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image-classification | transformers | # Fine-tuned Vision Transformer for Alzheimer's Detection
This repository hosts a Vision Transformer (ViT) model fine-tuned on the OASIS MRI dataset for the classification of brain MRI images based on the progression of Alzheimer's disease. The model categorizes images into four classes: demented, very mild demented, ... | {"library_name": "transformers"} | fawadkhan/ViT_FineTuned_on_ImagesOASIS | null | [
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#transformers #safetensors #vit #image-classification #autotrain_compatible #endpoints_compatible #region-us
| # Fine-tuned Vision Transformer for Alzheimer's Detection
This repository hosts a Vision Transformer (ViT) model fine-tuned on the OASIS MRI dataset for the classification of brain MRI images based on the progression of Alzheimer's disease. The model categorizes images into four classes: demented, very mild demented, ... | [
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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. -->
# GPT2-705M
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following res... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "GPT2-705M", "results": []}]} | ninagroot/GPT2-705M | null | [
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#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GPT2-705M
=========
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5805
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Traini... | [
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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": []} | aishu194/OrpoLlama-3-8B | 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 | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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reinforcement-learning | 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... | Zan135/ppo-LunarLander-v2 | null | [
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|
# 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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] |
text-generation | transformers | <!-- header start -->
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<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;">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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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. -->
# zephyr-7b-dpo-lora
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignmen... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "zephyr-7b-dpo-lora", "results": []}]} | SeniorKabanocci/zephyr-7b-dpo-lora | null | [
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| zephyr-7b-dpo-lora
==================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5894
* Rewards/chosen: -0.2738
* Rewards/rejected: -0.6020
* Rewards/accuracies:... | [
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null | null | This hub includes the pth file of the HRINet proposed by the paper ‘An Attention-Based Hemispheric Relation Inference Network for Perinatal Brain Age Prediction’ which is under review now. More details will come soon after the paper is accepted. | {"license": "apache-2.0"} | uais-zll/HRINet | null | [
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/all_4814_all_6417_bart-base_rl | null | [
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|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
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text-generation | transformers | <!-- 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;">
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|
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HPY_gpt2_vB.3
This model is a fine-tuned version of [ClassCat/gpt2-base-french](https://huggingface.co/ClassCat/gpt2-base-french... | {"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "HPY_gpt2_vB.3", "results": []}]} | azizkt/HPY_gpt2_vB.3 | null | [
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"generated_from_trainer",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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] | null | 2024-04-29T14:45:23+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| HPY\_gpt2\_vB.3
===============
This model is a fine-tuned version of ClassCat/gpt2-base-french on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4858
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mor... | [
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text-generation | transformers | <!-- header start -->
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image-to-text | transformers |
# LongCap: Finetuned [BLIP](https://huggingface.co/Salesforce/blip-image-captioning-base) for generating long captions of images, suitable for prompts for text-to-image generation and captioning text-to-image datasets
## Usage
You can use this model for conditional and un-conditional image captioning
### Using the... | {"license": "bsd-3-clause", "tags": ["image-captioning"], "datasets": ["unography/laion-81k-GPT4V-LIVIS-Captions"], "pipeline_tag": "image-to-text", "languages": ["en"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/savanna.jpg", "example_title": "Savanna"}, {"src": "https://hugg... | unography/blip-long-cap | null | [
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# LongCap: Finetuned BLIP for generating long captions of images, suitable for prompts for text-to-image generation and captioning text-to-image datasets
## Usage
You can use this model for conditional and un-conditional image captioning
### Using the Pytorch model
#### Running the model on CPU
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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. -->
# tulu2-7b-cost-UF-UI-HHRLHF-5e-6
This model is a fine-tuned version of [allenai/tulu-2-7b](https://huggingface.co/allenai/tulu-2-... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-7b", "model-index": [{"name": "tulu2-7b-cost-UF-UI-HHRLHF-5e-6", "results": []}]} | just1nseo/tulu2-7b-cost-UF-UI-HHRLHF-5e-6 | null | [
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| tulu2-7b-cost-UF-UI-HHRLHF-5e-6
===============================
This model is a fine-tuned version of allenai/tulu-2-7b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8630
* Rewards/chosen: -4.9803
* Rewards/rejected: -5.7374
* Rewards/accuracies: 0.5905
* Rewards/margins: 0... | [
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text-generation | transformers |
- **Developed by:** cstr
- **License:** apache-2.0
- **Finetuned from model :** vonjack/Phi-3-mini-4k-instruct-LLaMAfied
This is a quick experiment with only 150 orpo steps from a german dataset.
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL libra... | {"language": ["en", "de"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "orpo"], "base_model": "vonjack/Phi-3-mini-4k-instruct-LLaMAfied"} | cstr/phi-3-orpo-v8_16 | null | [
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- License: apache-2.0
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<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;">
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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. -->
# tulu2-7b-cost-UF-UI-HHRLHF-2e-6
This model is a fine-tuned version of [allenai/tulu-2-7b](https://huggingface.co/allenai/tulu-2-... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-7b", "model-index": [{"name": "tulu2-7b-cost-UF-UI-HHRLHF-2e-6", "results": []}]} | just1nseo/tulu2-7b-cost-UF-UI-HHRLHF-2e-6 | null | [
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| tulu2-7b-cost-UF-UI-HHRLHF-2e-6
===============================
This model is a fine-tuned version of allenai/tulu-2-7b on the None dataset.
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* Rewards/chosen: -2.7944
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* Rewards/accuracies: 0.5755
* Rewards/margins: 0... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | NikiBase/t5-large_PREFIX_TUNING_SEQ2SEQ | 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. -->
# tulu2-7b-cost-UF-UI-2e-6
This model is a fine-tuned version of [allenai/tulu-2-7b](https://huggingface.co/allenai/tulu-2-7b) on ... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-7b", "model-index": [{"name": "tulu2-7b-cost-UF-UI-2e-6", "results": []}]} | just1nseo/tulu2-7b-cost-UF-UI-2e-6 | null | [
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"trl",
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========================
This model is a fine-tuned version of allenai/tulu-2-7b on the None dataset.
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* Loss: 0.7594
* Rewards/chosen: -2.0999
* Rewards/rejected: -2.4320
* Rewards/accuracies: 0.5525
* Rewards/margins: 0.3320
* Reward... | [
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image-to-image | null | This model is a ControlNet conditioned over abstract images represented by geometric shapes (dataset [here](https://www.kaggle.com/datasets/rishabhsrivastava66/images-made-up-of-geometric-shapes-controlnet/data)). | {"language": ["en"], "pipeline_tag": "image-to-image"} | rishabhs66/ControlNet-Conditioned-On-Geometric-Shapes | null | [
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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... | Krazeder/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
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"model-index",
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#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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text-generation | transformers | <!-- header start -->
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Regression
## Validation Metrics
loss: 0.282262921333313
mse: 0.2820460796356201
mae: 0.4189736545085907
r2: 0.74436353679844
rmse: 0.5310801267623901
explained_variance: 0.7570163011550903
| {"tags": ["autotrain", "text-regression"], "datasets": ["autotrain-m96nh-snymb/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | abhishek/autotrain-m96nh-snymb | null | [
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# Model Trained Using AutoTrain
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loss: 0.282262921333313
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text-generation | transformers | <!-- 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;">
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
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<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/tlphams/Wizard-Mixtral-8x22B-Instruct-v0.1
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
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automatic-speech-recognition | transformers |
# Kotoba-Whisper-v1.1
_Kotoba-Whisper-v1.1_ is a Japanese ASR model based on [kotoba-tech/kotoba-whisper-v1.0](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0), with
additional postprocessing stacks integrated as [`pipeline`](https://huggingface.co/docs/transformers/en/main_classes/pipelines). The new features... | {"language": "ja", "license": "apache-2.0", "tags": ["audio", "automatic-speech-recognition", "hf-asr-leaderboard"], "metrics": ["wer"], "widget": [{"example_title": "CommonVoice 8.0 (Test Split)", "src": "https://huggingface.co/datasets/japanese-asr/ja_asr.common_voice_8_0/resolve/main/sample.flac"}, {"example_title":... | kotoba-tech/kotoba-whisper-v1.1 | null | [
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"license:apache-2.0",
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#transformers #safetensors #whisper #automatic-speech-recognition #audio #hf-asr-leaderboard #ja #license-apache-2.0 #model-index #endpoints_compatible #has_space #region-us
| Kotoba-Whisper-v1.1
===================
*Kotoba-Whisper-v1.1* is a Japanese ASR model based on kotoba-tech/kotoba-whisper-v1.0, with
additional postprocessing stacks integrated as 'pipeline'. The new features includes
(i) improved timestamp achieved by stable-ts and (ii) adding punctuation with punctuators.
These lib... | [
"### Transcription\n\n\nThe model can be used with the 'pipeline'\nclass to transcribe audio files as follows:\n\n\n* To transcribe a local audio file, simply pass the path to your audio file when you call the pipeline:",
"### Transcription with Prompt\n\n\nKotoba-whisper can generate transcription with prompting... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "vonjack/Phi-3-mini-4k-instruct-LLaMAfied"} | rwitz/phi-rp-dpo | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [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": []} | shallow6414/0mfv37i | null | [
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# Model Card for Model ID
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### 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]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Intent-classification-12kv2
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "Intent-classification-12kv2", "results": []}]} | Narkantak/Intent-classification-12kv2 | null | [
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| Intent-classification-12kv2
===========================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0074
* Accuracy: 0.9984
* F1: 0.9983
* Precision: 0.9983
* Recall: 0.9983
Model description
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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text-generation | transformers | <!-- 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;">
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #llama #text-generation #pruna-ai #conversational #base_model-cognitivecomputations/dolphin-2.9-llama3-8b #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | transformers | <!-- 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", "base_mo... | PrunaAI/cognitivecomputations-dolphin-2.9-llama3-8b-HQQ-1bit-smashed | null | [
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![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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": []} | YernazarBis/llama-3-8b-tr-ft-mr | null | [
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# Model Card for Model ID
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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. -->
# wav2vec2-base-finetuned-gtzan-v2
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec2-base-finetuned-gtzan-v2", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"n... | heisenberg3376/wav2vec2-base-finetuned-gtzan | null | [
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| wav2vec2-base-finetuned-gtzan-v2
================================
This model is a fine-tuned version of facebook/wav2vec2-base on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5042
* Accuracy: 0.87
Model description
-----------------
More information needed
Intended use... | [
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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. -->
# llama_train_seq_cls_run1
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llam... | {"license": "llama2", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama_train_seq_cls_run1", "results": []}]} | isaaclee/llama_train_seq_cls_run1 | null | [
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|
# llama_train_seq_cls_run1
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf 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 hyperp... | [
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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": []} | quickstep3621/hq7hkl2 | 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. -->
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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": []} | quickstep3621/k9a694j | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# pegasus-x-base-pegasus_article_summarization_base5
This model is a fine-tuned version of [google/pegasus-x-base](https://hugging... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "google/pegasus-x-base", "model-index": [{"name": "pegasus-x-base-pegasus_article_summarization_base5", "results": []}]} | LAKSHM11-G/pegasus-x-base-pegasus_article_summarization_base5 | null | [
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| pegasus-x-base-pegasus\_article\_summarization\_base5
=====================================================
This model is a fine-tuned version of google/pegasus-x-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.9305
Model description
-----------------
More informatio... | [
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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": []} | rwitz/phi-3-rp-dpo-full | null | [
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# Model Card for Model ID
## Model Details
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch4-repeats4-rank8-snr5.0
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch4-repeats4-rank8-snr5.0 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AU... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "A photo of <s0><s1> giving a speech", "output": {"url": "image_0.png"}}, {"text": "A photo of <s0><s1> giving a speech", "outpu... | aarashfeizi/jean-francois-godbout-batch4-repeats4-rank8-snr5.0 | null | [
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"license:openrail++",
"region:us"
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|
# SDXL LoRA DreamBooth - aarashfeizi/jean-francois-godbout-batch4-repeats4-rank8-snr5.0
<Gallery />
## Model description
### These are aarashfeizi/jean-francois-godbout-batch4-repeats4-rank8-snr5.0 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AU... | [
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null | null | https://huggingface.co/meta-llama/Meta-Llama-3-8B/tree/main/original/tokenizer.modelを、
Llama-3-Gozaru-8B-Instructのフォルダに入れた状態で、llama.cppによって量子化。
| {} | 4piken/Llama-3-Gozaru-8B-Instruct-F16_token_model.gguf | null | [
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#gguf #region-us
| URL.modelを、
Llama-3-Gozaru-8B-Instructのフォルダに入れた状態で、llama.cppによって量子化。
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text-generation | transformers | <!-- header start -->
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![Twitter](URL
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased
This model was trained from scratch on the None dataset.
It achieves the following results on the evalua... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "distilbert-base-uncased", "results": []}]} | DenysZakharkevych/distilbert-base-uncased | null | [
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| distilbert-base-uncased
=======================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7691
* Accuracy: 0.7419
Model description
-----------------
More information needed
Intended uses & limitations
--------------------------... | [
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text-generation | transformers | <!-- 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;">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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text-generation | transformers | <!-- 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", "base_mo... | PrunaAI/cognitivecomputations-dolphin-2.9-llama3-8b-256k-HQQ-4bit-smashed | null | [
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|
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
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text-generation | transformers | <!-- 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", "base_mo... | PrunaAI/cognitivecomputations-dolphin-2.9-llama3-8b-256k-HQQ-1bit-smashed | null | [
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|
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
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text-generation | transformers | # Llama3-8B-Chinese-Chat-GGUF
- Original model: [Llama3-8B-Chinese-Chat](https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Llama3-8B-Chinese-Chat](https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat).
<!-- desc... | {"language": ["en", "zh"], "license": "llama3", "library_name": "transformers", "tags": ["llama-factory", "orpo", "GGUF"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation", "quantized_by": "andrijdavid"} | LiteLLMs/Llama3-8B-Chinese-Chat-GGUF | null | [
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| # Llama3-8B-Chinese-Chat-GGUF
- Original model: Llama3-8B-Chinese-Chat
## Description
This repo contains GGUF format model files for Llama3-8B-Chinese-Chat.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GGML, which is no longer supported by URL.
Here i... | [
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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. -->
# vanilla_dpo_iter_2
This model is a fine-tuned version of [YYYYYYibo/vanilla_dpo_iter_1](https://huggingface.co/YYYYYYibo/vanilla... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["updated", "original"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "vanilla_dpo_iter_2", "results": []}]} | YYYYYYibo/vanilla_dpo_iter_2 | null | [
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| vanilla\_dpo\_iter\_2
=====================
This model is a fine-tuned version of YYYYYYibo/vanilla\_dpo\_iter\_1 on the updated and the original datasets.
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* Rewards/chosen: -0.3175
* Rewards/rejected: -0.4996
* Rewards/accuracies: 0.6740
* Rew... | [
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text-generation | transformers | <!-- 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", "base_mo... | PrunaAI/shenzhi-wang-Llama3-8B-Chinese-Chat-HQQ-2bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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text-generation | transformers | <!-- 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;">
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Deepfake-image
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "Deepfake-image", "results": []}]} | Hemg/Deepfake-image | null | [
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| Deepfake-image
==============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0662
* Accuracy: 0.9743
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
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text-to-image | null | https://civitai.com/models/193003/jenna-ortega-by-brassen250?modelVersionId=251435
 | {"tags": ["Jenna", "Ortega", "lora", "Jenna Ortega"], "pipeline_tag": "text-to-image"} | VikumK/Jenna-Ortega-by-Brassen250 | null | [
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text-generation | transformers | <!-- 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", "base_mo... | PrunaAI/aaditya-Llama3-OpenBioLLM-8B-HQQ-1bit-smashed | null | [
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
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text-to-image | diffusers |
# Inference
```python
from diffusers import DiffusionPipeline
import torch
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16)
pipe.to("cuda")
pipe.load_lora_weights("VikramSingh178/sdxl-lora-finetune-product-caption")
prompt = "outer, The Nike x Balencia... | {"language": ["en"], "license": "apache-2.0", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "stable-diffusion", "stable-diffusion-diffusers"], "datasets": ["hahminlew/kream-product-blip-captions"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "datase... | VikramSingh178/sdxl-lora-finetune-product-caption | 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": []} | lunarsylph/stablecell_v51 | null | [
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text-generation | transformers | <!-- 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;">
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text-generation | transformers | <!-- 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", "base_mo... | PrunaAI/shenzhi-wang-Llama3-8B-Chinese-Chat-HQQ-4bit-smashed | 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": []} | Peppenapo/gemmaFinetuneTESTRUNOK | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** DJPanda02
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | DJPanda02/model | null | [
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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... | ggordon/huggingface-rl-unit-1-ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-29T15:23:58+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 |
# 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": []} | Winmodel/gpt2-lora-aligned-orpo | null | [
"transformers",
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T15:24:03+00:00 | [
"1910.09700"
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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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Hugosh71
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Hugosh71/Llama-3-8B-Eden | null | [
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|
# Uploaded model
- Developed by: Hugosh71
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: Hugosh71\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-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 | <!-- 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", "base_mo... | PrunaAI/aaditya-Llama3-OpenBioLLM-8B-HQQ-4bit-smashed | null | [
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"text-generation-inference",
"region:us"
] | null | 2024-04-29T15:25:47+00:00 | [] | [] | TAGS
#transformers #llama #text-generation #pruna-ai #base_model-aaditya/Llama3-OpenBioLLM-8B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "lora-out-alpaca", "results": []}]} | kloodia/lora-8b-alpaca-french | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
lora-out-alpaca
===============
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2014
Model d... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/5csg5vx | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | girayo/SpaceInvadersNoFrameskip | null | [
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"SpaceInvadersNoFrameskip-v4",
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|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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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": []} | shrenikb/importanttest | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- 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", "base_mo... | PrunaAI/McGill-NLP-Llama-3-8B-Web-HQQ-2bit-smashed | null | [
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![Twitter](URL
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text-generation | transformers | ERROR: type should be string, got "\nhttps://github.com/hiyouga/LLaMA-Factory\n\nColab: https://colab.research.google.com/drive/1eRTPn37ltBbYsISy9Aw2NuI2Aq5CQrD9?usp=sharing\n\nCUDA_VISIBLE_DEVICES=0 python src/train_bash.py \\\n --stage sft \\\n --do_train True \\\n --model_name_or_path Qwen/Qwen1.5-0.5B-Chat \\\n --finetuning_type lora \\\n --template qwen \\\n --flash_attn auto \\\n --dataset_dir data \\\n --dataset identity,alpaca_gpt4_zh \\\n --cutoff_len 1024 \\\n --learning_rate 0.0002 \\\n --num_train_epochs 5.0 \\\n --max_samples 1000 \\\n --per_device_train_batch_size 4 \\\n --gradient_accumulation_steps 4 \\\n --lr_scheduler_type cosine \\\n --max_grad_norm 1.0 \\\n --logging_steps 5 \\\n --save_steps 100 \\\n --warmup_steps 0 \\\n --optim adamw_torch \\\n --report_to none \\\n --output_dir saves/Qwen1.5-0.5B-Chat/lora/train_2024-04-29-14-46-34 \\\n --fp16 True \\\n --lora_rank 8 \\\n --lora_alpha 16 \\\n --lora_dropout 0.1 \\\n --use_dora True \\\n --lora_target all \\\n --plot_loss True " | {"license": "apache-2.0"} | kevin-hu-lab/Qwen1.5-0.5B-Chat-v1 | null | [
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"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-29T15:31:18+00:00 | [] | [] | TAGS
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|
URL
Colab: URL
CUDA_VISIBLE_DEVICES=0 python src/train_bash.py \
--stage sft \
--do_train True \
--model_name_or_path Qwen/Qwen1.5-0.5B-Chat \
--finetuning_type lora \
--template qwen \
--flash_attn auto \
--dataset_dir data \
--dataset identity,alpaca_gpt4_zh \
--cutoff_len 1024 ... | [] | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | girayo/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
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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. -->
# 4_bar_lmd_clean_custom_test3
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "4_bar_lmd_clean_custom_test3", "results": []}]} | MikeMpapa/4_bar_lmd_clean_custom_test3 | null | [
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| 4\_bar\_lmd\_clean\_custom\_test3
=================================
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.4912
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
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text-generation | transformers | <!-- header start -->
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<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;">
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![Twitter](URL
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text-generation | transformers | # Samantha ITA v0.1 DPO
<img src="https://i.postimg.cc/zBNTLX3z/00017-3353768680.png" alt="cover" border="0" width="1024px">
## Model Details
DPO trained version of Samantha v0.1 ITA
### Model Description
Samantha DPO trained version of Samantha ITA v0.1
## Chat Template
```
<|im_start|>system
YOUR PROMPT<|im... | {"language": ["it"], "license": "mit", "tags": ["dpo", "psycology", "companion"], "datasets": ["WasamiKirua/thruty-dpo-orca-ita"], "base_model": "WasamiKirua/Samantha-ita-v0.1", "pipeline_tag": "text-generation", "model-index": [{"name": "Samantha-ita-v0.1-DPO", "results": []}]} | WasamiKirua/Samantha-ita-mistral-v0.1-DPO | null | [
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"text-generation-inf... | null | 2024-04-29T15:35:12+00:00 | [] | [
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| # Samantha ITA v0.1 DPO
<img src="https://i.URL alt="cover" border="0" width="1024px">
## Model Details
DPO trained version of Samantha v0.1 ITA
### Model Description
Samantha DPO trained version of Samantha ITA v0.1
## Chat Template
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flanT5-text-json
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flanT5-text-json", "results": []}]} | Shritama/flanT5-text-json | null | [
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|
# flanT5-text-json
This model is a fine-tuned version of google/flan-t5-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
Th... | [
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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": []} | jorgefg03/bert-base-multilingual-cased-autext2024 | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# HPY_gpt2_v3
This model is a fine-tuned version of [ClassCat/gpt2-base-french](https://huggingface.co/ClassCat/gpt2-base-french) ... | {"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "HPY_gpt2_v3", "results": []}]} | azizkt/HPY_gpt2_v3 | null | [
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| HPY\_gpt2\_v3
=============
This model is a fine-tuned version of ClassCat/gpt2-base-french on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6651
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More in... | [
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text-generation | transformers | <!-- 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", "base_mo... | PrunaAI/Orenguteng-Llama-3-8B-Lexi-Uncensored-HQQ-1bit-smashed | null | [
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![Twitter](URL
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text-generation | transformers | <!-- 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;">
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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![Discord](URL... | [
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text-generation | transformers | <!-- header start -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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] | null | 2024-04-29T15:52:17+00:00 | [] | [] | TAGS
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![Twitter](URL
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"TAGS\n#transformers #llama #text-generation #pruna-ai #base_model-UnicomLLM/Unichat-llama3-Chinese-8B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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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. -->
# code-llama-7b-ner-updated-6
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/C... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "code-llama-7b-ner-updated-6", "results": []}]} | MythSankara/code-llama-7b-ner-updated-6 | null | [
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|
# code-llama-7b-ner-updated-6
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# code-llama-7b-ner-updated-6\n\nThis model is a fine-tuned version of codellama/CodeLlama-7b-hf on the generator dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
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feature-extraction | transformers |
## Overview
This is a bare model without any output layer or classification head. It has been quantized to be used for feature extraction tasks.
**Usage**
This model is intended to be used as a base for training on downstream tasks. In order to use it for predictions and inference, it should be fine-tuned on a spec... | {"pipeline_tag": "feature-extraction"} | smallsuper/Mistral-7B-v0.1-4bit-64rank | null | [
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"endpoints_compatible",
"text-generation-inference",
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] | null | 2024-04-29T15:53:18+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #feature-extraction #endpoints_compatible #text-generation-inference #region-us
|
## Overview
This is a bare model without any output layer or classification head. It has been quantized to be used for feature extraction tasks.
Usage
This model is intended to be used as a base for training on downstream tasks. In order to use it for predictions and inference, it should be fine-tuned on a specific... | [
"## Overview\n\nThis is a bare model without any output layer or classification head. It has been quantized to be used for feature extraction tasks.\n\nUsage\n\nThis model is intended to be used as a base for training on downstream tasks. In order to use it for predictions and inference, it should be fine-tuned on ... | [
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