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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": []} | baconnier/banker_llama3 | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers |
AWQ quantized version of Meta-Llama-3-8B-Instruct model.
---
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialog... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | TechxGenus/Meta-Llama-3-8B-Instruct-AWQ | null | [
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| AWQ quantized version of Meta-Llama-3-8B-Instruct model.
---
Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optim... | [
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text-generation | transformers |
GPTQ quantized version of Meta-Llama-3-8B-Instruct model.
---
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialo... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | TechxGenus/Meta-Llama-3-8B-Instruct-GPTQ | null | [
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| GPTQ quantized version of Meta-Llama-3-8B-Instruct model.
---
Model Details
-------------
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Ko - Eveready
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-s... | {"language": ["ko"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_13_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Ko - Eveready", "results": [{"task": {"type": "automatic-speech-recognition", "name": ... | Eveready/whisper-small-ko | null | [
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| Whisper Small Ko - Eveready
===========================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6726
* Wer Ortho: 40.0806
* Wer: 38.9728
Model description
-----------------
More information need... | [
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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. -->
# codet5-fine-tuned
This model is a fine-tuned version of [Salesforce/codet5p-220m-py](https://huggingface.co/Salesforce/codet5p-2... | {"license": "bsd-3-clause", "tags": ["generated_from_trainer"], "base_model": "Salesforce/codet5p-220m-py", "model-index": [{"name": "codet5-fine-tuned", "results": []}]} | dgktrnh/codet5-fine-tuned | null | [
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| codet5-fine-tuned
=================
This model is a fine-tuned version of Salesforce/codet5p-220m-py on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1679
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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null | null | EXL2 quants of [Llama-3 70B Instruct](https://huggingface.co/Undi95/Meta-Llama-3-70B-Instruct-hf/tree/main)
[2.40 bits per weight](https://huggingface.co/turboderp/Llama-3-70B-Instruct-exl2/tree/2.4bpw)
[2.80 bits per weight](https://huggingface.co/turboderp/Llama-3-70B-Instruct-exl2/tree/2.8bpw)
[3.00 bits ... | {} | turboderp/Llama-3-70B-Instruct-exl2 | null | [
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#region-us
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2.40 bits per weight
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text-generation | transformers |
# 6bpw quant with measurements included
# original readme below
--------
# Llama 3 DreamGen Opus V1
<div style="display: flex; flex-direction: row; align-items: center;">
<img src="/dreamgen/opus-v1.2-llama-3-8b/resolve/main/images/logo-1024.png" alt="model logo" style="
border-radius: 12px;
margin-right: 1... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "tags": ["unsloth", "axolotl"], "pipeline_tag": "text-generation"} | lucyknada/dreamgen-opus-v1.2-llama-3-8b-instruct-6bpw | null | [
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|
# 6bpw quant with measurements included
# original readme below
--------
# Llama 3 DreamGen Opus V1
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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. -->
# deberta-v3-base-otat
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-... | {"language": ["en"], "license": "mit", "tags": ["nycu-112-2-datamining-hw2", "generated_from_trainer"], "datasets": ["DandinPower/review_onlytitleandtext"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-base", "model-index": [{"name": "deberta-v3-base-otat", "results": [{"task": {"type": "text-classifica... | DandinPower/deberta-v3-base-otat | null | [
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| deberta-v3-base-otat
====================
This model is a fine-tuned version of microsoft/deberta-v3-base on the DandinPower/review\_onlytitleandtext dataset.
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* Loss: 1.4437
* Accuracy: 0.639
* Macro F1: 0.6399
Model description
-----------------
More inf... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-krillin100 | 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 |
# Lamma3merge2-15B-MoE
Lamma3merge2-15B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_1ep](https://huggingface.co/mohsenfayyaz/Meta-Llama-... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_1ep", "birgermoell/Llama-3-dare_ties"], "base_model": ["mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_1ep", "birgermoell/Llama-3-dare_ties"]} | allknowingroger/Lamma3merge2-15B-MoE | null | [
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"base_model:mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_1ep",... | null | 2024-04-19T07:30:47+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_1ep #birgermoell/Llama-3-dare_ties #conversational #base_model-mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_1ep #base_model-birgermoell/Llama-3-dare_ties #licen... |
# Lamma3merge2-15B-MoE
Lamma3merge2-15B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_1ep
* birgermoell/Llama-3-dare_ties
## Configuration
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hi000000/insta_lama2-koen_final | null | [
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-sft-lora-tom-baseline
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral-7b-sft-lora-tom-baseline", "results": []}]} | vijay-ravichander/mistral-7b-sft-lora-tom-baseline | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.1 #license-apache-2.0 #region-us
| mistral-7b-sft-lora-tom-baseline
================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4316
Model description
-----------------
More information needed
Intended uses... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | UnderstandLing/Llama-3-8B-Instruct-nl | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Meta-Llama-3-8B-Instruct #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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summarization | 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. -->
# BioNLP-intro-disc-tech-decoder-eLife
This model was trained from scratch on an unknown dataset.
## Model description
More info... | {"tags": ["summarization", "generated_from_trainer"], "model-index": [{"name": "BioNLP-intro-disc-tech-decoder-eLife", "results": []}]} | dtorber/BioNLP-intro-disc-tech-decoder-eLife | null | [
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#transformers #safetensors #led #text2text-generation #summarization #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# BioNLP-intro-disc-tech-decoder-eLife
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
Th... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Dogge
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-70b-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": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-70b-bnb-4bit"} | Dogge/llama-3-70B-uncensored | null | [
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|
# Uploaded model
- Developed by: Dogge
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-70b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
This is a fine-tune of Llama3-8B base model using an Alpaca-like instruction-tuning dataset generated with GPT4. My aim with doing this was to compare the instruction-tuned performance of this model with the one Llama has available. | {"language": ["en"], "license": "apache-2.0", "tags": ["code", "unsloth", "trl", "sft"]} | MadMarx37/llama3-8b-alpaca-lora-peft | null | [
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|
This is a fine-tune of Llama3-8B base model using an Alpaca-like instruction-tuning dataset generated with GPT4. My aim with doing this was to compare the instruction-tuned performance of this model with the one Llama has available. | [] | [
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] |
reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | brightonm/a2c-PandaReachDense-v3 | null | [
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"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-19T07:36:47+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - jeehyunyu/kkongs
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true, "instance_prompt": "a photo of sks cat"} | jeehyunyu/kkongs | null | [
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|
# DreamBooth - jeehyunyu/kkongs
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks cat using DreamBooth.
You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
DreamBooth for the text encoder was enabled: False.
## Intend... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# PolizzeDonut-CR-ProvaCluster2di7-7Epochs-WD0.01
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5ep... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-CR-ProvaCluster2di7-7Epochs-WD0.01", "results": []}]} | tedad09/PolizzeDonut-CR-ProvaCluster2di7-7Epochs-WD0.01 | null | [
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"license:mit",
"endpoints_compatible",
"region:us"
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|
# PolizzeDonut-CR-ProvaCluster2di7-7Epochs-WD0.01
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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null | null |
Trained using Mangio Fork [easiergui(rejekts)](https://imgur.com/a/4y45yfe) of [RVC WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) `08/2023`:
- Epochs: 250
- Pitch extraction algorithm: `harvest` if not `rmvpe`
- Time estimation: 6h
- Dataset: VCTK - Picked `Voice-sample`
Usage:
You can... | {"license": "apache-2.0"} | Nekochu/RVC-VCTK_Voice-sample | null | [
"license:apache-2.0",
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#license-apache-2.0 #region-us
|
Trained using Mangio Fork easiergui(rejekts) of RVC WebUI '08/2023':
- Epochs: 250
- Pitch extraction algorithm: 'harvest' if not 'rmvpe'
- Time estimation: 6h
- Dataset: VCTK - Picked 'Voice-sample'
Usage:
You can use the models vc2vc with w-okada/voice-changer.
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null | peft |
Preview of dataset trained on: https://huggingface.co/datasets/manishiitg/aditi-syn-v2
The synthetic dataset (https://huggingface.co/datasets/manishiitg/aditi-syn-v2) and the full data creation pipeline (https://github.com/manishiitg/aditi_dataset) have been open-sourced, enabling transparency and fostering further r... | {"license": "other", "library_name": "peft", "tags": ["axolotl", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "open-aditi-chat-hi-1.25-llama3", "results": []}]} | manishiitg/open-aditi-v6-llama3 | null | [
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#peft #safetensors #llama #axolotl #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B #license-other #region-us
| Preview of dataset trained on: URL
The synthetic dataset (URL and the full data creation pipeline (URL have been open-sourced, enabling transparency and fostering further research in this domain. The dataset is a rich tapestry of Hinglish (a blend of Hindi and English) data, as well as a diverse array of tasks spanni... | [
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text-generation | transformers |
## Contributors
[](https://huggingface.co/DevsDoCode) [![OEvortex](https://aeiljuispo.cloudimg.io/v7/https://cdn-uploads.huggingface.co/production/uploads/64be41c330... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["uncensored", "transformers", "llama", "llama-3", "unsloth"], "pipeline_tag": "text-generation"} | DevsDoCode/LLama-3-8b-Uncensored-4bit | null | [
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|
## Contributors
![Devs Do Code](URL ![OEvortex](URL
# Finetune Meta Llama-3 8b to create an Uncensored Model with Devs Do Code!
Unleash the power of uncensored text generation with our model! We've fine-tuned the Meta Llama-3 8b model to create an uncensored variant that pushes the boundaries of text generation.
#... | [
"## Contributors\n![Devs Do Code](URL ![OEvortex](URL",
"# Finetune Meta Llama-3 8b to create an Uncensored Model with Devs Do Code!\n\nUnleash the power of uncensored text generation with our model! We've fine-tuned the Meta Llama-3 8b model to create an uncensored variant that pushes the boundaries of text gene... | [
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<!-- description start -->
## Description
This repo contains GGUF format model files for [MiniCPM-V-2](https://huggingface.co/openbmb/MiniCPM-V-2).
<!-- description end -->
<!-- README_GGUF.md-about-gguf start -->
### Abou... | {"language": ["en", "zh"], "tags": ["GGUF"], "datasets": ["HaoyeZhang/RLHF-V-Dataset", "Yirany/UniMM-Chat", "HuggingFaceM4/VQAv2", "liuhaotian/LLaVA-Instruct-150K"], "pipeline_tag": "visual-question-answering", "quantized_by": "andrijdavid"} | LiteLLMs/MiniCPM-V-2-GGUF | null | [
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| # MiniCPM-V-2-GGUF
- Original model: MiniCPM-V-2
## Description
This repo contains GGUF format model files for MiniCPM-V-2.
### 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 an incomplete list of clients a... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "NousResearch/Meta-Llama-3-8B-Instruct"} | Sjbok/Llama_3_8B_PEFT_QLORA | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-NousResearch/Meta-Llama-3-8B-Instruct #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
... | [
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text-to-image | diffusers | ### 新图 on Stable Diffusion via Dreambooth
#### model by HenryZeng
This your the Stable Diffusion model fine-tuned the 新图 concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **<新图> building**
You can also train your own concepts and upload them to the library by using ... | {"license": "creativeml-openrail-m", "tags": ["text-to-image"]} | HenryZeng/CUHKSZ-xin-tu | null | [
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#diffusers #safetensors #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### 新图 on Stable Diffusion via Dreambooth
#### model by HenryZeng
This your the Stable Diffusion model fine-tuned the 新图 concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the 'instance_prompt': <新图> building
You can also train your own concepts and upload them to the library by using this... | [
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"#### model by HenryZeng\nThis your the Stable Diffusion model fine-tuned the 新图 concept taught to Stable Diffusion with Dreambooth.\nIt can be used by modifying the 'instance_prompt': <新图> building\n\nYou can also train your own concepts and upload them to the library... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Meta-Llama-3-8B-Instruct_medical_bios_5000_3ep
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_medical_bios_5000_3ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_medical_bios_5000_3ep | null | [
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] | null | 2024-04-19T07:54:43+00:00 | [] | [] | TAGS
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|
# Meta-Llama-3-8B-Instruct_medical_bios_5000_3ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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null | null |
# DavidAU/una-llama-7b-Q6_K-GGUF
This model was converted to GGUF format from [`fblgit/una-llama-7b`](https://huggingface.co/fblgit/una-llama-7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/fblgit... | {"license": "other", "tags": ["alignment-handbook", "generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "huggyllama/llama-7b", "model-index": [{"name": "una-llama-7b", "results": []}]} | DavidAU/una-llama-7b-Q6_K-GGUF | null | [
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"llama-cpp",
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"base_model:huggyllama/llama-7b",
"license:other",
"region:us"
] | null | 2024-04-19T07:54:55+00:00 | [] | [] | TAGS
#gguf #alignment-handbook #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-huggyllama/llama-7b #license-other #region-us
|
# DavidAU/una-llama-7b-Q6_K-GGUF
This model was converted to GGUF format from 'fblgit/una-llama-7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You ca... | [
"# DavidAU/una-llama-7b-Q6_K-GGUF\nThis model was converted to GGUF format from 'fblgit/una-llama-7b' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# JJJCHHH/my_awesome_opus_books_model
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-sma... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google-t5/t5-small", "model-index": [{"name": "JJJCHHH/my_awesome_opus_books_model", "results": []}]} | JJJCHHH/my_awesome_opus_books_model | null | [
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"text-generation-inference",
"region:us"
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| JJJCHHH/my\_awesome\_opus\_books\_model
=======================================
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.6435
* Validation Loss: 0.5323
* Epoch: 2
Model description
-----------------
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
... | [
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null | null |
# DavidAU/UNA-POLAR-10.7B-InstructMath-v2-Q6_K-GGUF
This model was converted to GGUF format from [`fblgit/UNA-POLAR-10.7B-InstructMath-v2`](https://huggingface.co/fblgit/UNA-POLAR-10.7B-InstructMath-v2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer t... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "tags": ["UNA", "SOLAR", "MathPILE", "llama-cpp", "gguf-my-repo"], "datasets": ["GAIR/MathPile"], "model-index": [{"name": "UNA-POLAR-10.7B-InstructMath-v2", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning... | DavidAU/UNA-POLAR-10.7B-InstructMath-v2-Q6_K-GGUF | null | [
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] | null | 2024-04-19T07:56:16+00:00 | [] | [
"en"
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#gguf #UNA #SOLAR #MathPILE #llama-cpp #gguf-my-repo #en #dataset-GAIR/MathPile #license-cc-by-nc-nd-4.0 #model-index #region-us
|
# DavidAU/UNA-POLAR-10.7B-InstructMath-v2-Q6_K-GGUF
This model was converted to GGUF format from 'fblgit/UNA-POLAR-10.7B-InstructMath-v2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the... | [
"# DavidAU/UNA-POLAR-10.7B-InstructMath-v2-Q6_K-GGUF\nThis model was converted to GGUF format from 'fblgit/UNA-POLAR-10.7B-InstructMath-v2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the U... | [
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null | null |
# DavidAU/UNAversal-2x7B-v1-Q6_K-GGUF
This model was converted to GGUF format from [`fblgit/UNAversal-2x7B-v1`](https://huggingface.co/fblgit/UNAversal-2x7B-v1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggin... | {"license": "apache-2.0", "tags": ["llama-factory", "lora", "generated_from_trainer", "llama-cpp", "gguf-my-repo"], "model-index": [{"name": "UNAversal-2x7B-v1", "results": []}]} | DavidAU/UNAversal-2x7B-v1-Q6_K-GGUF | null | [
"gguf",
"llama-factory",
"lora",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-19T07:58:52+00:00 | [] | [] | TAGS
#gguf #llama-factory #lora #generated_from_trainer #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/UNAversal-2x7B-v1-Q6_K-GGUF
This model was converted to GGUF format from 'fblgit/UNAversal-2x7B-v1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
No... | [
"# DavidAU/UNAversal-2x7B-v1-Q6_K-GGUF\nThis model was converted to GGUF format from 'fblgit/UNAversal-2x7B-v1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | null | # Meta-Llama-3-8B-GGUF
- Original model: [Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B).
<!-- description end -->
<!-- README_GGUF.md-abo... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "GGUF"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"... | LiteLLMs/Meta-Llama-3-8B-GGUF | null | [
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#gguf #facebook #meta #pytorch #llama #llama-3 #GGUF #text-generation #en #license-other #region-us
| Meta-Llama-3-8B-GGUF
====================
* Original model: Meta-Llama-3-8B
Description
-----------
This repo contains GGUF format model files for Meta-Llama-3-8B.
### 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 ... | [
"### About GGUF\n\n\nGGUF 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.\nHere is an incomplete list of clients and libraries that are known to support GGUF:\n\n\n* URL. This is the source project for GGUF, providing both a Command ... | [
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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": []} | HachiML/Swallow-MS-7b-v0.1-ChatSkill-LAB-Evo-v0.8 | null | [
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"autotrain_compatible",
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#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | transformers |
# Uploaded model
- **Developed by:** thevin123
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | thevin123/mistral_15000_best_dpo | null | [
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|
# Uploaded model
- Developed by: thevin123
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-to-audio | 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": []} | vbrydik/mms-tts-eng-finetune-v2-train | null | [
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#transformers #safetensors #vits #text-to-audio #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]:
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- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
# Model Card for Model ID
## 2024 AIA LLM課程範例
<!-- Provide a quick summary of what the model is/does. -->
- 基礎模型: meta-llama/Meta-Llama-3-8B-Instruct ( https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
- 採用4bits精度載入模型權重 (load_in_4bit=True)
- 使用peft library的LoRA訓練方式，進行fine-tuning:
```python
lora_alpha = 16
... | {"license": "apache-2.0"} | stuser2023/Llama3-8b-finetuned | null | [
"tensorboard",
"safetensors",
"license:apache-2.0",
"region:us"
] | null | 2024-04-19T08:03:00+00:00 | [] | [] | TAGS
#tensorboard #safetensors #license-apache-2.0 #region-us
|
# Model Card for Model ID
## 2024 AIA LLM課程範例
- 基礎模型: meta-llama/Meta-Llama-3-8B-Instruct ( URL
- 採用4bits精度載入模型權重 (load_in_4bit=True)
- 使用peft library的LoRA訓練方式，進行fine-tuning:
### 資料集
(語料包括:英,中,日,韓) HF連結: URL
### 訓練環境
使用google colab 免費資源(GPU: T4, 15GB)
### 執行範例
1.先確認所需library
2.下載模型
3.進行推論(文字生成)
### 目前的... | [
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text-classification | transformers | Fine-tuned [LVBERT](https://huggingface.co/AiLab-IMCS-UL/lvbert) for multi-label emotion classification task.
Model was trained on [lv_go_emotions](https://huggingface.co/datasets/SkyWater21/lv_go_emotions) dataset. This dataset is Latvian translation of [GoEmotions](https://huggingface.co/datasets/go_emotions) datase... | {"language": ["lv"], "license": "mit", "datasets": ["SkyWater21/lv_go_emotions"]} | SkyWater21/lvbert-lv-go-emotions-ekman | null | [
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| Fine-tuned LVBERT for multi-label emotion classification task.
Model was trained on lv\_go\_emotions dataset. This dataset is Latvian translation of GoEmotions dataset. Google Translate was used to generate the machine translation.
Original 26 emotions were mapped to 6 base emotions as per Dr. Ekman theory.
Label... | [] | [
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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": []} | sridhar1111111111111111/gemma2B-It-Caption-Finetuned-latest-2epochs | 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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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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": []} | ABHISHEKMONU2001/llama7b_finetunning_19_April | null | [
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# Model Card for Model ID
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- Funded by [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | sridhar1111111111111111/gemma2B-It-Caption-Finetuned-latest | 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 |
<!-- 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. -->
# PolizzeDonut-CR-ProvaCluster3di7-7Epochs-WD0.01-EvalStratEpoch
This model is a fine-tuned version of [tedad09/PolizzeDonut-Chang... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-CR-ProvaCluster3di7-7Epochs-WD0.01-EvalStratEpoch", "results": []}]} | tedad09/PolizzeDonut-CR-ProvaCluster3di7-7Epochs-WD0.01-EvalStratEpoch | null | [
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| PolizzeDonut-CR-ProvaCluster3di7-7Epochs-WD0.01-EvalStratEpoch
==============================================================
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.158... | [
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text-generation | transformers |
# Boundary-Solar-Chat-2x10.7B-MoE
Boundary-Solar-Chat-2x10.7B-MoE is a Mixture of Experts (MoE) made with the following models:
* [NousResearch/Nous-Hermes-2-SOLAR-10.7B](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B)
* [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Ins... | {"license": "apache-2.0", "tags": ["moe", "merge", "mergekit", "NousResearch/Nous-Hermes-2-SOLAR-10.7B", "upstage/SOLAR-10.7B-Instruct-v1.0", "llama", "Llama"], "base_model": ["NousResearch/Nous-Hermes-2-SOLAR-10.7B", "upstage/SOLAR-10.7B-Instruct-v1.0"]} | NotAiLOL/Boundary-Solar-Chat-2x10.7B-MoE | null | [
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# Boundary-Solar-Chat-2x10.7B-MoE
Boundary-Solar-Chat-2x10.7B-MoE is a Mixture of Experts (MoE) made with the following models:
* NousResearch/Nous-Hermes-2-SOLAR-10.7B
* upstage/SOLAR-10.7B-Instruct-v1.0
## Configuration
## Usage
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text-to-image | diffusers |
# TRL DDPO Model
This is a diffusion 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 image generation conditioned with text.
| {"license": "apache-2.0", "tags": ["trl", "ddpo", "diffusers", "reinforcement-learning", "text-to-image", "stable-diffusion"]} | SeanForHim/ddpo-finetuned-stable-diffusion | null | [
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This is a diffusion model that has been fine-tuned with reinforcement learning to
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text-generation | transformers |
# Uploaded model
- **Developed by:** coralexbadea
- **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/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | coralexbadea/llama3-test-4bit | null | [
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|
# Uploaded model
- Developed by: coralexbadea
- 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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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. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | AAA01101312/xlm-roberta-base-finetuned-panx-de-fr | null | [
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| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1628
* F1: 0.8582
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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null | transformers |
# Uploaded model
- **Developed by:** rahulrouterabbit
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | rahulrouterabbit/lora_model | null | [
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|
# Uploaded model
- Developed by: rahulrouterabbit
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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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. -->
# mfuyu_1.5_8b_8192_720p
This model is a fine-tuned version of [adept/fuyu-8b](https://huggingface.co/adept/fuyu-8b) on an unknown... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "base_model": "adept/fuyu-8b", "model-index": [{"name": "mfuyu_1.5_8b_8192_720p", "results": []}]} | MFuyu/mfuyu_1.5_8b_8192_720p | null | [
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"base_model:adept/fuyu-8b",
"license:cc-by-nc-4.0",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-19T08:18:40+00:00 | [] | [] | TAGS
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|
# mfuyu_1.5_8b_8192_720p
This model is a fine-tuned version of adept/fuyu-8b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-70B-5.0bpw-h6-exl2 | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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null | null |
# T3qm7xpM7-7B
T3qm7xpM7-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [nlpguy/T3QM7XP](https://huggingface.co/nlpguy/T3QM7XP)
* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
## 🧩 Configuration
```yaml
slices:
- sources:
... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["nlpguy/T3QM7XP", "liminerity/M7-7b"]} | automerger/T3qm7xpM7-7B | null | [
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"automerger",
"base_model:nlpguy/T3QM7XP",
"base_model:liminerity/M7-7b",
"license:apache-2.0",
"region:us"
] | null | 2024-04-19T08:20:01+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #base_model-nlpguy/T3QM7XP #base_model-liminerity/M7-7b #license-apache-2.0 #region-us
|
# T3qm7xpM7-7B
T3qm7xpM7-7B is an automated merge created by Maxime Labonne using the following configuration.
* nlpguy/T3QM7XP
* liminerity/M7-7b
## Configuration
## Usage
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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. -->
# distilhubert-finetuned-gtzan
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name":... | saketag73/classification_distilhubert-finetuned-gtzan-1 | null | [
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| distilhubert-finetuned-gtzan
============================
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6925
* Accuracy: 0.82
Model description
-----------------
More information needed
Intended uses & limit... | [
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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. -->
# robust_llm_pythia-31m_ian-022_IMDB_n-its-25
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_ian-022_IMDB_n-its-25", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_ian-022_IMDB_n-its-25 | null | [
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|
# robust_llm_pythia-31m_ian-022_IMDB_n-its-25
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Chandrateja
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Chandrateja/lamma3-8b-oig-unsloth-merged | null | [
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|
# Uploaded model
- Developed by: Chandrateja
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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|
# Model Card for Model ID
## 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. -->
# 0.0_ablation_1e7lr_4iters_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_1e7lr_4iters_iter_1](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_1e7lr_4iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_1e7lr_4iters_iter_1", "model-index": [{"name": "0.0_ablation_1e7lr_4iters_iter_2", "results": []}]} | ZhangShenao/0.0_ablation_1e7lr_4iters_iter_2 | null | [
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"license:mit",
"autotrain_compatibl... | null | 2024-04-19T08:31:27+00:00 | [] | [] | TAGS
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# 0.0_ablation_1e7lr_4iters_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_ablation_1e7lr_4iters_iter_1 on the ZhangShenao/0.0_ablation_1e7lr_4iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data... | [
"# 0.0_ablation_1e7lr_4iters_iter_2\n\nThis model is a fine-tuned version of ZhangShenao/0.0_ablation_1e7lr_4iters_iter_1 on the ZhangShenao/0.0_ablation_1e7lr_4iters_dataset dataset.",
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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. -->
# token-classification-llmlingua2-xlm-roberta-bctn-2308_sample-5_epoch_best_data_v2
This model is a fine-tuned version of [Faceboo... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-large", "model-index": [{"name": "token-classification-llmlingua2-xlm-roberta-bctn-2308_sample-5_epoch_best_data_v2", "results": []}]} | qminh369/token-classification-llmlingua2-xlm-roberta-bctn-2308_sample-5_epoch_best_data_v2 | null | [
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"base_model:FacebookAI/xlm-roberta-large",
"license:mit",
"autotrain_compatible",
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] | null | 2024-04-19T08:32:11+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-FacebookAI/xlm-roberta-large #license-mit #autotrain_compatible #endpoints_compatible #region-us
| token-classification-llmlingua2-xlm-roberta-bctn-2308\_sample-5\_epoch\_best\_data\_v2
======================================================================================
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset.
It achieves the following results on the evaluation set:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers |
# A experts weights of [Jamba-v0.1](https://huggingface.co/ai21labs/Jamba-v0.1)
Required Weights for Follow-up Research
The original model is **[AI21lab's Jamba-v0.1](https://huggingface.co/ai21labs/Jamba-v0.1)**, which requires an **A100 80GB GPU**. Unfortunately, this almonst was not available via Google Colab o... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["jamba", "mamba", "moe"]} | danielpark/asp-9b-inst-base | null | [
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#transformers #safetensors #jamba #text-generation #mamba #moe #custom_code #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# A experts weights of Jamba-v0.1
Required Weights for Follow-up Research
The original model is AI21lab's Jamba-v0.1, which requires an A100 80GB GPU. Unfortunately, this almonst was not available via Google Colab or cloud computing services. Thus, attempts were made to perform MoE (Mixture of Experts) splitting, ... | [
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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. -->
# robust_llm_pythia-1b_ian-022_PasswordMatch_n-its-3
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_ian-022_PasswordMatch_n-its-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_ian-022_PasswordMatch_n-its-3 | null | [
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"endpoints_compatible",
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] | null | 2024-04-19T08:33:52+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-1b_ian-022_PasswordMatch_n-its-3
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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null | transformers |
# Uploaded model
- **Developed by:** Chandrateja
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Chandrateja/lamma3-8b-oig-unsloth | null | [
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|
# Uploaded model
- Developed by: Chandrateja
- 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. -->
# llama-3-8B-instruct-function-calling
This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct-bnb-4bit](https://huggin... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "datasets": ["generator"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit", "model-index": [{"name": "llama-3-8B-instruct-function-calling", "results": []}]} | smangrul/llama-3-8B-instruct-function-calling | null | [
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| llama-3-8B-instruct-function-calling
====================================
This model is a fine-tuned version of unsloth/llama-3-8b-Instruct-bnb-4bit on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3908
Model description
-----------------
More information needed
Int... | [
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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": []} | bnv20/Llama-2-7b-ConsultAI-kor | 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:
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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. -->
# t5-small-finetuned-liputan6
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the id_liputan6... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["id_liputan6"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-small-finetuned-liputan6", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": ... | mdaffarudiyanto/t5-small-finetuned-liputan6 | null | [
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| t5-small-finetuned-liputan6
===========================
This model is a fine-tuned version of t5-small on the id\_liputan6 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4736
* Rouge1: 16.8519
* Rouge2: 8.2938
* Rougel: 15.684
* Rougelsum: 16.2027
* Gen Len: 19.0
Model description
---... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speaker-segmentation-fine-tuned-callhome-jpn
This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingfa... | {"license": "mit", "tags": ["speaker-diarization", "speaker-segmentation", "generated_from_trainer"], "datasets": ["diarizers-community/callhome"], "base_model": "pyannote/segmentation-3.0", "model-index": [{"name": "speaker-segmentation-fine-tuned-callhome-jpn", "results": []}]} | diarizers-community/speaker-segmentation-fine-tuned-callhome-jpn | null | [
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| speaker-segmentation-fine-tuned-callhome-jpn
============================================
This model is a fine-tuned version of pyannote/segmentation-3.0 on the diarizers-community/callhome jpn dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7653
* Der: 0.2311
* False Alarm: 0.0477
* Mis... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-70B-6.0bpw-h6-exl2 | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
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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": []} | cilantro9246/tsc7hbo | 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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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. -->
# 0.0_ablation_declr_4iters_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_declr_4iters_iter_2](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_declr_4iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_declr_4iters_iter_2", "model-index": [{"name": "0.0_ablation_declr_4iters_iter_3", "results": []}]} | ZhangShenao/0.0_ablation_declr_4iters_iter_3 | null | [
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# 0.0_ablation_declr_4iters_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_ablation_declr_4iters_iter_2 on the ZhangShenao/0.0_ablation_declr_4iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data... | [
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token-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": []} | Achuth7Achu/MalNER_v1 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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#arxiv-1910.09700 #region-us
|
# 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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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | pk3388/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7221
* Accuracy: 0.7737
Model description
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsil... | [
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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": "google/gemma-1.1-2b-it"} | SarwarShafee/Gemma2b_bangla_summaryType_story_generator | null | [
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text-generation | transformers |
Finetuned the Microsoft's Phi-2 model using the email dataset.
Model:
Step 300
Training Loss 0.054800
Validation Loss 0.050852
| {"license": "mit"} | anupam413/phi2-finetuned-lora | null | [
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Finetuned the Microsoft's Phi-2 model using the email dataset.
Model:
Step 300
Training Loss 0.054800
Validation Loss 0.050852
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
This is a [SetFit](https://github.com/huggingface/setfit) model trained on the [ag_news](https://huggingface.co/datasets/ag_news) dataset that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-MiniLM-L3-v2](https:/... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "datasets": ["ag_news"], "metrics": ["accuracy"], "widget": [{"text": "FSU-Miami Postponed Hurricane Frances forces the postponement of Monday's college football season opener between Florida ... | vincent1337/test_student_model | null | [
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| SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
=========================================================
This is a SetFit model trained on the ag\_news dataset that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-MiniLM-L3-v2 as the Sentence Transformer embeddin... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Mrolcraft
- **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"} | Mrolcraft/callrentin_7b_full_llama3 | null | [
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|
# Uploaded model
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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null | transformers |
# Uploaded model
- **Developed by:** rahulrouterabbit
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | rahulrouterabbit/lora_model_gguf | null | [
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|
# Uploaded model
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- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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text-generation | transformers |
# Uploaded model
- **Developed by:** goncaavci
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-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-2-7b-bnb-4bit"} | goncaavci/peft-llama-incident-factor-trail10 | null | [
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# Uploaded model
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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. -->
# robust_llm_pythia-14m_ian-022_IMDB_n-its-25
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_ian-022_IMDB_n-its-25", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_ian-022_IMDB_n-its-25 | null | [
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] | null | 2024-04-19T08:50:05+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-14m_ian-022_IMDB_n-its-25
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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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. -->
# results
This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-3](https://huggingface.co/sshleifer/distilbart-xsum-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "sshleifer/distilbart-xsum-12-3", "model-index": [{"name": "results", "results": []}]} | LA1512/bart-fine-tuning-FindSum-TextOnly | null | [
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| results
=======
This model is a fine-tuned version of sshleifer/distilbart-xsum-12-3 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6835
* Rouge1: 38.8257
* Rouge2: 10.9645
* Rougel: 19.5312
* Rougelsum: 33.4613
* Gen Len: 275.0
Model description
-----------------
More... | [
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null | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Mistral-7B-Instruct-v0.2_esnli_5000_3ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggi... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_esnli_5000_3ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_3ep | null | [
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# Mistral-7B-Instruct-v0.2_esnli_5000_3ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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text-generation | transformers |
## Model Details
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null | transformers |
# Uploaded model
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
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null | null |
# IDLS24 TEAM33
## SKA-TDNN with C=512 model and training-related logs
Architecture: [SKA-TDNN](https://arxiv.org/abs/2204.01005) but with C=512
Results on Vox1-O, after training on VoxCeleb1-dev
| EER (%) | minDCF|
|---------|-------|
|2.654| 0.175 | | {"license": "apache-2.0"} | alexgichamba/idls24_team33_vox1_ska_small | null | [
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=============
SKA-TDNN with C=512 model and training-related logs
---------------------------------------------------
Architecture: SKA-TDNN but with C=512
Results on Vox1-O, after training on VoxCeleb1-dev
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text-generation | transformers | ## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source ch... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT Meta Llama 3 Version Release Date: April 18, 2024\n\"Agreement... | NotAiLOL/Meta-Llama-3-8B-Instruct | null | [
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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. -->
# distilhubert-finetuned-gtzan
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name":... | NiloofarMomeni/distilhubert-finetuned-gtzan | null | [
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| distilhubert-finetuned-gtzan
============================
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5627
* Accuracy: 0.8582
Model description
-----------------
More information needed
Intended uses & lim... | [
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text-to-image | null | ## Model
 | {"tags": ["stable-diffusion", "text-to-image", "StableDiffusionPipeline", "lora"]} | fearvel/cutifiedanimecharacterdesign-variant-type-d-sd | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | marcellopoliti/llama3-8b-transaction | 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 |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | LoneStriker/Meta-Llama-3-70B-3.5bpw-h6-exl2 | null | [
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| Model Details
-------------
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# QAmembertTest
This model is a fine-tuned version of [CATIE-AQ/QAmembert](https://huggingface.co/CATIE-AQ/QAmembert) on the gener... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "datasets": ["generator"], "base_model": "CATIE-AQ/QAmembert", "model-index": [{"name": "QAmembertTest", "results": []}]} | carloswbarros/QAmembertTest | null | [
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|
# QAmembertTest
This model is a fine-tuned version of CATIE-AQ/QAmembert 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
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# MelioAI/dyu-fr-t5-small
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It ac... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "t5-small", "model-index": [{"name": "MelioAI/dyu-fr-t5-small", "results": []}]} | MelioAI/dyu-fr-t5-small | null | [
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| MelioAI/dyu-fr-t5-small
=======================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 3.2560
* Validation Loss: 2.9905
* Epoch: 4
Model description
-----------------
More information needed
Intended uses & l... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# ruanmelio/dyu-fr-t5-small
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It ... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "t5-small", "model-index": [{"name": "ruanmelio/dyu-fr-t5-small", "results": []}]} | ruanmelio/dyu-fr-t5-small | null | [
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| ruanmelio/dyu-fr-t5-small
=========================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 3.3119
* Validation Loss: 3.0330
* Epoch: 3
Model description
-----------------
More information needed
Intended uses... | [
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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. -->
# G-22
This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on an unknown dataset... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b-it", "model-index": [{"name": "G-22", "results": []}]} | AJosh/G-22 | null | [
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# G-22
This model is a fine-tuned version of google/gemma-2b-it on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following... | [
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text-generation | transformers | 
## VAGO solutions SauerkrautLM-7b-LaserChat
Introducing **SauerkrautLM-7b-LaserChat** – our Sauerkraut version of the powerful [openchat/openchat-3.5-0106](https://huggingface.co/openchat/openchat-... | {"language": ["en", "de"], "license": "apache-2.0", "library_name": "transformers", "tags": ["finetune", "sft", "dpo", "laser", "augmentation", "german", "english", "gguf"], "pipeline_tag": "text-generation"} | mayflowergmbh/SauerkrautLM-7b-LaserChat-GGUF | null | [
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| !SauerkrautLM
VAGO solutions SauerkrautLM-7b-LaserChat
----------------------------------------
Introducing SauerkrautLM-7b-LaserChat – our Sauerkraut version of the powerful openchat/openchat-3.5-0106 !
The model SauerkrautLM-7b-LaserChat is a joint effort between VAGO solutions and URL.
Much appreciation goes t... | [
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text-generation | null | # Meta-Llama-3-70B-Instruct-GGUF
- This is GGUF quantized version of [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) created using llama.cpp
- **Re-uploaded with new end token**
## Model Details
Meta developed and released the Meta Llama 3 family of large language ... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Ll... | QuantFactory/Meta-Llama-3-70B-Instruct-GGUF | null | [
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#gguf #facebook #meta #pytorch #llama #llama-3 #text-generation #en #base_model-meta-llama/Meta-Llama-3-70B-Instruct #license-other #region-us
| Meta-Llama-3-70B-Instruct-GGUF
==============================
* This is GGUF quantized version of meta-llama/Meta-Llama-3-70B-Instruct created using URL
* Re-uploaded with new end token
Model Details
-------------
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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-qlora
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignm... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["updated", "original"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-dpo-qlora", "results": []}]} | YYYYYYibo/zephyr-7b-dpo-qlora | null | [
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#peft #safetensors #mistral #alignment-handbook #generated_from_trainer #trl #dpo #dataset-updated #dataset-original #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #4-bit #region-us
| zephyr-7b-dpo-qlora
===================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-qlora on the updated and the original datasets.
It achieves the following results on the evaluation set:
* Loss: 0.5735
* Rewards/chosen: -0.6770
* Rewards/rejected: -1.1070
* Rewards/accuracies: 0.6940
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n*... | [
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feature-extraction | 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. -->
# test_gemma_deep
This model is a fine-tuned version of [El-chapoo/test_gemma_deep](https://huggingface.co/El-chapoo/test_gemma_de... | {"tags": ["generated_from_trainer"], "base_model": "El-chapoo/test_gemma_deep", "model-index": [{"name": "test_gemma_deep", "results": []}]} | El-chapoo/test_gemma_deep | null | [
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#transformers #tensorboard #safetensors #gemma #feature-extraction #generated_from_trainer #base_model-El-chapoo/test_gemma_deep #endpoints_compatible #text-generation-inference #region-us
|
# test_gemma_deep
This model is a fine-tuned version of El-chapoo/test_gemma_deep on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamet... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-large-xls-r-300m-upper-sorbian-pl-frozen-colab
This model is a fine-tuned version of [](https://huggingface.co/) on the... | {"tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "metrics": ["wer"], "model-index": [{"name": "wav2vec2-large-xls-r-300m-upper-sorbian-pl-frozen-colab", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "common_voice_16_1", ... | badrabdullah/wav2vec2-large-xls-r-300m-upper-sorbian-pl-frozen-colab | null | [
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#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_16_1 #model-index #endpoints_compatible #region-us
| wav2vec2-large-xls-r-300m-upper-sorbian-pl-frozen-colab
=======================================================
This model is a fine-tuned version of [](URL on the common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7512
* Wer: 0.3985
* Cer: 0.0926
Model description
--... | [
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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": []} | Sajjo/w2v-bert-2.0-tamil-gpu-custom_v6 | 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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