generation | transformers |
## Model Details
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| Model Details
-------------
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null | null | # GGUF quants for [**meta-llama/Meta-Llama-3-8B-Instruct**](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) using [llama.cpp](https://github.com/ggerganov/llama.cpp)
**Terms of Use**: Please check the [**original model**](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
<picture>
<img alt="cthu... | {} | neopolita/meta-llama-3-8b-instruct-gguf | null | [
"gguf",
"region:us"
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#gguf #region-us
| # GGUF quants for meta-llama/Meta-Llama-3-8B-Instruct using URL
Terms of Use: Please check the original model
<picture>
<img alt="cthulhu" src="URL
</picture>
## Quants
* 'q2_k': Uses Q4_K for the URL and feed_forward.w2 tensors, Q2_K for the other tensors.
* 'q3_k_s': Uses Q3_K for all tensors
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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": []} | Yasusan/Llama2_240419 | 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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- Model type:
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- License... | [
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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. -->
# rubert-finetuned-ner
This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rube... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "DeepPavlov/rubert-base-cased", "model-index": [{"name": "rubert-finetuned-ner", "results": []}]} | dondosss/rubert-finetuned-ner | null | [
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| rubert-finetuned-ner
====================
This model is a fine-tuned version of DeepPavlov/rubert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1538
* Precision: 0.8891
* Recall: 0.9071
* F1: 0.8980
* Accuracy: 0.9591
Model description
-----------------
Mor... | [
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text-generation | transformers |
## Model Details
- **Model name:** llama3
- **Model version:** 1.0
- **Developed by:** [Development Team or Organization Name]
- **Model type:** [e.g., Machine Translation, Text Classification, etc.]
- **Model framework:** [e.g., TensorFlow, PyTorch, etc.]
- **Training data:** [Description of the dataset(s) used for t... | {"license": "apache-2.0"} | TommyZQ/llama3 | null | [
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|
## Model Details
- Model name: llama3
- Model version: 1.0
- Developed by: [Development Team or Organization Name]
- Model type: [e.g., Machine Translation, Text Classification, etc.]
- Model framework: [e.g., TensorFlow, PyTorch, etc.]
- Training data: [Description of the dataset(s) used for training]
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null | transformers | # Llama3 Model (Spanish) | {"language": ["es"], "license": "bsd-3-clause-clear", "datasets": ["pinzhenchen/alpaca-cleaned-es"]} | SoloBSD/solobsd-llama3 | 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. -->
# SDXL LoRA DreamBooth - Mughees11/gucci_bag_LoRA_1000e
<Gallery />
## Model description
These are Mughees11/gucci_bag_... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of GC bag.", "wi... | Mughees11/gucci_bag_LoRA_1000e | null | [
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|
# SDXL LoRA DreamBooth - Mughees11/gucci_bag_LoRA_1000e
<Gallery />
## Model description
These are Mughees11/gucci_bag_LoRA_1000e LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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text-generation | null | # Meta-Llama-3-8B-Instruct-GGUF
- Original model: [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
<!-... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "GGUF"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"... | LiteLLMs/Meta-Llama-3-8B-Instruct-GGUF | null | [
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| Meta-Llama-3-8B-Instruct-GGUF
=============================
* Original model: Meta-Llama-3-8B-Instruct
Description
-----------
This repo contains GGUF format model files for Meta-Llama-3-8B-Instruct.
### About GGUF
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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. -->
# mistralv1_spectral_r8_7e5_e3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_spectral_r8_7e5_e3", "results": []}]} | fangzhaoz/mistralv1_spectral_r8_7e5_e3 | null | [
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|
# mistralv1_spectral_r8_7e5_e3
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 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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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. -->
# falcon7binstructApril18_n
This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "tiiuae/falcon-7b-instruct", "model-index": [{"name": "falcon7binstructApril18_n", "results": []}]} | Ray011/falcon7binstructApril18_n | null | [
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| falcon7binstructApril18\_n
==========================
This model is a fine-tuned version of tiiuae/falcon-7b-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4165
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
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null | transformers |
# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Llama3-8B-OpenHermes-DPO
Llama3-8B-OpenHermes-DPO is DPO-Finetuned model of Llama3-8B, on the OpenHermes-2.5 preference dataset using QLoRA.
* [meta-llama/Meta-Llama-3-8B](https://huggingface.co... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["DPO", "Llama3-8B"], "datasets": "mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha"} | Muhammad2003/Llama3-8B-OpenHermes-DPO | null | [
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|
# Llama3-8B-OpenHermes-DPO
!image/png
Llama3-8B-OpenHermes-DPO is DPO-Finetuned model of Llama3-8B, on the OpenHermes-2.5 preference dataset using QLoRA.
* meta-llama/Meta-Llama-3-8B
* mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha
</details><br>
## Usage
## Evaluation results
### Coming Soon | [
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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": []} | fangzhaoz/mistralv1_spectral_r8_7e5_e3_merged | null | [
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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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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# legal-bert-lora-no-grad
This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/l... | {"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "nlpaueb/legal-bert-base-uncased", "model-index": [{"name": "legal-bert-lora-no-grad", "results": []}]} | xshubhamx/legal-bert-lora-no-grad | null | [
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| legal-bert-lora-no-grad
=======================
This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
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* Accuracy: 0.8273
* Precision: 0.8270
* Recall: 0.8273
* Precision Macro: 0.7941
* Recall Macro: 0.777... | [
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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": []} | kkanarios/gpt2-tldr-sft | null | [
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# Model Card for Model ID
## Model Details
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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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": []} | heyllm234/sc35 | null | [
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null | null | An example for my first Model on Hugging Face
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license: mit
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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. -->
# whisper-en-tiny
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "whisper-en-tiny", "results": []}]} | niyan115/whisper-en-tiny | null | [
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| whisper-en-tiny
===============
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6270
* Wer: 99.2076
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
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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": []} | Yasusan/Llama2_240419_211 | null | [
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# Model Card for Model ID
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null | null | GGUFs for Hello Nurse 11b - https://huggingface.co/MarsupialAI/HelloNurse-11b
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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?"}]}]} | tahaspc/mistral_finetune_on_conv_data_2 | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
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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": []} | Fighoture/Llama-2-7b-chat-shortgpt-20-percent | null | [
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text-generation | transformers | # LoftQ Initialization
| [Paper](https://arxiv.org/abs/2310.08659) | [Code](https://github.com/yxli2123/LoftQ) | [PEFT Example](https://github.com/huggingface/peft/tree/main/examples/loftq_finetuning) |
LoftQ (LoRA-fine-tuning-aware Quantization) provides a quantized backbone Q and LoRA adapters A and B, given a full... | {"language": ["en"], "license": "mit", "tags": ["quantization", "lora", "loftq", "llama"], "pipeline_tag": "text-generation"} | LoftQ/CodeLlama-13b-hf-4bit-64rank | null | [
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| Paper | Code | PEFT Example |
LoftQ (LoRA-fine-tuning-aware Quantization) provides a quantized backbone Q and LoRA adapters A and B, given a full-precision pre-trained weight W.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### 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": []} | CognitoLibera2/model_s9_7b_03 | null | [
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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. -->
# fineturning-with-pretraining-2
This model is a fine-tuned version of [Aviral2412/mini_model](https://huggingface.co/Aviral2412/m... | {"tags": ["generated_from_trainer"], "datasets": ["common_voice_1_0"], "metrics": ["wer"], "base_model": "Aviral2412/mini_model", "model-index": [{"name": "fineturning-with-pretraining-2", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "common_... | Aviral2412/fineturning-with-pretraining-2 | null | [
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| fineturning-with-pretraining-2
==============================
This model is a fine-tuned version of Aviral2412/mini\_model on the common\_voice\_1\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6209
* Wer: 1.0047
Model description
-----------------
More information needed
Inten... | [
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text-generation | null |
# OLMo-1.7-7b-GGUF
This repo contains GGUF files of the [allenai/OLMo-1.7-7B-hf](https://huggingface.co/allenai/OLMo-1.7-7B-hf) model. These files can be used with [llama.cpp](https://github.com/ggerganov/llama.cpp) or other software like [ollama](https://github.com/ollama/ollama) and [LM Studio](https://lmstudio.ai/... | {"language": ["en"], "license": "apache-2.0", "model_creator": "allenai", "pipeline_tag": "text-generation"} | nopperl/OLMo-1.7-7B-GGUF | null | [
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#gguf #text-generation #en #license-apache-2.0 #region-us
|
# OLMo-1.7-7b-GGUF
This repo contains GGUF files of the allenai/OLMo-1.7-7B-hf model. These files can be used with URL or other software like ollama and LM Studio. Most quanitzation versions are provided.
Note: this is a base model, not an instruction-tuned model. Hence, there is no specified prompt template.
For G... | [
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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": []} | CognitoLibera2/model_s9_7b_04 | null | [
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# Model Card for Model ID
## Model Details
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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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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. -->
# mistralv1_lora_r8_25e5_e1
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mis... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_lora_r8_25e5_e1", "results": []}]} | fangzhaoz/mistralv1_lora_r8_25e5_e1 | null | [
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|
# mistralv1_lora_r8_25e5_e1
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
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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": []} | fangzhaoz/mistralv1_lora_r8_25e5_e1_merged | 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]:
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- License... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [meta-llama/Meta-Llama-3-8B-Instruct](https:... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct", "meta-llama/Meta-Llama-3-8B"]} | mergekit-community/mergekit-slerp-eundxnq | null | [
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] | null | 2024-04-18T21:35:30+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* meta-llama/Meta-Llama-3-8B-Instruct
* meta-llama/Meta-Llama-3-8B
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text-generation | transformers |
# Configurable-LLama-3-8B
❗️ New version of the model at https://huggingface.co/vicgalle/Configurable-Llama-3-8B-v0.3. You'll almost always want to use that one, as it fixes the tokenization isse discussed at the end of this model card.
A configurable Llama-3 fine-tuned using the approach *configurable safety tuning... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["vicgalle/configurable-system-prompt-multitask"]} | vicgalle/Configurable-Llama-3-8B-v0.2 | null | [
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"region:us"
] | null | 2024-04-18T21:39:13+00:00 | [
"2404.00495"
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|
# Configurable-LLama-3-8B
️ New version of the model at URL You'll almost always want to use that one, as it fixes the tokenization isse discussed at the end of this model card.
A configurable Llama-3 fine-tuned using the approach *configurable safety tuning* (CST) from URL over the
vicgalle/configurable-system-pro... | [
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