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automatic-speech-recognition | pyannote | This is the model card of a pyannote pipeline that has been pushed on the Hub. This model card has been automatically generated. | {"library_name": "pyannote", "tags": ["pyannote", "pyannote.audio", "pyannote-audio-pipeline", "audio", "voice", "speech", "speaker", "speaker-diarization", "speaker-change-detection", "voice-activity-detection", "overlapped-speech-detection", "automatic-speech-recognition"], "licence": "mit"} | kamilakesbi/spk_diarize_test | null | [
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text-generation | null |
# Bad GPT
Based on the [Let's build GPT](https://www.youtube.com/watch?v=kCc8FmEb1nY) video from Andrej Karpathy.
This is just an attempt to recreate the transformer Andrej made in his video with the goal of learning more about torch, transformers, and neural networks in general.
To run, make sure `python` `3.10` a... | {"language": ["en"], "license": "mit", "datasets": ["karpathy/tiny_shakespeare"], "pipeline_tag": "text-generation"} | shamashel/bad-gpt | null | [
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|
# Bad GPT
Based on the Let's build GPT video from Andrej Karpathy.
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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. -->
# vit-base-oxford-iiit-pets
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-oxford-iiit-pets", "results": []}]} | walterg777/vit-base-oxford-iiit-pets | null | [
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| vit-base-oxford-iiit-pets
=========================
This model is a fine-tuned version of google/vit-base-patch16-224 on the pcuenq/oxford-pets dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1883
* Accuracy: 0.9540
Model description
-----------------
More information needed
Intend... | [
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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"]} | zementalist/llama-3-8B-chat-psychotherapist-v2 | null | [
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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": []} | SparshSyde/xlmroberta_detector_system_prompt_leak_iter2 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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question-answering | 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. -->
# LewPerren/my_awesome_qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-u... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "LewPerren/my_awesome_qa_model", "results": []}]} | LewPerren/my_awesome_qa_model | null | [
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| LewPerren/my\_awesome\_qa\_model
================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 3.4589
* Validation Loss: 2.3088
* Epoch: 0
Model description
-----------------
More infor... | [
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text-classification | null |
# Introduction
Novora Code Classifier v1 Tiny, is a tiny `Text Classification` model, which classifies given code text input under 1 of `31` different classes (programming languages).
This model is designed to be able to run on CPU, but optimally runs on GPUs.
# Info
- 1 of 31 classes output
- 512 token input dimen... | {"license": "apache-2.0", "datasets": ["Novora/CodeClassifier_v1"], "pipeline_tag": "text-classification"} | Novora/CodeClassifier-v1-Tiny | null | [
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| Introduction
============
Novora Code Classifier v1 Tiny, is a tiny 'Text Classification' model, which classifies given code text input under 1 of '31' different classes (programming languages).
This model is designed to be able to run on CPU, but optimally runs on GPUs.
Info
====
* 1 of 31 classes output
* 512... | [] | [
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audio-to-audio | null | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<style>
body {
font-family: Arial, sans-serif;
padding: 2rem;
color: #333;
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max-width: 8... | {"license": "mit", "tags": ["pretrained", "hubert", "RVC", "ai", "vits", "vc", "voice-cloning", "voice-conversion", "Voice2Voice"], "pipeline_tag": "audio-to-audio"} | Politrees/all_RVC-pretrained_and_other | null | [
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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. -->
# GIT_inf_w_caption_blur_ep5_eval
This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "microsoft/git-base", "model-index": [{"name": "GIT_inf_w_caption_blur_ep5_eval", "results": []}]} | vishwa27/GIT_inf_w_caption_blur_ep5_eval | null | [
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| GIT\_inf\_w\_caption\_blur\_ep5\_eval
=====================================
This model is a fine-tuned version of microsoft/git-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0688
* Rouge1: 11.5483
* Rouge2: 6.9038
* Rougel: 10.6731
* Rougelsum: 10.6966
* Gen Len: 217... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** yadz45
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["fr"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | yadz45/IA_lora | null | [
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# Uploaded model
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<img src="URL width="200"/>
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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. -->
# 20240429_115939
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "20240429_115939", "results": []}]} | schoonhovenra/20240429_115939 | null | [
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# 20240429_115939
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
... | [
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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. -->
# layoutlmv3-finetuned-invoice
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["generated"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "layoutlmv3-finetuned-invoice", "results": [{"task": {"type": "token-classification", "name": "Token Cla... | ShinzHira123/layoutlmv3-finetuned-invoice | null | [
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|
# layoutlmv3-finetuned-invoice
This model is a fine-tuned version of microsoft/layoutlmv3-base on the generated dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0133
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.8751
## Model description
More information needed
## Intended use... | [
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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": []} | kyounghyun/EEVE2.8B_KO_Finetune_test | 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. -->
[<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", "results": []}]} | kloodia/lora-8b-medic | 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
========
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: 1.5741
Model description
---... | [
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null | null | # Only a Matter of Style: Age Transformation Using a Style-Based Regression Model (SIGGRAPH 2021)
> The task of age transformation illustrates the change of an individual's appearance over time. Accurately modeling this complex transformation over an input facial image is extremely challenging as it requires making c... | {} | deneesk/sam-model | null | [
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| Only a Matter of Style: Age Transformation Using a Style-Based Regression Model (SIGGRAPH 2021)
===============================================================================================
>
> The task of age transformation illustrates the change of an individual's appearance over time. Accurately modeling this ... | [
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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. -->
# llama2-7b-dpo-full-sft-wo-medication_qa
This model is a fine-tuned version of [Minbyul/llama2-7b-wo-medication_qa-sft](https://h... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "Minbyul/llama2-7b-wo-medication_qa-sft", "model-index": [{"name": "llama2-7b-dpo-full-sft-wo-medication_qa", "results": []}]} | Minbyul/llama2-7b-dpo-full-sft-wo-medication_qa | null | [
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| llama2-7b-dpo-full-sft-wo-medication\_qa
========================================
This model is a fine-tuned version of Minbyul/llama2-7b-wo-medication\_qa-sft on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4396
* Rewards/chosen: -0.1779
* R... | [
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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/fwuvqk9 | null | [
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text-generation | transformers |
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<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
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<!-- 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
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<!-- 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/px0miu9 | 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": []} | quickstep3621/sp5tw11 | 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 | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {} | DMaxDesign/test | null | [
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# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
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text-generation | null |
# CroissantLLM - All smaller checkpoints
These models are part of the CroissantLLM initiative, and correspond to the checkpoints after 100B tokens for smaller model sizes.
These are the models used for scaling laws.
To play with the final model, we recommend using the Chat version: https://huggingface.co/croissantl... | {"language": ["fr", "en"], "license": "mit", "tags": ["legal", "code", "text-generation-inference", "art"], "datasets": ["cerebras/SlimPajama-627B", "uonlp/CulturaX", "pg19", "bigcode/starcoderdata", "croissantllm/croissant_dataset"], "pipeline_tag": "text-generation"} | croissantllm/croissant_small_models | null | [
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|
# CroissantLLM - All smaller checkpoints
These models are part of the CroissantLLM initiative, and correspond to the checkpoints after 100B tokens for smaller model sizes.
These are the models used for scaling laws.
To play with the final model, we recommend using the Chat version: URL
URL
## Abstract
We intro... | [
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text-generation | transformers |
**Scarlett-Llama-3-8B-v1.0**
**Note**: This model is updated version of my earlier released model **[Scarlett-Llama-3-8B](https://huggingface.co/ajibawa-2023/Scarlett-Llama-3-8B)** . This model doesn't have repetation problem.
Kindly check new examples included at the bottom.
Scarlett is trained on various topics su... | {"language": ["en"], "license": "other", "tags": ["art", "philosophy", "romance", "jokes", "advice", "code", "companionship"], "license_name": "llama3", "license_link": "LICENSE"} | ajibawa-2023/Scarlett-Llama-3-8B-v1.0 | null | [
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|
Scarlett-Llama-3-8B-v1.0
Note: This model is updated version of my earlier released model Scarlett-Llama-3-8B . This model doesn't have repetation problem.
Kindly check new examples included at the bottom.
Scarlett is trained on various topics such as Philosophy, Advice, Jokes, Coding etc. She is trained on more tha... | [] | [
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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. -->
# billm_conll2003_mistralai-Mistral-7B-v0.1_ckpt
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://hugging... | {"library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["conll2003"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "billm_conll2003_mistralai-Mistral-7B-v0.1_ckpt", "results": []}]} | ferrazzipietro/billm_conll2003_mistralai-Mistral-7B-v0.1_ckpt | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #dataset-conll2003 #base_model-mistralai/Mistral-7B-v0.1 #region-us
| billm\_conll2003\_mistralai-Mistral-7B-v0.1\_ckpt
=================================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the conll2003 dataset.
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* Precision: 0.0625
* Recall: 0.25
* F1: 0.1
* Accurac... | [
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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": []} | amphora/fc-both | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** shubham11
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | shubham11/mistralreleas_eessayScoring | null | [
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|
# Uploaded model
- Developed by: shubham11
- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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feature-extraction | transformers | # medical-20-0-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-4-turbo-01_9062874564
## Model Description
medical-20-0-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-4-turbo-01_9062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
## Use Case
This model is designed t... | {} | florianhoenicke/medical-20-0-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-4-turbo-01_9062874564 | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"custom_code",
"endpoints_compatible",
"region:us"
] | null | 2024-04-29T12:27:40+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #custom_code #endpoints_compatible #region-us
| # medical-20-0-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-4-turbo-01_9062874564
## Model Description
medical-20-0-16-jinaai_jina-embeddings-v2-small-en-1000-gpt-4-turbo-01_9062874564 is a fine-tuned version of jinaai/jina-embeddings-v2-small-en designed for a specific domain.
## Use Case
This model is designed t... | [
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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": ["llama-factory"]} | arml/llama3-8b-tuned | 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 -->
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text-generation | null |
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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<!-- header... | {"language": ["en"], "license": "other", "model_name": "Llama3 70B Instruct", "license_name": "llama3", "arxiv": 2307.09288, "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "inference": false, "model_creator": "Meta Llama3", "model_type": "llama", "pipeline_tag": "text-generation", "quantized_by": "Second State I... | second-state/Meta-Llama-3-70B-Instruct-GGUF | null | [
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---
Meta-Llama-3-70B-Instruct-GGUF
==============================
Original Model
--------------
meta-llama/Meta-Llama-3-70B-Instruct
Run with LlamaEdge
------------------
* LlamaEdge version: v0.8.3 and above
* Prompt template
+ Prompt type: 'llama-3-chat'
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null | null | RVC v2 Model Жанна Фриске (Jeanne Friske) Snowie v3 pretrain
Credit: @Koshatka_Lana on YouTube
Enjoy using it! Don't forget to leave credits! =)
An example for a 180 epoch model: https://cdn.discordapp.com/attachments/1193711231576584345/1234758449833967638/AstraLabs-1066386649359073300.mp3?ex=6631e5eb&is=6630946b&h... | {"tags": ["music"]} | ToeBoe/JeanneFriske | null | [
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#music #region-us
| RVC v2 Model Жанна Фриске (Jeanne Friske) Snowie v3 pretrain
Credit: @Koshatka_Lana on YouTube
Enjoy using it! Don't forget to leave credits! =)
An example for a 180 epoch model: URL | [] | [
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text-generation | transformers | # tmp
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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using ./evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_6747850... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | yuiseki/YuisekinAIEvol-Mistral-7B-ja-math-v0.1.1 | null | [
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| # tmp
This is a merge of pre-trained language models created using mergekit.
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
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model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | usr-bin-ksh/autotrain-1vcxw-ff5zv | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/c6vjqra | null | [
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text-generation | null |
# Llama-3-8b-64k-PoSE-GGUf
- This is quantized version of [winglian/Llama-3-8b-64k-PoSE](https://huggingface.co/winglian/Llama-3-8b-64k-PoSE) created using llama.cpp
## Model Description
This model uses [PoSE](https://huggingface.co/papers/2309.10400) to extend Llama's context length from 8k to 64k @ rope_theta: 50... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "axolotl"], "pipeline_tag": "text-generation", "base_model": "winglian/Llama-3-8b-64k-PoSE"} | QuantFactory/Llama-3-8b-64k-PoSE-GGUF | null | [
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| Llama-3-8b-64k-PoSE-GGUf
========================
* This is quantized version of winglian/Llama-3-8b-64k-PoSE created using URL
Model Description
-----------------
This model uses PoSE to extend Llama's context length from 8k to 64k @ rope\_theta: 500000.0.
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null | null | # Table of Contents
* [FunSearch](#FunSearch)
* [FunSearch](#FunSearch.FunSearch)
* [make\_request\_for\_prompt](#FunSearch.FunSearch.make_request_for_prompt)
* [request\_samplers](#FunSearch.FunSearch.request_samplers)
* [get\_next\_state](#FunSearch.FunSearch.get_next_state)
* [set\_up\_flow\_state... | {"license": "mit"} | aiflows/FunSearchFlowModule | null | [
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| # Table of Contents
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* FunSearch
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text-generation | transformers | <!-- header start -->
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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">
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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. -->
# ellis-v3-emotion-leadership-multi-label
This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.c... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "microsoft/deberta-v3-small", "model-index": [{"name": "ellis-v3-emotion-leadership-multi-label", "results": []}]} | gsl22/ellis-v3-emotion-leadership-multi-label | null | [
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] | null | 2024-04-29T12:54:34+00:00 | [] | [] | TAGS
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| ellis-v3-emotion-leadership-multi-label
=======================================
This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1095
* Accuracy: 0.9728
* F1: 0.9318
* Precision: 0.9346
* Recall: 0.9289
Model d... | [
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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": []} | GaussianMixture/llama3_tokenizer | null | [
"transformers",
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] | null | 2024-04-29T12:56:42+00:00 | [
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] | [] | TAGS
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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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": []} | EpicJhon/llama_231 | null | [
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"stablelm",
"text-generation",
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] | null | 2024-04-29T12:57:49+00:00 | [
"1910.09700"
] | [] | TAGS
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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 | null |
## Introduction
This repository provides the baseline model files for CNVSRC2024 (Chinese Continuous Visual Speech Recognition Challenge 2024).
## Usage
Please download these model files and use them in the [baseline code](https://github.com/sectum1919/CNVSRC2024Baseline).
## Performance
The following table shows... | {"metrics": ["cer"]} | chenchen2121/CNVSRC2024Baseline | null | [
"region:us"
] | null | 2024-04-29T12:57:59+00:00 | [] | [] | TAGS
#region-us
| Introduction
------------
This repository provides the baseline model files for CNVSRC2024 (Chinese Continuous Visual Speech Recognition Challenge 2024).
Usage
-----
Please download these model files and use them in the baseline code.
Performance
-----------
The following table shows these models' performance... | [] | [
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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. -->
# vit-base-patch16-224-finetuned-eurosat
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "vit-base-patch16-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "data... | mansee/vit-base-patch16-224-finetuned-eurosat | null | [
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| vit-base-patch16-224-finetuned-eurosat
======================================
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1775
* Accuracy: 0.9320
Model description
-----------------
More informat... | [
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text-classification | transformers | ## TextAttack Model Card
This `bert` model was fine-tuned using TextAttack. The model was fine-tuned
for 3 epochs with a batch size of 8,
a maximum sequence length of 512, and an initial learning rate of 3e-05.
Since this was a classification task, the model was trained... | {"language": ["zh"], "license": "apache-2.0", "metrics": ["accuracy"], "pipeline_tag": "text-classification"} | WangA/bert-base-finetuned-ctrip | null | [
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| ## TextAttack Model Card
This 'bert' model was fine-tuned using TextAttack. The model was fine-tuned
for 3 epochs with a batch size of 8,
a maximum sequence length of 512, and an initial learning rate of 3e-05.
Since this was a classification task, the model was trained... | [
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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_1
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", "generated_from_trainer", "trl", "dpo"], "datasets": ["updated", "original"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "vanilla_dpo_iter_1", "results": []}]} | YYYYYYibo/vanilla_dpo_iter_1 | null | [
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| vanilla\_dpo\_iter\_1
=====================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the updated and the original datasets.
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* Loss: 0.6274
* Rewards/chosen: -0.0991
* Rewards/rejected: -0.2700
* Rewards/accuracies: 0.6800... | [
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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": []} | golf2248/k1h4uct | 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
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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 | <!-- header start -->
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image-classification | transformers |
# Model Trained Using AutoTrain
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No validation metrics available
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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. -->
# final_V1-roberta-text-classification-model
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| final\_V1-roberta-text-classification-model
===========================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
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* Accuracy: 0.9502
* F1: 0.8186
* Precision: 0.8164
* Recall: 0.8225
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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|
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
<details><summary>See axolotl config</summary>
axolotl version: '0.4.0'
</details><br>
# modeltest1-dpo
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the None dataset.
## Model description
More information needed
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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. -->
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### Model Sources [optional]
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### Direct Use
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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/google-gemma-7b-HQQ-2bit-smashed | null | [
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"text-generation",
"pruna-ai",
"base_model:google/gemma-7b",
"autotrain_compatible",
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"region:us"
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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>
 using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: Gille/StrangeMerges_32-7B-slerp
- model:... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Strangemerges_32Neuralsynthesis-7B | null | [
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"automerger",
"license:apache-2.0",
"region:us"
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Strangemerges_32Neuralsynthesis-7B
Strangemerges_32Neuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## 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;">
... | {"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/google-gemma-7b-HQQ-1bit-smashed | null | [
"transformers",
"gemma",
"text-generation",
"pruna-ai",
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"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-29T13:10:58+00:00 | [] | [] | TAGS
#transformers #gemma #text-generation #pruna-ai #base_model-google/gemma-7b #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>

CivitAI: [link](https://civitai.com/models/121083/blazing-drive) | {"license": "creativeml-openrail-m"} | ironjr/BlazingDriveV13md | null | [
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-29T13:11:48+00:00 | [] | [] | TAGS
#license-creativeml-openrail-m #region-us
|
I do not own this model. This is uploaded purely for academic demonstrations.
Credit: BD
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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-sft
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator da... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-2b-sft", "results": []}]} | DuongTrongChi/gemma-2b-sft | null | [
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|
# gemma-2b-sft
This model is a fine-tuned version of google/gemma-2b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The f... | [
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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": "microsoft/phi-2"} | TaufikT/code-task | null | [
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### Model Description
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### Model Sources [optional]
- Repository:
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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/google-gemma-2b-it-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;">
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 on an unknown da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "google-t5/t5-base", "model-index": [{"name": "t5-base_ter", "results": []}]} | lesha-grishchenko/t5-base_ter | null | [
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| t5-base\_ter
============
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9640
* Bleu: 0.0101
* Gen Len: 19.0
Model description
-----------------
More information needed
Intended uses & limitations
--------------... | [
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null | transformers |
# Uploaded model
- **Developed by:** ayushgs
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | ayushgs/llama-3-8b-mh | null | [
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|
# Uploaded model
- Developed by: ayushgs
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# Phi2SFT
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the generator dataset... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "microsoft/phi-2", "model-index": [{"name": "Phi2SFT", "results": []}]} | Abinayasankar/Phi2SFT | null | [
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"generated_from_trainer",
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|
# Phi2SFT
This model is a fine-tuned version of microsoft/phi-2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The follow... | [
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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": []} | Abinayasankar/Phi2-SFTFinetuned | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # dolphin-2.9-llama3-8b-GGUF
- Original model: [dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b)
<!-- description start -->
## Description
This repo contains GGUF format model files for [dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b... | {"license": "other", "tags": ["generated_from_trainer", "axolotl", "GGUF"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca... | LiteLLMs/dolphin-2.9-llama3-8b-GGUF | null | [
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"dataset:HuggingFaceH... | null | 2024-04-29T13:17:04+00:00 | [] | [] | TAGS
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- Original model: dolphin-2.9-llama3-8b
## Description
This repo contains GGUF format model files for dolphin-2.9-llama3-8b.
### 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 is a... | [
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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/uoee38m | 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 |
<!-- 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-RUN4 | null | [
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| 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: 3.6046
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Traini... | [
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "SenseTime/deformable-detr", "model-index": [{"name": "sensetime-deformable-detr-finetuned-10k-cppe5-reproduce", "results": []}]} | qubvel-hf/sensetime-deformable-detr-finetuned-10k-cppe5-reproduce | null | [
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sensetime-deformable-detr-finetuned-10k-cppe5-reproduce
=======================================================
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voice-activity-detection | pyannote | This is the model card of a pyannote model that has been pushed on the Hub. This model card has been automatically generated. | {"library_name": "pyannote", "tags": ["pyannote", "pyannote.audio", "pyannote-audio-model", "audio", "voice", "speech", "speaker", "speaker-diarization", "speaker-change-detection", "speaker-segmentation", "voice-activity-detection", "overlapped-speech-detection", "resegmentation", "speaker-recognition", "speaker-verif... | kamilakesbi/speaker-segmentation-test | null | [
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null | transformers |
# Model Card for Model ID
<!-- -->
## Model Details
Shivneri Marathi LLM is being built with the wish to bring the benefits of Generative AI to non-English (especially Marathi) speaking population of India.
Marathi has the third largest number of native speakers in India, after Hindi and Bengali.
Almost 83 milli... | {"language": ["mr", "en"], "license": "llama3", "library_name": "transformers", "datasets": ["smallstepai/marathi-instruction-tuning-alpaca", "ai4bharat/indic-align"]} | amitagh/shivneri-llm-it-v0.2-GGUF | 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/google-codegemma-2b-HQQ-2bit-smashed | null | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/Llama-3-8B-layer-mix-bpw-4.0 | null | [
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| # GreenBit LLMs
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Please refer to our Github page for the code to run the model and more information. | [
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