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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'test'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Luna... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | sdidier-dev/ppo-CartPole-v1 | null | [
"tensorboard",
"LunarLander-v2",
"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
"region:us"
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#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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] |
reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | PaulTbbr/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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image-classification | timm | # Model card for convformer_s36.st_safebooru_1k
## Model Details
- **metrics:**
|Precision|Recall|F1-score|
|-|-|-|
|0.7896779515789215|0.5285537999987988|0.612505557848877|
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | STomoya/convformer_s36.st_safebooru_1k | null | [
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#timm #pytorch #safetensors #image-classification #license-apache-2.0 #region-us
| # Model card for convformer_s36.st_safebooru_1k
## Model Details
- metrics:
|Precision|Recall|F1-score|
|-|-|-|
|0.7896779515789215|0.5285537999987988|0.612505557848877|
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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": []} | yurifacanha/new-llama-tokenizer | null | [
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## Model Details
### Model Description
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text-generation | transformers |
# Gemma Ko 7B Instruct v0.40
- Eval Loss: `1.222`
- lr: `1.5e-5`
- optimizer: adamw
- lr_scheduler_type: cosine
## Model Details
### Model Description
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|
!image/png
# Gemma Ko 7B Instruct v0.40
- Eval Loss: '1.222'
- lr: '1.5e-5'
- optimizer: adamw
- lr_scheduler_type: cosine
## Model Details
### Model Description
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="ArpanSriv/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | ArpanSriv/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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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": []} | lunarsylph/stablecell_v23 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | AlejandroTorresMunoz/ppo-SnowballTarget | null | [
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"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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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. -->
# my_pii_model_bert_large_uncased
This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/go... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-uncased", "model-index": [{"name": "my_pii_model_bert_large_uncased", "results": []}]} | shubhamgantayat/my_pii_model_bert_large_uncased | null | [
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| my\_pii\_model\_bert\_large\_uncased
====================================
This model is a fine-tuned version of google-bert/bert-large-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0005
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": []} | OwOOwO/bomb7 | null | [
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text-generation | transformers | # [MaziyarPanahi/Experiment28M7-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment28M7-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
## Description
[MaziyarPanahi/Experiment28M7-7B-GG... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:yam-peleg/Experiment28-7B", "base_model:liminerity/M7-7b", "license:apache-2.0", "autotrain_compatible", "endpo... | MaziyarPanahi/Experiment28M7-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment28M7-7B
## Description
MaziyarPanahi/Experiment28M7-7B-GGUF contains GGUF format model files for automerger/Experiment28M7-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF m... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | EnricocoChanel/donut-base-sroie | null | [
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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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... | {"language": ["en", "ja"], "license": "wtfpl", "library_name": "transformers", "datasets": ["wikimedia/wikipedia"]} | yuiseki/YuisekinAI-mistral-0.3B | null | [
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text-generation | transformers |
# Albanian GPT-2
## Model Description
This model is a fine-tuned version of the GPT-2 model by [OpenAI](https://openai.com/) for Albanian text generation tasks. GPT-2 is a state-of-the-art natural language processing model developed by OpenAI. It is a variant of the GPT (Generative Pre-trained Transformer) model, pr... | {"language": ["sq", "en"], "license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | DOSaAI/albanian-gpt2-large-120m-instruct-v0.1 | null | [
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# Albanian GPT-2
## Model Description
This model is a fine-tuned version of the GPT-2 model by OpenAI for Albanian text generation tasks. GPT-2 is a state-of-the-art natural language processing model developed by OpenAI. It is a variant of the GPT (Generative Pre-trained Transformer) model, pre-trained on a large co... | [
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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": []} | OwOOwO/dumbo11 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-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 - Gabe-Thomp/path-to-camus-model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The ... | {"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": "a photo of philosophy book"} | Gabe-Thomp/path-to-camus-model | null | [
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|
# DreamBooth - Gabe-Thomp/path-to-camus-model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of philosophy book using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses... | [
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text-generation | transformers | # Model Card for Model ID
## Model Details
### Model Description
| {"library_name": "transformers", "datasets": ["b-mc2/sql-create-context"]} | SaborDay/Gemma-2b-ft-text2sql | null | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | rbkumar5647/donut-base-sroie | null | [
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# song-coherency-classifier
This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "distilbert/distilroberta-base", "model-index": [{"name": "song-coherency-classifier", "results": []}]} | tjl223/song-coherency-classifier | null | [
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| song-coherency-classifier
=========================
This model is a fine-tuned version of distilbert/distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1299
* F1: [0.9763779527559054, 0.9757412398921832]
Model description
-----------------
More informati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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text-generation | transformers | # [MaziyarPanahi/ShadowCalme-7B-GGUF](https://huggingface.co/MaziyarPanahi/ShadowCalme-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/ShadowCalme-7B](https://huggingface.co/automerger/ShadowCalme-7B)
## Description
[MaziyarPanahi/ShadowCalme-7B-GGUF](https://hug... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:CorticalStack/shadow-clown-7B-dare", "base_model:MaziyarPanahi/Calme-7B-Instruct-v0.1.1", "license:apache-2.0",... | MaziyarPanahi/ShadowCalme-7B-GGUF | null | [
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#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #safetensors #text-generation #merge #mergekit #lazymergekit #automerger #base_model-CorticalStack/shadow-clown-7B-dare #base_model-MaziyarPanahi/Calme-7B-Instruct-v0.1.1 #license-apache-2.0 #autotrain_compatible #endpoints_com... | # MaziyarPanahi/ShadowCalme-7B-GGUF
- Model creator: automerger
- Original model: automerger/ShadowCalme-7B
## Description
MaziyarPanahi/ShadowCalme-7B-GGUF contains GGUF format model files for automerger/ShadowCalme-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
### ... | [
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"## Description\nMaziyarPanahi/ShadowCalme-7B-GGUF contains GGUF format model files for automerger/ShadowCalme-7B.",
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text-to-image | diffusers | # Lora_dolly
<Gallery />
## Model description
## Trigger words
You should use `why man` to trigger the image generation.
You should use `qwe cat` to trigger the i... | {"license": "apache-2.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": " (biopunk style, giger style:0.86), gloomy, photo of young dolly fluffy cat, laying on the table, window glass behind, focused, face, white, shinny fur,blue eyes, young body, 8k resol... | EDDIE2541/Lora_dolly_cat | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:runwayml/stable-diffusion-v1-5",
"license:apache-2.0",
"region:us"
] | null | 2024-03-31T19:50:40+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #license-apache-2.0 #region-us
| # Lora_dolly
<Gallery />
## Model description
!URL
## Trigger words
You should use 'why man' to trigger the image generation.
You should use 'qwe cat' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
| [
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"## Model description \n\n\n!URL",
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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": []} | OwOOwO/bomb8 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T19:53:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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 [distilgpt2](https://huggingface.co/distilgpt2) on the eli5_cate... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "distilgpt2", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | jyuwang/my_awesome_eli5_clm-model | null | [
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"text-generation",
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"license:apache-2.0",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of distilgpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.8038
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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text-generation | transformers | ## Use At your own Risk!
4bit gptq (checkpoint_format=gptq) version of dbrx-base-converted-v2
Run:
1. Use PR https://github.com/AutoGPTQ/AutoGPTQ/pull/625
2. Need ~68GB of VRAM (1xA100 80G will do)
3. Use combine_sensors.sh script to combine the two split files into one. HF has max 50GB file size limit.
```json
{
... | {} | LnL-AI/dbrx-base-converted-v2-4bit-gptq-gptq | null | [
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"dbrx",
"text-generation",
"custom_code",
"arxiv:2211.15841",
"arxiv:2304.11277",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-03-31T19:55:33+00:00 | [
"2211.15841",
"2304.11277"
] | [] | TAGS
#transformers #dbrx #text-generation #custom_code #arxiv-2211.15841 #arxiv-2304.11277 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| ## Use At your own Risk!
4bit gptq (checkpoint_format=gptq) version of dbrx-base-converted-v2
Run:
1. Use PR URL
2. Need ~68GB of VRAM (1xA100 80G will do)
3. Use combine_sensors.sh script to combine the two split files into one. HF has max 50GB file size limit.
TODO:
* Add sharding of quantized model so there is n... | [
"## Use At your own Risk!\n\n4bit gptq (checkpoint_format=gptq) version of dbrx-base-converted-v2\n\nRun:\n1. Use PR URL\n2. Need ~68GB of VRAM (1xA100 80G will do)\n3. Use combine_sensors.sh script to combine the two split files into one. HF has max 50GB file size limit.\n\n\nTODO:\n* Add sharding of quantized mod... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711914980278x125540960855824900
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["THEUS/Daken"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1711914980278x125540960855824900 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:THEUS/Daken",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-03-31T19:56:30+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-THEUS/Daken #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1711914980278x125540960855824900
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
"# LoRA DreamBooth - squaadinc/1711914980278x125540960855824900\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-THEUS/Daken #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n",
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text-generation | transformers | # **etri-ones-solar**
## Model Details
**Model Developers**
- the model is fine-tuned by open instruction dataset
**Model Architecture**
- this model is an auto-regressive language model based on the solar transformer architecture.
**Base Model**
- solar https://huggingface.co/upstage/SOLAR-10.7B-v1.0 ... | {"language": ["ko"], "license": "mit", "library_name": "transformers", "datasets": ["instruction"], "pipeline_tag": "text-generation"} | leejaymin/etri-ones-solar | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"dataset:instruction",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-03-31T19:57:59+00:00 | [] | [
"ko"
] | TAGS
#transformers #pytorch #llama #text-generation #ko #dataset-instruction #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| etri-ones-solar
===============
Model Details
-------------
Model Developers
* the model is fine-tuned by open instruction dataset
Model Architecture
* this model is an auto-regressive language model based on the solar transformer architecture.
Base Model
* solar URL
Training Dataset
----------------
... | [] | [
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null | transformers | ## About
static quants of https://huggingface.co/sanjay920/rubra-13b-h
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discus... | {"language": ["en"], "library_name": "transformers", "base_model": "sanjay920/rubra-13b-h", "quantized_by": "mradermacher"} | mradermacher/rubra-13b-h-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:sanjay920/rubra-13b-h",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T19:58:01+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-sanjay920/rubra-13b-h #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-sanjay920/rubra-13b-h #endpoints_compatible #region-us \n"
] | [
34
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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": []} | Mohamad-Jaallouk/cosmo-1b_4bit | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-03-31T20:05:14+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | sdidier-dev/rl_course_vizdoom_health_gathering_supreme | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-03-31T20:07:49+00:00 | [] | [] | TAGS
#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** jhamel
- **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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | jhamel/model-1 | null | [
"transformers",
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"text-generation",
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"unsloth",
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"sft",
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"base_model:unsloth/mistral-7b-bnb-4bit",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T20:08:12+00:00 | [] | [
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|
# Uploaded model
- Developed by: jhamel
- 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"/>
| [
"# Uploaded model\n\n- Developed by: jhamel\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711915814254x176332502099586720
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Shortyzzzz/Ruerer"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1711915814254x176332502099586720 | null | [
"diffusers",
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"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:Shortyzzzz/Ruerer",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
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|
# LoRA DreamBooth - squaadinc/1711915814254x176332502099586720
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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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": [{... | trsdimi/Reinforce-CartPole-v1 | null | [
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|
# 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-to-image | diffusers | # larissa-kimberly
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/MarkBW/larissa-kimberly/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "<lora:LarissaKimberly:1> 1girl, standing pose,", "parameters": {"negative_prompt": "badhandv4, painting, sketch, (worst quality: 2), (low quality: 2), (normal quality: 2), inferior, normal quality, ((monochrome... | MarkBW/larissa-kimberly | null | [
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"region:us"
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #region-us
| # larissa-kimberly
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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] |
text-generation | transformers | # [MaziyarPanahi/NeuralsirkrishnaT3qm7x-7B-GGUF](https://huggingface.co/MaziyarPanahi/NeuralsirkrishnaT3qm7x-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/NeuralsirkrishnaT3qm7x-7B](https://huggingface.co/automerger/NeuralsirkrishnaT3qm7x-7B)
## Description
[Ma... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:Kukedlc/NeuralSirKrishna-7b", "base_model:nlpguy/T3QM7X", "license:apache-2.0", "autotrain_compatible", "endpoi... | MaziyarPanahi/NeuralsirkrishnaT3qm7x-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/NeuralsirkrishnaT3qm7x-7B
## Description
MaziyarPanahi/NeuralsirkrishnaT3qm7x-7B-GGUF contains GGUF format model files for automerger/NeuralsirkrishnaT3qm7x-7B.
## How to use
Thanks to TheBloke for preparing an ama... | [
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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 - Gabe-Thomp/path-to-gabe-model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The w... | {"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": "a photo of human named gabe"} | Gabe-Thomp/path-to-gabe-model | null | [
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|
# DreamBooth - Gabe-Thomp/path-to-gabe-model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of human named gabe using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: True.
## Intended uses ... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | ADG-2353/ppo-Pyramids | null | [
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|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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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": []} | allstax/gemma-2b-it-short-2e | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Ricky080811
- **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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | Ricky080811/Test8 | null | [
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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": []} | cm4ker/mistralai-Code-Instruct-Finetune-test | null | [
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text-generation | transformers | # [MaziyarPanahi/Experiment24Alloyingotneoy-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment24Alloyingotneoy-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment24Alloyingotneoy-7B](https://huggingface.co/automerger/Experiment24Alloyingotneoy-7B)
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"autotrain_compatible",
... | null | 2024-03-31T20:28:52+00:00 | [] | [] | TAGS
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- Model creator: automerger
- Original model: automerger/Experiment24Alloyingotneoy-7B
## Description
MaziyarPanahi/Experiment24Alloyingotneoy-7B-GGUF contains GGUF format model files for automerger/Experiment24Alloyingotneoy-7B.
## How to use
Thanks to TheBloke for ... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | vjagatha/donut-base-sroie | null | [
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"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T20:31:05+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
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text-generation | transformers |
<br>
<br>
# LLaVA-Hound Model Card
## Model details
**Model type:**
LLaVA-Hound is an open-source video large multimodal model, fine-tuned from video instruction following data based on large language model.
This model is the **SFT** version on **image and video instruction dataset** trained from **ShareGPTVideo/... | {"license": "apache-2.0", "inference": false} | ShareGPTVideo/LLaVA-Hound-SFT | null | [
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"safetensors",
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"text-generation",
"license:apache-2.0",
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"region:us"
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#transformers #safetensors #llava_llama #text-generation #license-apache-2.0 #autotrain_compatible #region-us
|
<br>
<br>
# LLaVA-Hound Model Card
## Model details
Model type:
LLaVA-Hound is an open-source video large multimodal model, fine-tuned from video instruction following data based on large language model.
This model is the SFT version on image and video instruction dataset trained from ShareGPTVideo/LLaVA-Hound-Pr... | [
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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": []} | 0x0mom/s_11 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | Over the weekend after a failed initial run I got excited by Pete's success [Jamba Tuning](https://huggingface.co/lightblue/Jamba-v0.1-chat-multilingual) and decided to throw a little compute on a similar-sized dataset (the main [shisa-v1 bilingual tuning set](https://huggingface.co/datasets/augmxnt/ultra-orca-boros-en... | {"language": ["ja", "en"], "license": "apache-2.0", "tags": ["jamba", "axolotl"], "datasets": ["augmxnt/ultra-orca-boros-en-ja-v1"]} | shisa-ai/shisa-jamba-v1-checkpoint-4228 | null | [
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| Over the weekend after a failed initial run I got excited by Pete's success Jamba Tuning and decided to throw a little compute on a similar-sized dataset (the main shisa-v1 bilingual tuning set).
Like my initial runs, training graphs look fine, but the results were less than spectacular.
Here are the JA MT-Bench eval... | [] | [
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] |
text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/01-Yi-6B-layer-mix-bpw-2.2 | null | [
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"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-03-31T20:40:46+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
"# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease refer to our Github page for the code to run the model and more information."
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null | transformers |
# Uploaded model
- **Developed by:** jhamel
- **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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | jhamel/model-unsloth-q4_k_m | null | [
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|
# Uploaded model
- Developed by: jhamel
- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | rpallela/donut-base-sroie | null | [
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"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
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"region:us"
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
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text-generation | transformers |
<br>
<br>
# LLaVA-Hound Model Card
## Model details
**Model type:**
LLaVA-Hound is an open-source video large multimodal model, fine-tuned from video instruction following data based on large language model.
This model is the fine-tuned on **image instruction** and **video caption** trained from **ShareGPTVideo/L... | {"license": "apache-2.0", "inference": false} | ShareGPTVideo/LLaVA-Hound-SFT-Image_only | null | [
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"text-generation",
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"region:us"
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#transformers #safetensors #llava_llama #text-generation #license-apache-2.0 #autotrain_compatible #region-us
|
<br>
<br>
# LLaVA-Hound Model Card
## Model details
Model type:
LLaVA-Hound is an open-source video large multimodal model, fine-tuned from video instruction following data based on large language model.
This model is the fine-tuned on image instruction and video caption trained from ShareGPTVideo/LLaVA-Hound-Pre... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711917890721x994197130862189600
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
TOK
```
Use this keyword to trigger your custom model in your prompts.
LoRA for ... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["squaadinc/Aranha2"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "TOK", "inference": false} | squaadinc/1711917890721x994197130862189600 | null | [
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"region:us"
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|
# LoRA DreamBooth - squaadinc/1711917890721x994197130862189600
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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text-generation | transformers |
<br>
<br>
# LLaVA-Hound Model Card
## Model details
**Model type:**
LLaVA-Hound is an open-source video large multimodal model, fine-tuned from video instruction following data based on large language model.
This model is trained with **DPO** from **17k video instruction preference** dataset from **ShareGPTVideo/... | {"license": "apache-2.0", "inference": false} | ShareGPTVideo/LLaVA-Hound-DPO | null | [
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"llava_llama",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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#transformers #safetensors #llava_llama #text-generation #license-apache-2.0 #autotrain_compatible #region-us
|
<br>
<br>
# LLaVA-Hound Model Card
## Model details
Model type:
LLaVA-Hound is an open-source video large multimodal model, fine-tuned from video instruction following data based on large language model.
This model is trained with DPO from 17k video instruction preference dataset from ShareGPTVideo/LLaVA-Hound-SF... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/01-Yi-6B-layer-mix-bpw-3.0 | null | [
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| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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text-generation | peft |
# Model Card for molbal/scifistral-7b
Short response, text completion model trained in sci-fi writing.
## Model Details
This is a text completion model, designed to advance a story a few lines at a time. The model has general sci-fi context (primary purpose) and likes writing conver... | {"language": ["en"], "license": "wtfpl", "library_name": "peft", "base_model": "unsloth/mistral-7b-bnb-4bit", "pipeline_tag": "text-generation"} | molbal/scifistral-7b | null | [
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#peft #gguf #text-generation #en #base_model-unsloth/mistral-7b-bnb-4bit #license-wtfpl #region-us
|
# Model Card for molbal/scifistral-7b
Short response, text completion model trained in sci-fi writing.
!Drag Racing
## Model Details
This is a text completion model, designed to advance a story a few lines at a time. The model has general sci-fi context (primary purpose) and likes writing conversations.
- Develo... | [
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automatic-speech-recognition | espnet |
## ESPnet2 ASR model
### `akreal/bloomzmms-ctc`
This model was trained by Pavel Denisov using fleurs recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
if you haven't done that alrea... | {"language": "multilingual", "license": "cc-by-4.0", "tags": ["espnet", "audio", "automatic-speech-recognition"], "datasets": ["fleurs"]} | akreal/bloomzmms-ctc | null | [
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"automatic-speech-recognition",
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#espnet #audio #automatic-speech-recognition #multilingual #dataset-fleurs #arxiv-1804.00015 #license-cc-by-4.0 #region-us
|
## ESPnet2 ASR model
### 'akreal/bloomzmms-ctc'
This model was trained by Pavel Denisov using fleurs recipe in espnet.
### Demo: How to use in ESPnet2
Follow the ESPnet installation instructions
if you haven't done that already.
## ASR config
<details><summary>expand</summary>
</details>
### Citing ESPn... | [
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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", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PL... | trsdimi/Reinforce-PixelCopter | null | [
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"reinforcement-learning",
"custom-implementation",
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"model-index",
"region:us"
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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video-classification | transformers |
# VideoMAE finetuned for shot scale classification
**videomae-base-finetuned-kinetics** model finetuned to classify shot scale into five classes: *ECS (Extreme close-up shot), CS (close-up shot), MS (medium shot), FS (full shot), LS (long shot)*
[Movienet](https://movienet.github.io/projects/eccv20shot.html) dataset... | {"license": "mit", "library_name": "transformers", "tags": ["shot type", "shot scale", "movienet", "movieshots", "video classification"], "metrics": ["accuracy", "f1"], "pipeline_tag": "video-classification"} | gullalc/videomae-base-finetuned-kinetics-movieshots-scale | null | [
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"region:us"
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#transformers #safetensors #videomae #video-classification #shot type #shot scale #movienet #movieshots #video classification #license-mit #endpoints_compatible #region-us
|
# VideoMAE finetuned for shot scale classification
videomae-base-finetuned-kinetics model finetuned to classify shot scale into five classes: *ECS (Extreme close-up shot), CS (close-up shot), MS (medium shot), FS (full shot), LS (long shot)*
Movienet dataset is used for finetuning the model for 5 epochs. *v1_split_t... | [
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text-generation | transformers | # [MaziyarPanahi/Strangemerges_32T3q-7B-GGUF](https://huggingface.co/MaziyarPanahi/Strangemerges_32T3q-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Strangemerges_32T3q-7B](https://huggingface.co/automerger/Strangemerges_32T3q-7B)
## Description
[MaziyarPanahi/... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:chihoonlee10/T3Q-Mistral-Orca-Math-DPO", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", ... | MaziyarPanahi/Strangemerges_32T3q-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Strangemerges_32T3q-7B
## Description
MaziyarPanahi/Strangemerges_32T3q-7B-GGUF contains GGUF format model files for automerger/Strangemerges_32T3q-7B.
## How to use
Thanks to TheBloke for preparing an amazing README ... | [
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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_CartPolev1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"... | siemr/Reinforce_CartPolev1 | null | [
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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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video-classification | transformers |
# VideoMAE finetuned for shot scale and movement classification
**videomae-base-finetuned-kinetics** model finetuned to classify:
- *shot scale* into five classes: *ECS (Extreme close-up shot), CS (close-up shot), MS (medium shot), FS (full shot), LS (long shot)*
- *shot movement* into four classes: *Static, Motion, ... | {"license": "mit", "library_name": "transformers", "tags": ["shot type", "shot scale", "shot movement", "camera movement", "video classification", "movienet"], "metrics": ["accuracy", "f1"], "pipeline_tag": "video-classification"} | gullalc/videomae-base-finetuned-kinetics-movieshots-multitask | null | [
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"movienet",
"video-classification",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T20:56:26+00:00 | [] | [] | TAGS
#transformers #safetensors #videomae #shot type #shot scale #shot movement #camera movement #video classification #movienet #video-classification #license-mit #endpoints_compatible #region-us
|
# VideoMAE finetuned for shot scale and movement classification
videomae-base-finetuned-kinetics model finetuned to classify:
- *shot scale* into five classes: *ECS (Extreme close-up shot), CS (close-up shot), MS (medium shot), FS (full shot), LS (long shot)*
- *shot movement* into four classes: *Static, Motion, Pull... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | peshwa/donut-base-sroie | null | [
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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video-classification | transformers |
# VideoMAE finetuned for shot movement classification
**videomae-base-finetuned-kinetics** model finetuned to classify shot movement into five classes: *Static, Motion, Pull, Push*
[Movienet](https://movienet.github.io/projects/eccv20shot.html) dataset is used for finetuning the model for 5 epochs. *v1_split_trailer... | {"license": "mit", "library_name": "transformers", "tags": ["shot type", "movienet", "movieshots", "video classification", "camera movement", "shot movement"], "metrics": ["accuracy", "f1"], "pipeline_tag": "video-classification"} | gullalc/videomae-base-finetuned-kinetics-movieshots-movement | null | [
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|
# VideoMAE finetuned for shot movement classification
videomae-base-finetuned-kinetics model finetuned to classify shot movement into five classes: *Static, Motion, Pull, Push*
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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. -->
# MedRuRobertaLargeMinus
This model is a fine-tuned version of [DmitryPogrebnoy/MedRuRobertaLarge](https://huggingface.co/DmitryPo... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "DmitryPogrebnoy/MedRuRobertaLarge", "model-index": [{"name": "MedRuRobertaLargeMinus", "results": []}]} | DimasikKurd/MedRuRobertaLargeMinus | null | [
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| MedRuRobertaLargeMinus
======================
This model is a fine-tuned version of DmitryPogrebnoy/MedRuRobertaLarge on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5014
* Precision: 0.4934
* Recall: 0.6435
* F1: 0.5585
* Accuracy: 0.9068
Model description
----------------... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | Nihith27/unit1 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-03-31T21:09:25+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="Nihith27/unit2", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=Fal... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "unit2", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- 2.... | Nihith27/unit2 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#Taxi-v3 #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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] |
null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | ashikshaffi08/mistral_7b_completel_2_epoch | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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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. -->
# ryan03312024_lr_2e-5_wd_001_v2
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "ryan03312024_lr_2e-5_wd_001_v2", "results": []}]} | rshrott/ryan03312024_lr_2e-5_wd_001_v2 | null | [
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| ryan03312024\_lr\_2e-5\_wd\_001\_v2
===================================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the properties dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1914
* Ordinal Mae: 0.4198
* Ordinal Accuracy: 0.6843
* Na Accuracy: 0.8505
... | [
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text-generation | transformers | # [MaziyarPanahi/Ognoexperiment27Multi_verse_model-7B-GGUF](https://huggingface.co/MaziyarPanahi/Ognoexperiment27Multi_verse_model-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Ognoexperiment27Multi_verse_model-7B](https://huggingface.co/automerger/Ognoexperimen... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:ammarali32/multi_verse_model", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-gene... | MaziyarPanahi/Ognoexperiment27Multi_verse_model-7B-GGUF | null | [
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"autotrain_compati... | null | 2024-03-31T21:18:23+00:00 | [] | [] | TAGS
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- Model creator: automerger
- Original model: automerger/Ognoexperiment27Multi_verse_model-7B
## Description
MaziyarPanahi/Ognoexperiment27Multi_verse_model-7B-GGUF contains GGUF format model files for automerger/Ognoexperiment27Multi_verse_model-7B.
## How to... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | siemr/ppo-SnowballTarget | null | [
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"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
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] | null | 2024-03-31T21:19:05+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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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. -->
# MetaIE
This is a meta-model distilled from ChatGPT-3.5-turbo for information extraction. This is an intermediate checkpoint that... | {"language": ["en"], "license": "mit", "datasets": ["KomeijiForce/MetaIE-Pretrain"], "metrics": ["f1"], "base_model": "roberta-large", "pipeline_tag": "token-classification"} | KomeijiForce/roberta-large-metaie | null | [
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"token-classification",
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"dataset:KomeijiForce/MetaIE-Pretrain",
"base_model:roberta-large",
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] | null | 2024-03-31T21:29:40+00:00 | [] | [
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] | TAGS
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|
# MetaIE
This is a meta-model distilled from ChatGPT-3.5-turbo for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks. This model can also be tested by different label-to-span matching as shown in the following example:
... | [
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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": []} | DBangshu/gemma_fine_ensemble | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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automatic-speech-recognition | espnet |
## ESPnet2 ASR model
### `akreal/bloomzmms-aed-t`
This model was trained by Pavel Denisov using fleurs recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
if you haven't done that alr... | {"language": "multilingual", "license": "cc-by-4.0", "tags": ["espnet", "audio", "automatic-speech-recognition"], "datasets": ["fleurs"]} | akreal/bloomzmms-ce-t | null | [
"espnet",
"audio",
"automatic-speech-recognition",
"multilingual",
"dataset:fleurs",
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"license:cc-by-4.0",
"region:us"
] | null | 2024-03-31T21:31:23+00:00 | [
"1804.00015"
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"multilingual"
] | TAGS
#espnet #audio #automatic-speech-recognition #multilingual #dataset-fleurs #arxiv-1804.00015 #license-cc-by-4.0 #region-us
|
## ESPnet2 ASR model
### 'akreal/bloomzmms-aed-t'
This model was trained by Pavel Denisov using fleurs recipe in espnet.
### Demo: How to use in ESPnet2
Follow the ESPnet installation instructions
if you haven't done that already.
## ASR config
<details><summary>expand</summary>
</details>
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711920760997x359268040871694160
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Shortyzzzz/JusticiceL"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1711920760997x359268040871694160 | null | [
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|
# LoRA DreamBooth - squaadinc/1711920760997x359268040871694160
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
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text-generation | transformers | # [MaziyarPanahi/T3qm7xExperiment28-7B-GGUF](https://huggingface.co/MaziyarPanahi/T3qm7xExperiment28-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/T3qm7xExperiment28-7B](https://huggingface.co/automerger/T3qm7xExperiment28-7B)
## Description
[MaziyarPanahi/T3qm... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:yam-peleg/Experiment28-7B", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generat... | MaziyarPanahi/T3qm7xExperiment28-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/T3qm7xExperiment28-7B
## Description
MaziyarPanahi/T3qm7xExperiment28-7B-GGUF contains GGUF format model files for automerger/T3qm7xExperiment28-7B.
## How to use
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automatic-speech-recognition | espnet |
## ESPnet2 ASR model
### `akreal/bloomzmms-tmi`
This model was trained by Pavel Denisov using fleurs recipe in [espnet](https://github.com/espnet/espnet/).
### Demo: How to use in ESPnet2
Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
if you haven't done that alrea... | {"language": "multilingual", "license": "cc-by-4.0", "tags": ["espnet", "audio", "automatic-speech-recognition"], "datasets": ["fleurs"]} | akreal/bloomzmms-ce-tmi | null | [
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|
## ESPnet2 ASR model
### 'akreal/bloomzmms-tmi'
This model was trained by Pavel Denisov using fleurs recipe in espnet.
### Demo: How to use in ESPnet2
Follow the ESPnet installation instructions
if you haven't done that already.
## ASR config
<details><summary>expand</summary>
</details>
### Citing ESPn... | [
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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
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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translation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# my_pii_model_gpt2
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "openai-community/gpt2", "model-index": [{"name": "my_pii_model_gpt2", "results": []}]} | shubhamgantayat/my_pii_model_gpt2 | null | [
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| my\_pii\_model\_gpt2
====================
This model is a fine-tuned version of openai-community/gpt2 on the None dataset.
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Model description
-----------------
More information needed
Intended uses & limitations
---------------------------... | [
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null | transformers |
# Uploaded model
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- **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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | jhamel/lora_model_chief_engineer_1 | null | [
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# Uploaded model
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<img src="URL width="200"/>
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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null | transformers | ## About
static quants of https://huggingface.co/Joseph717171/Tess-10.7B-v2.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Joseph717171/Tess-10.7B-v2.0", "quantized_by": "mradermacher"} | mradermacher/Tess-10.7B-v2.0-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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": []} | lhallee/copd_single | null | [
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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": []} | 0x0son0/m_301 | null | [
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token-classification | transformers | # Named Entity Recognition for Ancient Greek
Pretrained NER tagging model for ancient Greek
# Data
We trained the models on available annotated corpora in Ancient Greek.
There are only two sizeable annotated datasets in Ancient Greek, which are currently un- der release: the first one by Berti 2023,
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| Named Entity Recognition for Ancient Greek
==========================================
Pretrained NER tagging model for ancient Greek
Data
====
We trained the models on available annotated corpora in Ancient Greek.
There are only two sizeable annotated datasets in Ancient Greek, which are currently un- der release... | [
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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": []} | lhallee/cvd_single | null | [
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and NousResearch
# Hermes-2-Pro-Mistral-10.7B
This is Hermes-2-Pro-Mistral-10.7B, a depth-upscaled version of [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B).
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# Credit for the model card's description goes to ddh0, mergekit, and NousResearch
# Hermes-2-Pro-Mistral-10.7B
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null | null |
# GPT-2 Large
## Model Description
This model is the GPT-2 large model developed by OpenAI. GPT-2 (Generative Pre-trained Transformer 2) is a state-of-the-art natural language processing model known for its ability to generate coherent and contextually relevant text based on a given input prompt. The large variant o... | {"language": "en"} | DOSaAI/gpt2-large | null | [
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# GPT-2 Large
## Model Description
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null | transformers |
# Model Card for Model ID
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711922297101x631172506567323000
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
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Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["RickGrimes001/iluminate"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1711922297101x631172506567323000 | null | [
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# LoRA DreamBooth - squaadinc/1711922297101x631172506567323000
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
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text-generation | transformers |
# Mistral-portuguese-luana-7b
<p align="center">
<img src="https://raw.githubusercontent.com/rhaymisonbetini/huggphotos/main/13b.webp" width="50%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>
This model was trained with a superset of 200,000 instructions in Portuguese.
The model comes to... | {"language": ["pt"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Misral", "Portuguese", "7b"], "datasets": ["pablo-moreira/gpt4all-j-prompt-generations-pt", "rhaymison/superset"], "base_model": "meta-llama/Llama-2-13b-chat-hf", "pipeline_tag": "text-generation", "model-index": [{"name": "Llama-po... | rhaymison/Llama-portuguese-13b-Luana-v0.2 | null | [
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===========================
This model was trained with a superset of 200,000 instructions in Portuguese.
The model comes to help fill the gap in models in Portuguese. Tuned from the Llama 2 13b in Portuguese, the model was adjusted mainly for instructional tasks.
The m... | [
"### Comments\n\n\nAny idea, help or report will always be welcome.\n\n\nemail: rhaymisoncristian@URL\n\n\n\n[\n <img src=\"URL\n </a>](URL target=)"
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text-generation | transformers | # [MaziyarPanahi/Experiment24Ognoexperiment27-7B-GGUF](https://huggingface.co/MaziyarPanahi/Experiment24Ognoexperiment27-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Experiment24Ognoexperiment27-7B](https://huggingface.co/automerger/Experiment24Ognoexperiment27... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:automerger/OgnoExperiment27-7B", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-ge... | MaziyarPanahi/Experiment24Ognoexperiment27-7B-GGUF | null | [
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- Model creator: automerger
- Original model: automerger/Experiment24Ognoexperiment27-7B
## Description
MaziyarPanahi/Experiment24Ognoexperiment27-7B-GGUF contains GGUF format model files for automerger/Experiment24Ognoexperiment27-7B.
## How to use
Thanks to TheBl... | [
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token-classification | transformers | # Named Entity Recognition for Ancient Greek
Pretrained NER tagging model for ancient Greek
# Data
We trained the models on available annotated corpora in Ancient Greek.
There are only two sizeable annotated datasets in Ancient Greek, which are currently un- der release: the first one by Berti 2023,
consists of a... | {"language": ["grc"], "tags": ["token-classification"], "base_model": ["pranaydeeps/Ancient-Greek-BERT"], "inference": {"parameters": {"aggregation_strategy": "first"}}, "widget": [{"text": "\u03c4\u03b1\u1fe6\u03c4\u03b1 \u03b5\u1f34\u03c0\u03b1\u03c2 \u1f41 \u1f08\u03bb\u03ad\u03be\u03b1\u03bd\u03b4\u03c1\u03bf\u03c2... | UGARIT/grc-ner-bert | null | [
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| Named Entity Recognition for Ancient Greek
==========================================
Pretrained NER tagging model for ancient Greek
Data
====
We trained the models on available annotated corpora in Ancient Greek.
There are only two sizeable annotated datasets in Ancient Greek, which are currently un- der release... | [
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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
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text-generation | transformers |
# Uploaded model
- **Developed by:** rabi3333
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | rabi3333/gemma-7b-test | null | [
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|
# Uploaded model
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "reward-trainer"]} | virtualvoidsteve/code_correction_classifier_model_2305 | 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 | transformers |
# Model Card for Model ID
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | Janmayen/my_awesome_qa_model | null | [
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| my\_awesome\_qa\_model
======================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0445
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and NousResearch
# Hermes-2-Pro-Mistral-10.7B
This is Hermes-2-Pro-Mistral-10.7B, a depth-upscaled version of [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B).
This model is intended to be used as a b... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "Mistral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistralai/Mistral-7B-... | blockblockblock/Hermes-2-Pro-Mistral-10.7B-bpw3 | null | [
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# Credit for the model card's description goes to ddh0, mergekit, and NousResearch
# Hermes-2-Pro-Mistral-10.7B
This is Hermes-2-Pro-Mistral-10.7B, a depth-upscaled version of NousResearch/Hermes-2-Pro-Mistral-7B.
This model is intended to be used as a basis for further fine-tuning, or as a drop-in upgrade from the ... | [
"# Credit for the model card's description goes to ddh0, mergekit, and NousResearch",
"# Hermes-2-Pro-Mistral-10.7B\n\nThis is Hermes-2-Pro-Mistral-10.7B, a depth-upscaled version of NousResearch/Hermes-2-Pro-Mistral-7B.\n\nThis model is intended to be used as a basis for further fine-tuning, or as a drop-in upgr... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #Mistral #instruct #finetune #chatml #DPO #RLHF #gpt4 #synthetic data #distillation #function calling #json mode #conversational #en #dataset-teknium/OpenHermes-2.5 #arxiv-2312.15166 #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #Mistral #instruct #finetune #chatml #DPO #RLHF #gpt4 #synthetic data #distillation #function calling #json mode #conversational #en #dataset-teknium/OpenHermes-2.5 #arxiv-2312.15166 #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.... |
reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | DiegoT200/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-03-31T22:12:58+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nT... | [
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"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add you... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/lapmn4r | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-03-31T22:13:49+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
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"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
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