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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": []} | selvamathan-rampedup/RampedUp-Mistral-7B-v0.6.1.1.2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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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": []} | Edgar404/donut-shivi-cheques_pruning_l1_0.05 | 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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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distral-7b-v1
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "distral-7b-v1", "results": []}]} | ale-bay/distral-7b-v1 | null | [
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"region:us"
] | null | 2024-04-23T10:30:27+00:00 | [] | [] | TAGS
#peft #safetensors #mistral #trl #dft #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #4-bit #region-us
|
# distral-7b-v1
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
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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... | dasayantan/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-23T10:30:41+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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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TheBossLevel123/ToxicLlama3-8B-Float16
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "TheBossLevel123/ToxicLlama3-8B-Float16", "quantized_by": "mradermacher"} | mradermacher/ToxicLlama3-8B-Float16-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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] |
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. -->
# modelofine4
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-ai... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "modelofine4", "results": []}]} | adriansanz/modelofine4 | null | [
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"roberta",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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|
# modelofine4
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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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. -->
# Meta-Llama-3-8B-Instruct_fictional_French_v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https:/... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_French_v1", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_French_v1 | null | [
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"text-generation-inf... | null | 2024-04-23T10:35:49+00:00 | [] | [] | TAGS
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|
# Meta-Llama-3-8B-Instruct_fictional_French_v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tra... | [
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"## Intended uses & limitations\n\nMore information needed",
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | Alvaroooooooo/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-23T10:35:56+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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null | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | cheungra/ocularaid-diffusion-M | null | [
"diffusers",
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"1910.09700"
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#diffusers #safetensors #arxiv-1910.09700 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers 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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null | transformers |
# Llama3 Amharic DPO
[Amharic Llama3 8B Alpaca](simonbutt/am_llama3_alpaca) further DPO tuned on an amharic translated dolly-15k [dataset](https://huggingface.co/datasets/iocuydi/amharic-dolly-15k) to always respond in Amharic.
Very token inefficient.
- **Developed by:** simonbutt
- **License:** apache-2.0
- **Fin... | {"language": ["en", "am"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "datasets": ["iocuydi/amharic-alpaca", "iocuydi/amharic-dolly-15k"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | simonbutt/am_llama3_dpo | null | [
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|
# Llama3 Amharic DPO
Amharic Llama3 8B Alpaca further DPO tuned on an amharic translated dolly-15k dataset to always respond in Amharic.
Very token inefficient.
- Developed by: simonbutt
- License: apache-2.0
- Finetuned from model:
- unsloth/llama-3-8b-bnb-4bit
- simonbutt/am_llama3_alpaca
<img src="URL ... | [
"# Llama3 Amharic DPO\n\nAmharic Llama3 8B Alpaca further DPO tuned on an amharic translated dolly-15k dataset to always respond in Amharic.\n\nVery token inefficient. \n\n- Developed by: simonbutt\n- License: apache-2.0\n- Finetuned from model:\n - unsloth/llama-3-8b-bnb-4bit\n - simonbutt/am_llama3_alpaca\n... | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | MiVaCod/xray-image-classification-final | null | [
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#fastai #has_space #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
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null | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | cheungra/ocularaid-scheduler-M | null | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-cartpole", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"ty... | bhutchings/Reinforce-cartpole | 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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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.0_Seed103 | null | [
"peft",
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Aleatoric_tiny_0.0_Seed103 | null | [
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
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# Model Card for Model ID
## Model Details
### Model Description
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text-generation | transformers | # BioMistral-NS
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Kukedlc/NeuralSynthesis-7... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["BioMistral/BioMistral-7B-DARE", "Kukedlc/NeuralSynthesis-7B-v0.1"]} | BioMistral/BioMistral-DARE-NS | null | [
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"text-ge... | null | 2024-04-23T10:45:21+00:00 | [
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| # BioMistral-NS
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using Kukedlc/NeuralSynthesis-7B-v0.1 as a base.
### Models Merged
The following models were included in the merge:
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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="Licwit/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attr... | {"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": ... | Licwit/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": ["unsloth", "trl", "sft"]} | m4tthew23/reporttable_to_html | null | [
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#transformers #pytorch #llama #text-generation #unsloth #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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audio-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. -->
# wav2vec_base_crema_sentiment_analysis
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/face... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec_base_crema_sentiment_analysis", "results": []}]} | Piyush2512/wav2vec_base_crema_sentiment_analysis | null | [
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#transformers #tensorboard #safetensors #wav2vec2 #audio-classification #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| wav2vec\_base\_crema\_sentiment\_analysis
=========================================
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Top3 Accuracy: 0.9450
* Loss: 0.8840
* Accuracy: 0.7087
Model description
-------------... | [
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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. -->
# modelofinenew
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "modelofinenew", "results": []}]} | adriansanz/modelofinenew | null | [
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| modelofinenew
=============
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2185
* Accuracy: 0.5126
* F1: 0.5338
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 20\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4`](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Ref... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["biology", "legal", "not-for-all-audiences", "medical", "chemistry", "moe", "merge", "music", "Cyber-Series", "Mixture-Of-Experts", "llama-cpp", "gguf-my-repo"]} | LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4-Q4_K_M-GGUF | null | [
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|
# LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or ... | [
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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": []} | Likich/wizardlm2-finetune-qualcoding | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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": []} | Grayx/sad_llama_30 | null | [
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"region:us"
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="Licwit/Taximodel", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taximodel", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/... | Licwit/Taximodel | null | [
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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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": []} | team-sanai/unigram_bf_4cat_32000 | 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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- License... | [
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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"]} | ProrabVasili/ppo-PyramidsRND | null | [
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#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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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. -->
# CNEC_1_1_Supertypes_robeczech-base
This model is a fine-tuned version of [ufal/robeczech-base](https://huggingface.co/ufal/robec... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["cnec"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "ufal/robeczech-base", "model-index": [{"name": "CNEC_1_1_Supertypes_robeczech-base", "results": [{"task": {"type": "token-classification", "name": "Token Classifi... | stulcrad/CNEC_1_1_Supertypes_robeczech-base | null | [
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| CNEC\_1\_1\_Supertypes\_robeczech-base
======================================
This model is a fine-tuned version of ufal/robeczech-base on the cnec dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2799
* Precision: 0.8446
* Recall: 0.8912
* F1: 0.8673
* Accuracy: 0.9518
Model descriptio... | [
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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": []} | javijer/llama2_alpaca_7b | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Edgar404/donut-shivi-cheques_pruning_l1_0.1 | null | [
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null | keras | # Collection shoaib6174/video_swin_transformer/1
Collection of Video Swin Transformers feature extractor models.
<!-- task: video-feature-extraction -->
## Overview
This collection contains different Video Swin Transformer [1] models. The original model weights are provided from [2]. There were ported to Keras mod... | {"license": "other", "library_name": "keras"} | Tonic/video-swin-transformer | null | [
"keras",
"arxiv:2106.13230",
"license:other",
"region:us"
] | null | 2024-04-23T10:55:32+00:00 | [
"2106.13230"
] | [] | TAGS
#keras #arxiv-2106.13230 #license-other #region-us
| Collection shoaib6174/video\_swin\_transformer/1
================================================
Collection of Video Swin Transformers feature extractor models.
Overview
--------
This collection contains different Video Swin Transformer [1] models. The original model weights are provided from [2]. There were por... | [
"### Video Swin Transformer Feature extractors Models\n\n\n* swin\\_tiny\\_patch244\\_window877\\_kinetics400\\_1k\n* swin\\_small\\_patch244\\_window877\\_kinetics400\\_1k\n* swin\\_base\\_patch244\\_window877\\_kinetics400\\_1k\n* swin\\_base\\_patch244\\_window877\\_kinetics400\\_22k\n* swin\\_base\\_patch244\\_... | [
"TAGS\n#keras #arxiv-2106.13230 #license-other #region-us \n",
"### Video Swin Transformer Feature extractors Models\n\n\n* swin\\_tiny\\_patch244\\_window877\\_kinetics400\\_1k\n* swin\\_small\\_patch244\\_window877\\_kinetics400\\_1k\n* swin\\_base\\_patch244\\_window877\\_kinetics400\\_1k\n* swin\\_base\\_patc... | [
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"TAGS\n#keras #arxiv-2106.13230 #license-other #region-us \n### Video Swin Transformer Feature extractors Models\n\n\n* swin\\_tiny\\_patch244\\_window877\\_kinetics400\\_1k\n* swin\\_small\\_patch244\\_window877\\_kinetics400\\_1k\n* swin\\_base\\_patch244\\_window877\\_kinetics400\\_1k\n* swin\\_base\\_patch244\\... |
null | keras |
## Description
* **Year**: 2022
* **Organisation**: [TensorFlow](https://www.tensorflow.org/)
* **Project Title**: Publish fine-tuned MobileViT in TensorFlow Hub
TensorFlow Hub is the main TensorFlow model repository with thousands of pre-trained models with documentation, sample code and readily available to use or... | {"license": "other", "library_name": "keras"} | Tonic/mobile-vit | null | [
"keras",
"arxiv:2110.02178",
"license:other",
"region:us"
] | null | 2024-04-23T10:57:11+00:00 | [
"2110.02178"
] | [] | TAGS
#keras #arxiv-2110.02178 #license-other #region-us
| Description
-----------
* Year: 2022
* Organisation: TensorFlow
* Project Title: Publish fine-tuned MobileViT in TensorFlow Hub
TensorFlow Hub is the main TensorFlow model repository with thousands of pre-trained models with documentation, sample code and readily available to use or fine-tune. The idea behind the pro... | [
"### Pre-trained models:\n\n\n* Off-the-shelf classification: Colab Notebook\n* Fine-tuning: Colab Notebook",
"### Randomly initialized models:\n\n\nTo view different model configurations, refer here.\n\n\nUpcoming Contributions\n----------------------\n\n\n* [ ] Allow the models to accept more input shapes (usef... | [
"TAGS\n#keras #arxiv-2110.02178 #license-other #region-us \n",
"### Pre-trained models:\n\n\n* Off-the-shelf classification: Colab Notebook\n* Fine-tuning: Colab Notebook",
"### Randomly initialized models:\n\n\nTo view different model configurations, refer here.\n\n\nUpcoming Contributions\n-------------------... | [
23,
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"TAGS\n#keras #arxiv-2110.02178 #license-other #region-us \n### Pre-trained models:\n\n\n* Off-the-shelf classification: Colab Notebook\n* Fine-tuning: Colab Notebook### Randomly initialized models:\n\n\nTo view different model configurations, refer here.\n\n\nUpcoming Contributions\n----------------------\n\n\n* [... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Zangs3011/quantize_push | null | [
"transformers",
"safetensors",
"opt",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-23T10:57:12+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #opt #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #opt #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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"## Model Details",
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null | transformers |
# LeroyDyer/Mixtral_AI_CyberBrain_Coder_1x2-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberBrain_Coder_1x2`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberBrain_Coder_1x2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) spac... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "merge", "sft ", "trl", "law ", "code", "cyber", "medical", "bio", "Cyber-Series", "Mixture-Of-Experts", "llama-cpp", "gguf-my-repo"]} | LeroyDyer/Mixtral_AI_CyberBrain_Coder_1x2-Q4_K_M-GGUF | null | [
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"en"
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#transformers #gguf #moe #merge #sft #trl #law #code #cyber #medical #bio #Cyber-Series #Mixture-Of-Experts #llama-cpp #gguf-my-repo #en #license-apache-2.0 #endpoints_compatible #region-us
|
# LeroyDyer/Mixtral_AI_CyberBrain_Coder_1x2-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberBrain_Coder_1x2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server... | [
"# LeroyDyer/Mixtral_AI_CyberBrain_Coder_1x2-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberBrain_Coder_1x2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvok... | [
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"# LeroyDyer/Mixtral_AI_CyberBrain_Coder_1x2-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'LeroyD... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Chickaboo/Chicka-Mistral-3x7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["merge", "mergekit", "mistral", "moe", "conversational"], "base_model": "Chickaboo/Chicka-Mistral-3x7b", "quantized_by": "mradermacher"} | mradermacher/Chicka-Mistral-3x7b-GGUF | null | [
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"conversational",
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"base_model:Chickaboo/Chicka-Mistral-3x7b",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T10:57:17+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #mistral #moe #conversational #en #base_model-Chickaboo/Chicka-Mistral-3x7b #license-mit #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers | [Llama 3 8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) finetuned on [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k) with [ORPO](https://arxiv.org/abs/2403.07691).\
Max length was reduced to 1024 tokens. LoRA (r=16) and 4bit quantization was used to increase memory efficie... | {"license": "llama3"} | Z3R6X/Llama-3-8B-ORPO-V1 | null | [
"transformers",
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"llama",
"text-generation",
"conversational",
"arxiv:2403.07691",
"license:llama3",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T10:59:12+00:00 | [
"2403.07691"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-2403.07691 #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Llama 3 8B finetuned on mlabonne/orpo-dpo-mix-40k with ORPO.
Max length was reduced to 1024 tokens. LoRA (r=16) and 4bit quantization was used to increase memory efficiency.
| [] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-2403.07691 #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
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] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# opt-350m
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended ... | {"tags": ["trl", "reward-trainer", "reward", "generated_from_trainer"], "model-index": [{"name": "opt-350m", "results": []}]} | thobauma/opt-350m | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T10:59:16+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #opt #text-classification #trl #reward-trainer #reward #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# opt-350m
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters ... | [
"# opt-350m\n\nThis model was trained from scratch on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Training hyperparameters\n... | [
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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": []} | nem012/gemma2b-r64-v1m | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T10:59:26+00:00 | [
"1910.09700"
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#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #gemma #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
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text-generation | transformers |
## About Quantization
我们使用modelscope [swift](https://github.com/modelscope/swift/)仓库进行GPTQ量化. 量化文档可以查看[这里](https://github.com/modelscope/swift/blob/main/docs/source/LLM/LLM%E9%87%8F%E5%8C%96%E6%96%87%E6%A1%A3.md). 量化命令如下:
We use the modelscope [swift](https://github.com/modelscope/swift/) repository to perform GPTQ q... | {"language": ["en"], "license": "other", "tags": ["gptq", "int8", "llama3", "facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: ... | study-hjt/Meta-Llama-3-70B-Instruct-GPTQ-Int8 | null | [
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-23T10:59:27+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #gptq #int8 #llama3 #facebook #meta #pytorch #llama-3 #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| About Quantization
------------------
我们使用modelscope swift仓库进行GPTQ量化. 量化文档可以查看这里. 量化命令如下:
We use the modelscope swift repository to perform GPTQ quantization. Quantization documentation can be found here. The quantization command is as follows:
Inference:
SFT:
Model Details
-------------
Meta developed and ... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
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"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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null | keras | # MIRNet
[](https://share.streamlit.io/soumik12345/mirnet/app.py)
Tensorflow implementation of the MIRNet architecture as proposed by [Learning Enriched Features for Real Image
Restoration and Enhancement](https://arxiv.org/pdf/2003.06792v2.pdf).
... | {"license": "other", "library_name": "keras", "tags": ["keras", "kaggle", "mirnet"]} | Tonic/mirnet | null | [
"keras",
"kaggle",
"mirnet",
"arxiv:2003.06792",
"license:other",
"region:us"
] | null | 2024-04-23T10:59:32+00:00 | [
"2003.06792"
] | [] | TAGS
#keras #kaggle #mirnet #arxiv-2003.06792 #license-other #region-us
| # MIRNet
![](URL
Tensorflow implementation of the MIRNet architecture as proposed by Learning Enriched Features for Real Image
Restoration and Enhancement.
Lanuch Notebooks: ![Binder](URL
Wandb Logs: URL
Blog Post: URL
TFLite Variant of MIRNet: URL
TFLite Models on Tensorflow Hub: URL
Tensorflow JS Variant of M... | [
"# MIRNet\n\n![](URL\n\nTensorflow implementation of the MIRNet architecture as proposed by Learning Enriched Features for Real Image\nRestoration and Enhancement.\n\nLanuch Notebooks: ![Binder](URL\n\nWandb Logs: URL\n\nBlog Post: URL\n\nTFLite Variant of MIRNet: URL\n\nTFLite Models on Tensorflow Hub: URL\n\nTens... | [
"TAGS\n#keras #kaggle #mirnet #arxiv-2003.06792 #license-other #region-us \n",
"# MIRNet\n\n![](URL\n\nTensorflow implementation of the MIRNet architecture as proposed by Learning Enriched Features for Real Image\nRestoration and Enhancement.\n\nLanuch Notebooks: ![Binder](URL\n\nWandb Logs: URL\n\nBlog Post: URL... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 13bluecity/13bluecity | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T10:59:56+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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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": []} | debajyotimaz/codemix_hate | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# 13bluecity/token
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the foll... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "gpt2", "model-index": [{"name": "13bluecity/token", "results": []}]} | 13bluecity/token | null | [
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| 13bluecity/token
================
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 2.8583
* Validation Loss: 2.6471
* Epoch: 2
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
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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. -->
# Muril-base-finetune-Tamil-qc
This model is a fine-tuned version of [google/muril-large-cased](https://huggingface.co/google/muri... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "accuracy"], "base_model": "google/muril-large-cased", "model-index": [{"name": "Muril-base-finetune-Tamil-qc", "results": []}]} | CVR123/Muril-base-finetune-Tamil-qc | null | [
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| Muril-base-finetune-Tamil-qc
============================
This model is a fine-tuned version of google/muril-large-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7585
* Precision: 0.8899
* Recall: 0.8887
* Accuracy: 0.8887
* F1-score: 0.8892
Model description
-----... | [
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null | null | language: en
license: cc-by-4.0
tags:
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repo: https://github.com/RibhavOjha/NLU_ed
---
# Model Card for t56225ro-p37429am-ED
<!-- Provide a quick summary of what the model is/does. -->
This is a classification model that was trained to
detect, given a pair of... | {} | RibhavOjha/bert-evidence-detection | null | [
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license: cc-by-4.0
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# Model Card for t56225ro-p37429am-ED
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null | diffusers |
# Model Card for Model ID
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[](URL target=)
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------------------------------------------------------------------------------------------
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# furkanevzat/emotion-analysis-with-distilbert
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "furkanevzat/emotion-analysis-with-distilbert", "results": []}]} | furkanevzat/emotion-analysis-with-distilbert | null | [
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| furkanevzat/emotion-analysis-with-distilbert
============================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.1374
* Validation Loss: 0.1307
* Train Accuracy: 0.938
* Epoch: 1
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## 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": []} | samzirbo/mT5.tokenizer.en-es | 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": []} | Zangs3011/quantize_push_awq | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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## 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-classification | transformers |
# 🇧🇷 Caramelo Smile 🇧🇷
<img src="https://i.imgur.com/sKAe5ZP.png" width="20%"/>
# Modelo treinado com mais de +100M de parâmetros em Português do Brasil
# Classificação de Texto
<img src="https://i.imgur.com/WEnueLY.png"/>
A classificação de texto é a tarefa de atribuir um rótulo ou classe (classificar) a um... | {"language": ["pt", "en"], "license": "cc-by-4.0", "tags": ["autotrain", "text-classification"], "datasets": ["yelp_review_full", "Adilmar/caramelo-emotions-v2"], "metrics": ["accuracy", "f1"], "widget": [{"text": "Amo um cafune"}, {"text": "Odeio motoqueiro"}, {"text": "Sou um pouco curioso"}]} | Adilmar/caramelo-smile-2 | null | [
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|
# 🇧🇷 Caramelo Smile 🇧🇷
<img src="https://i.URL width="20%"/>
# Modelo treinado com mais de +100M de parâmetros em Português do Brasil
# Classificação de Texto
<img src="https://i.URL
A classificação de texto é a tarefa de atribuir um rótulo ou classe (classificar) a um determinado texto. Alguns casos de uso ... | [
"# 🇧🇷 Caramelo Smile 🇧🇷\n\n<img src=\"https://i.URL width=\"20%\"/>",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-finetuned-samsum
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/T... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "mistral-finetuned-samsum", "results": []}]} | kapilgaikwad/mistral-finetuned-samsum | null | [
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|
# mistral-finetuned-samsum
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/Llama-3-8B-16K-GGUF-smashed | null | [
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#gguf #pruna-ai #region-us
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[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the mattshumer/Llama-3-8B-16K model.
------------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
========... | [
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\nRun one of the following commands, according to your system:",
"#### Simple llama-cpp-python example code\n\n```\n\n* Option D - Running with Lang... | [
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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": ["trl", "sft"]} | SulthanTriesToCode/TinyLlama-1.1B-Chat-v1.0-Coedit | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/cookinai/LlamaReflect-8B-CoT
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "cookinai/LlamaReflect-8B-CoT", "quantized_by": "mradermacher"} | mradermacher/LlamaReflect-8B-CoT-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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text-generation | transformers |
# Uploaded model
- **Developed by:** BaunRobotics
- **License:** apache-2.0
- **Finetuned from model :** BaunRobotics/baun-k12-50K-model-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "BaunRobotics/baun-k12-50K-model-4bit"} | BaunRobotics/baun-k12-200K-model-4bit | null | [
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|
# Uploaded model
- Developed by: BaunRobotics
- License: apache-2.0
- Finetuned from model : BaunRobotics/baun-k12-50K-model-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# Uploaded model
- **Developed by:** BaunRobotics
- **License:** apache-2.0
- **Finetuned from model :** BaunRobotics/baun-k12-50K-model-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "BaunRobotics/baun-k12-50K-model-4bit"} | BaunRobotics/baun-k12-200K-model-lora | null | [
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|
# Uploaded model
- Developed by: BaunRobotics
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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": []} | tomaszki/llama-8-a | 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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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... | Cheekydave/PPO-LL2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-23T11:14:54+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
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
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"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
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] |
null | adapter-transformers |
# Adapter `Pubudu/mbart-large-cc25_prefix_tuning_12_par_bn_rf_2_dinamina_first3` for facebook/mbart-large-cc25
An [adapter](https://adapterhub.ml) for the `facebook/mbart-large-cc25` model that was trained on the [summarization/dinamina_5100](https://adapterhub.ml/explore/summarization/dinamina_5100/) dataset.
This ... | {"tags": ["adapter-transformers", "adapterhub:summarization/dinamina_5100", "mbart"], "datasets": ["dinamina_5100"]} | Pubudu/mbart-large-cc25_prefix_tuning_12_par_bn_rf_2_dinamina_first3 | null | [
"adapter-transformers",
"adapterhub:summarization/dinamina_5100",
"mbart",
"dataset:dinamina_5100",
"region:us"
] | null | 2024-04-23T11:17:05+00:00 | [] | [] | TAGS
#adapter-transformers #adapterhub-summarization/dinamina_5100 #mbart #dataset-dinamina_5100 #region-us
|
# Adapter 'Pubudu/mbart-large-cc25_prefix_tuning_12_par_bn_rf_2_dinamina_first3' for facebook/mbart-large-cc25
An adapter for the 'facebook/mbart-large-cc25' model that was trained on the summarization/dinamina_5100 dataset.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'ada... | [
"# Adapter 'Pubudu/mbart-large-cc25_prefix_tuning_12_par_bn_rf_2_dinamina_first3' for facebook/mbart-large-cc25\n\nAn adapter for the 'facebook/mbart-large-cc25' model that was trained on the summarization/dinamina_5100 dataset.\n\nThis adapter was created for usage with the Adapters library.",
"## Usage\n\nFirst... | [
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null | transformers |
# Uploaded model
- **Developed by:** BaunRobotics
- **License:** apache-2.0
- **Finetuned from model :** BaunRobotics/baun-k12-50K-model-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "BaunRobotics/baun-k12-50K-model-4bit"} | BaunRobotics/baun-k12-200K-model-16bit-gguf | null | [
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"text-generation-inference",
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"en",
"base_model:BaunRobotics/baun-k12-50K-model-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T11:17:17+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama #text-generation-inference #unsloth #en #base_model-BaunRobotics/baun-k12-50K-model-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: BaunRobotics
- License: apache-2.0
- Finetuned from model : BaunRobotics/baun-k12-50K-model-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: BaunRobotics\n- License: apache-2.0\n- Finetuned from model : BaunRobotics/baun-k12-50K-model-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/llama-8-b | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T11:17:42+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# layoutlm-funsd
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["funsd"], "model-index": [{"name": "layoutlm-funsd", "results": []}]} | Desh8114/layoutlm-funsd | null | [
"transformers",
"pytorch",
"tensorboard",
"layoutlm",
"token-classification",
"generated_from_trainer",
"dataset:funsd",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T11:18:46+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #layoutlm #token-classification #generated_from_trainer #dataset-funsd #license-mit #autotrain_compatible #endpoints_compatible #region-us
| layoutlm-funsd
==============
This model is a fine-tuned version of microsoft/layoutlm-base-uncased on the funsd dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6888
* Answer: {'precision': 0.6959826275787188, 'recall': 0.792336217552534, 'f1': 0.7410404624277457, 'number': 809}
* Header... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 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: 15",
"### Traini... | [
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text-generation | transformers | # llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0
This repository provides large language models developed by [LLM-jp](https://llm-jp.nii.ac.jp/), a collaborative project launched in Japan.
| Model Variant |
| :--- |
|**Instruction models**|
| [llm-jp-13b-instruct-full-dolly-ichikara_... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["databricks/databricks-dolly-15k", "llm-jp/databricks-dolly-15k-ja", "llm-jp/oasst1-21k-en", "llm-jp/oasst1-21k-ja", "llm-jp/oasst2-33k-en", "llm-jp/oasst2-33k-ja"], "programming_language": ["C", "C++", "C#", "Go", "Java", ... | llm-jp/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0 | null | [
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"llama",
"text-generation",
"conversational",
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"dataset:llm-jp/oasst1-21k-ja",
"dataset:llm-jp/oasst2-33k-en",
"dataset:llm-jp/oasst2... | null | 2024-04-23T11:19:29+00:00 | [] | [
"en",
"ja"
] | TAGS
#transformers #safetensors #llama #text-generation #conversational #en #ja #dataset-databricks/databricks-dolly-15k #dataset-llm-jp/databricks-dolly-15k-ja #dataset-llm-jp/oasst1-21k-en #dataset-llm-jp/oasst1-21k-ja #dataset-llm-jp/oasst2-33k-en #dataset-llm-jp/oasst2-33k-ja #license-apache-2.0 #autotrain_compatib... | llm-jp-13b-instruct-full-ac\_001-dolly-ichikara\_004\_001\_single-oasst-oasst2-v2.0
===================================================================================
This repository provides large language models developed by LLM-jp, a collaborative project launched in Japan.
Checkpoints format: Hugging Face Tr... | [
"### Pre-training\n\n\nThe models have been pre-trained using a blend of the following datasets.",
"### Instruction tuning\n\n\nThe models have been fine-tuned on the following datasets.\n\n\n\nEvaluation\n----------\n\n\nYou can view the evaluation results of several LLMs on this leaderboard. We used llm-jp-eval... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | Kotokin/Llama-3-70B-Instruct-exl2-4bpw-rpcal-32k | null | [
"transformers",
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"conversational",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-23T11:21:09+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #facebook #meta #pytorch #llama-3 #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
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"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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null | transformers |
# Uploaded model
- **Developed by:** BaunRobotics
- **License:** apache-2.0
- **Finetuned from model :** BaunRobotics/baun-k12-50K-model-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "BaunRobotics/baun-k12-50K-model-4bit"} | BaunRobotics/baun-k12-200K-model-q4_k_m-gguf | null | [
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #gguf #llama #text-generation-inference #unsloth #en #base_model-BaunRobotics/baun-k12-50K-model-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: BaunRobotics
- License: apache-2.0
- Finetuned from model : BaunRobotics/baun-k12-50K-model-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: BaunRobotics\n- License: apache-2.0\n- Finetuned from model : BaunRobotics/baun-k12-50K-model-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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text-generation | transformers | # 魔搭Llama3 8b中文Agent智能体模型
本模型使用Llama3-8b-instruct基模型进行训练，适配中文通用场景，且支持ReACT格式的Agent调用。
## 模型使用
### 推理
```shell
# 安装依赖
pip install ms-swift -U
```
```python
# 推理
swift infer --model_type llama3-8b-instruct --model_id_or_path swift/Llama3-Chinese-8B-Instruct-Agent-v1
```
```shell
# 部署
swift deploy --model_type llama... | {"license": "llama3", "frameworks": ["Pytorch"], "tasks": ["text-generation"]} | modelscope/Llama3-Chinese-8B-Instruct-Agent-v1 | null | [
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"text-generation",
"conversational",
"license:llama3",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T11:24:25+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| 魔搭Llama3 8b中文Agent智能体模型
=======================
本模型使用Llama3-8b-instruct基模型进行训练，适配中文通用场景，且支持ReACT格式的Agent调用。
模型使用
----
### 推理
本模型可以联合ModelScopeAgent框架使用，请参考：
URL
### 模型训练信息
为了适配中文及Agent场景，我们针对语料进行了一定混合配比，训练Llama3使用的语料如下：
- COIG-CQIA：URL 该数据集包含了中国传统知识、豆瓣、弱智吧、知乎等中文互联网信息
- 魔搭通用Agent训练数据集: URL
- alpaca-e... | [
"### 推理\n\n\n本模型可以联合ModelScopeAgent框架使用，请参考：\n\n\nURL",
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"### 模型训练信息\n\n\n为了适配中文及Agent场景，我们针对语料进行了一定混合配比，训练Llama3使用的语料如下：\n\n\n- COIG-CQ... | [
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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. -->
# intent-classify-global
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown d... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "roberta-base", "model-index": [{"name": "intent-classify-global", "results": []}]} | Onebu/intent-classify-global | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T11:24:32+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| intent-classify-global
======================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0841
* Accuracy: 0.9630
* Precision: 0.9637
* Recall: 0.9630
* F1: 0.9626
Model description
-----------------
More informatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 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: 4",
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.0_Seed104 | null | [
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"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
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"1910.09700"
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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- Language(s) (NLP):
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- Finetuned from model [optional]:
### Model Sources [optional]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Aleatoric_tiny_0.0_Seed104 | null | [
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
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- Language(s) (NLP):
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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null | null | # XVERSE-V-13B
## 更新信息
- **[2024/04/28]** 发布 **XVERSE-V-13B** 多模态模型。
## Update Information
- **[2024/04/28]** release **XVERSE-V-13B** large multimodal model.
## 模型介绍
**XVERSE-V-13B** 是由深圳元象科技自主研发的支持图文问答的多模态大模型(Large Multimodal Model)，其主要特点如下：
- **模型结构**：视觉编码器采用了 **openai/clip-vit-large-patch14-224**，文本模型采用了自研的 **... | {"license": "apache-2.0"} | xverse/XVERSE-V-13B | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-23T11:27:37+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| XVERSE-V-13B
============
更新信息
----
* [2024/04/28] 发布 XVERSE-V-13B 多模态模型。
Update Information
------------------
* [2024/04/28] release XVERSE-V-13B large multimodal model.
模型介绍
----
XVERSE-V-13B 是由深圳元象科技自主研发的支持图文问答的多模态大模型(Large Multimodal Model)，其主要特点如下：
* 模型结构：视觉编码器采用了 openai/clip-vit-large-patch14-224，文... | [
"### OpenCompass 榜单\n\n\nOpenCompass 是面向大模型评测的一站式平台。 其主要特点如下： 开源可复现：提供公平、公开、可复现的大模型评测方案。因此，我们报告模型在此榜单上的相关结果。\n\n\n\n\n> \n> 1：带 '\\*' 号的模型是闭源模型\n> \n> \n> \n\n\n对于上述所有比较模型，我们优先汇报其官方公布的结果。在缺少官方结果的情况下，我们采用了 OpenCompass 榜单的报告结果。若 OpenCompass 榜单上仍然缺少相应的数据集评估结果，\n则来自于我们自行执行的评估流程所获得的数据。而评测框架则采用了OpenCompass 评估框架。",
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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": []} | SemValX/wav2vec2-base-cv_17_fr-demo-google-colab | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T11:27:50+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | setfit |
# SetFit with google-t5/t5-small
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "google-t5/t5-small", "widget": [{"text": "Do you have any special deals or discounts on bulk items?"}, {"text": "I'd like to exchange a product I bought... | wikd/t5-small-finetuned | null | [
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#setfit #safetensors #t5 #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-google-t5/t5-small #region-us
| SetFit with google-t5/t5-small
==============================
This is a SetFit model that can be used for Text Classification. This SetFit model uses google-t5/t5-small as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been trained using an efficien... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: google-t5/t5-small\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: None tokens\n* Number of Classes: 5 classes",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemma-2b-it-gee
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown da... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-2b-it-gee", "results": []}]} | himanshue2e/gemma-2b-it-gee | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:google/gemma-2b",
"license:gemma",
"region:us"
] | null | 2024-04-23T11:30:10+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| gemma-2b-it-gee
===============
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9609
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inform... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2.5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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text-generation | transformers |
# 🤏 Coven Tiny 1.1B 32K ORPO
Coven Tiny 1.1B 32K is an improved iteration of TinyLlama-1.1B-Chat-v1.0, refined to expand processing capabilities and refine language model preferences. This model includes a significantly increased context limit of 32K tokens, allowing for more extensive data processing and underst... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation", "large-language-model", "orpo"], "dataset": ["jondurbin/truthy-dpo-v0.1", "AlekseyKorshuk/evol-codealpaca-v1-dpo", "argilla/distilabel-intel-orca-dpo-pairs", "argilla/ultrafeedback-binarized-avg-rating-for-dpo-filtered", "snorkelai/Snorkel-Mistra... | raidhon/coven_tiny_1.1b_32k_orpo_alpha | null | [
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"region:us... | null | 2024-04-23T11:33:31+00:00 | [] | [
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| Coven Tiny 1.1B 32K ORPO
========================
Coven Tiny 1.1B 32K is an improved iteration of TinyLlama-1.1B-Chat-v1.0, refined to expand processing capabilities and refine language model preferences. This model includes a significantly increased context limit of 32K tokens, allowing for more extensive data proce... | [
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] |
null | null | helloworld | {} | louiscklaw/football_analysis | null | [
"region:us"
] | null | 2024-04-23T11:33:45+00:00 | [] | [] | TAGS
#region-us
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null | trl |
# Weni/WeniGPT-Agents-Mistral-1.0.11-SFT-1.0.27-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.11-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment on DPO with other hyperpar... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["DPO", "WeniGPT"], "base_model": "Weni/WeniGPT-Agents-Mistral-1.0.11-SFT-merged", "model-index": [{"name": "Weni/WeniGPT-Agents-Mistral-1.0.11-SFT-1.0.27-DPO", "results": []}]} | Weni/WeniGPT-Agents-Mistral-1.0.11-SFT-1.0.27-DPO | null | [
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|
# Weni/WeniGPT-Agents-Mistral-1.0.11-SFT-1.0.27-DPO
This model is a fine-tuned version of [Weni/WeniGPT-Agents-Mistral-1.0.11-SFT-merged] on the dataset Weni/wenigpt-agent-dpo-1.0.0 with the DPO trainer. It is part of the WeniGPT project for Weni.
Description: Experiment on DPO with other hyperparameters and best SFT... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# shakespeare-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shakespeare-ft", "results": []}]} | ashkid/shakespeare-ft | null | [
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| shakespeare-ft
==============
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7122
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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": []} | tomaszki/llama-8 | 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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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# shawgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | ashkid/shawgpt-ft | null | [
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|
# shawgpt-ft
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.1537
- eval_runtime: 31.9752
- eval_samples_per_second: 1.939
- eval_steps_per_second: 0.5
- epoch: 4.0
- step: 62
## Model descri... | [
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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": []} | thusinh1969/LLaMA-2-finetune-cp44700-20APRIL2024 | 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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audio-classification | transformers |
# wave2vec2_capstone
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2796
- Accuracy: 0.9400
- F1 score: 0.9399
## Model description
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===================
This model is a fine-tuned version of facebook/wav2vec2-base on the common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2796
* Accuracy: 0.9400
* F1 score: 0.9399
Model description
-----------------
More information needed
In... | [
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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": []} | nem012/gemma2b-r64-v2m | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# 13bluecity/token_new
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the ... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "gpt2", "model-index": [{"name": "13bluecity/token_new", "results": []}]} | 13bluecity/token_new | null | [
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| 13bluecity/token\_new
=====================
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 8.0506
* Validation Loss: 8.6042
* Epoch: 2
Model description
-----------------
More information needed
Intended uses & limitatio... | [
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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. -->
# bert-base-turkish-cased-06
This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/be... | {"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "bert-base-turkish-cased-06", "results": []}]} | alikanakar/bert-base-turkish-cased-06 | null | [
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| bert-base-turkish-cased-06
==========================
This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5394
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | adammoss/gpt-pretrain-lm-n200 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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null | transformers |
# Uploaded model
- **Developed by:** MR-Eder
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- **Finetuned from model :** VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
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# Uploaded model
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text-generation | transformers |
# Uploaded model
- **Developed by:** MR-Eder
- **License:** apache-2.0
- **Finetuned from model :** VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct"} | MR-Eder/Llama3-wiki-de-single-pairs-16bit | null | [
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# Uploaded model
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/lucianosb/boto-7B-v1.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "datasets": ["lucianosb/cetacean-ptbr"], "base_model": "lucianosb/boto-7B-v1.1", "quantized_by": "mradermacher"} | mradermacher/boto-7B-v1.1-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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] |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fineturning-medical_data
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "fineturning-medical_data", "results": []}]} | Aviral2412/fineturning-medical_data | null | [
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"endpoints_compatible",
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#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| fineturning-medical\_data
=========================
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3803
* Wer: 0.2026
Model description
-----------------
More information needed
Intended uses & limitations
... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/akkky02/DPO-llama3-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a ... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "akkky02/DPO-llama3-8B", "quantized_by": "mradermacher"} | mradermacher/DPO-llama3-8B-GGUF | null | [
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"base_model:akkky02/DPO-llama3-8B",
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"en"
] | TAGS
#transformers #gguf #en #base_model-akkky02/DPO-llama3-8B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-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": []} | gechim/vinallama-2.7b-custom | null | [
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"text-generation",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null | ما هو PureZen حبوب؟
PureZen أجهزة لوحية هو مكمل غذائي ممتاز تم إعداده بدقة لتعزيز صحة البروستاتا. تم تصنيع PureZen سعر بمزيج من المكونات الطبيعية المعروفة بخصائصها الداعمة للبروستاتا، ويهدف إلى معالجة المخاوف الشائعة المرتبطة بصحة البروستاتا، مثل الصعوبات البولية والالتهابات.
الموقع الرسمي:<a href="https://www.nutri... | {"license": "apache-2.0"} | PureZenTunisia/PureZenTunisia | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-23T11:53:27+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| ما هو PureZen حبوب؟
PureZen أجهزة لوحية هو مكمل غذائي ممتاز تم إعداده بدقة لتعزيز صحة البروستاتا. تم تصنيع PureZen سعر بمزيج من المكونات الطبيعية المعروفة بخصائصها الداعمة للبروستاتا، ويهدف إلى معالجة المخاوف الشائعة المرتبطة بصحة البروستاتا، مثل الصعوبات البولية والالتهابات.
الموقع الرسمي:<a href="URL
<p><a href="... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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13
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr_v2_20
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr_v2_20", "results": []}]} | ssamperr/detr_v2_20 | null | [
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"object-detection",
"generated_from_trainer",
"base_model:facebook/detr-resnet-50",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T11:55:37+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
|
# detr_v2_20
This model is a fine-tuned version of facebook/detr-resnet-50 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The ... | [
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"## Training and evaluation data\n\nMore information needed",
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"### ... | [
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null | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-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": []} | TTTTao725/molt5-augmented-contrastive-0-small-whole_model | null | [
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"endpoints_compatible",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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## Model Details
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