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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Olethros-8B/resolve/main/olethros.png>
L3-8b-Instruct tuned on roughly 6000 Opus generations in the hopes of adding a bit of sovl. | {"license": "llama3", "datasets": ["lodrick-the-lafted/OpusStories", "lodrick-the-lafted/Sao10K_Claude-3-Opus-Instruct-3.3K", "lodrick-the-lafted/Samantha-Opus", "lodrick-the-lafted/Worldsim-Opus"]} | blockblockblock/Olethros-8B-bpw6-exl2 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Eric-Lan/stack-llama-2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
<!-- 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. -->
# G0428HMA8
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "G0428HMA8", "results": []}]} | Litzy619/G0428HMA8 | null | [
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| G0428HMA8
=========
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1108
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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null | null |
<!-- 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. -->
# G0428HMA9
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "G0428HMA9", "results": []}]} | Litzy619/G0428HMA9 | null | [
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#safetensors #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| G0428HMA9
=========
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
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* Loss: 0.1027
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemma-2b-dolly-qa
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown ... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-2b-dolly-qa", "results": []}]} | apfurman/gemma-2b-dolly-qa | null | [
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|
# gemma-2b-dolly-qa
This model is a fine-tuned version of google/gemma-2b 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... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tulu2-7b-cost-UF-UI-5e-7
This model is a fine-tuned version of [allenai/tulu-2-7b](https://huggingface.co/allenai/tulu-2-7b) on ... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-7b", "model-index": [{"name": "tulu2-7b-cost-UF-UI-5e-7", "results": []}]} | just1nseo/tulu2-7b-cost-UF-UI-5e-7 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-allenai/tulu-2-7b #region-us
| tulu2-7b-cost-UF-UI-5e-7
========================
This model is a fine-tuned version of allenai/tulu-2-7b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6930
* Rewards/chosen: 0.0111
* Rewards/rejected: 0.0080
* Rewards/accuracies: 0.5405
* Rewards/margins: 0.0031
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text-generation | transformers |
# Phi-3 Mini-128K-Instruct ONNX model for onnxruntime-web
This is the same models as the [official phi3 onnx model](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct-onnx) with a few changes to make it work for onnxruntime-web:
1. the model is fp16 with int4 block quantization for weights
2. the 'logits' outp... | {"license": "mit", "tags": ["ONNX", "DML", "ONNXRuntime", "phi3", "nlp", "conversational", "custom_code"], "pipeline_tag": "text-generation"} | schmuell/phi3-int4 | null | [
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|
# Phi-3 Mini-128K-Instruct ONNX model for onnxruntime-web
This is the same models as the official phi3 onnx model with a few changes to make it work for onnxruntime-web:
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | vicha-w/ppo-SnowballTarget | null | [
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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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": []} | PurCL/codeart-3m | 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": []} | PurCL/codeart-3m-max_trans_closure_4 | 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": []} | PurCL/codeart-3m-max_trans_closure_6 | null | [
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# Model Card for Model ID
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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": []} | PurCL/codeart-3m-wo_local_mask | 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": []} | PurCL/codeart-3m-wo_rel_pos_bias | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tulu2-7b-cost-UF-UI-HHRLHF-5e-7
This model is a fine-tuned version of [allenai/tulu-2-7b](https://huggingface.co/allenai/tulu-2-... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-7b", "model-index": [{"name": "tulu2-7b-cost-UF-UI-HHRLHF-5e-7", "results": []}]} | just1nseo/tulu2-7b-cost-UF-UI-HHRLHF-5e-7 | null | [
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| tulu2-7b-cost-UF-UI-HHRLHF-5e-7
===============================
This model is a fine-tuned version of allenai/tulu-2-7b on the None dataset.
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* Rewards/chosen: -0.0447
* Rewards/rejected: -0.0566
* Rewards/accuracies: 0.5810
* Rewards/margins: 0... | [
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null | null |
# Learning Huggingface
* Created a model
* Created a space
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| {"language": ["en", "ko"], "license": "mit", "tags": ["demo", "tayaee"], "datasets": ["dataset1", "dataset2"], "metrics": ["metric1", "metric2"], "thumbnail": "url to a thumbnail used in social sharing", "base_model": "meta-llama/Meta-Llama-3-8B"} | tayaee/demo1 | 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": []} | PurCL/codeart-3m-wo_trans_closure | 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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text-generation | transformers | datasets:
- qiaojin/PubMedQA
- kroshan/BioASQ
language:
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library_name: transformers
pipeline_tag: table-question-answering
tags:
- chemistry
- biology
- molecular
- synthetic
- language model
Description:
This model is an example of how a fine-tuned LLM even without the full depth, size, and complex... | {"tags": ["4th gen xeon"]} | pikhan/gpt2-medium-biochem-bioasq-pubmedqa-demo | null | [
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| datasets:
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image-segmentation | 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. -->
# segformer-b5-p142-cvat-vgs
This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on the vi... | {"license": "other", "tags": ["vision", "image-segmentation", "generated_from_trainer"], "base_model": "nvidia/mit-b5", "model-index": [{"name": "segformer-b5-p142-cvat-vgs", "results": []}]} | vigneshgs7/segformer-b5-p142-cvat-vgs | null | [
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| segformer-b5-p142-cvat-vgs
==========================
This model is a fine-tuned version of nvidia/mit-b5 on the vigneshgs7/segformer\_open\_cv\_RGB\_L\_0\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0131
* Mean Iou: 0.4961
* Mean Accuracy: 0.9922
* Overall Accuracy: 0.9922
* Accur... | [
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text-generation | transformers | # mistral-orpo-mix-7k
This model is a ORPO full fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the argilla/dpo-mix-7k dataset with the [huggingface/alignment-handbook](https://github.com/huggingface/alignment-handbook).
## Training procedure
Trained for 4.5 hou... | {"language": ["en"], "license": "apache-2.0", "tags": ["alignment-handbook", "trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/dpo-mix-7k"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-orpo-mix-7k", "results": []}]} | eduagarcia/mistral-orpo-mix-7k | null | [
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| # mistral-orpo-mix-7k
This model is a ORPO full fine-tuned version of mistralai/Mistral-7B-v0.1 on the argilla/dpo-mix-7k dataset with the huggingface/alignment-handbook.
## Training procedure
Trained for 4.5 hours on 1xA100
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-pixelcopter-01", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter... | Fk24/Reinforce-pixelcopter-01 | null | [
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_Korean_v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](htt... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_Korean_v1", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_Korean_v1 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_arc_Korean_v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
##... | [
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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": []} | happylayers/sc75 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# lmd-8bars-2048-epochs10
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achiev... | {"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "lmd-8bars-2048-epochs10", "results": []}]} | hardikpatel/GPT2_Music_Generation_Trained | null | [
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| lmd-8bars-2048-epochs10
=======================
This model is a fine-tuned version of gpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0086
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
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text-generation | transformers |
# Umi-7B-Mistral-HP-0
Umi-7B-Mistral-HP-0 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
* [ajibawa-2023/WikiHow-Mistral-Instruct-7B](https://huggingface.co/ajibawa-2023/WikiH... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "NousResearch/Hermes-2-Pro-Mistral-7B", "ajibawa-2023/WikiHow-Mistral-Instruct-7B"]} | Bandid/Umi-7B-Mistral-HP-0 | null | [
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|
# Umi-7B-Mistral-HP-0
Umi-7B-Mistral-HP-0 is a merge of the following models using mergekit:
* NousResearch/Hermes-2-Pro-Mistral-7B
* ajibawa-2023/WikiHow-Mistral-Instruct-7B
## Configuration
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null | null |
# synCAI-144k-llama3
## Overview
synCAI-144k-llama3 is a large language model trained on the synCAI144kda dataset, designed to advance AI and consciousness studies. The model leverages 144,000 synthetic data points to build a comprehensive understanding of consciousness topics, making it suitable for various AI appli... | {"license": "llama3"} | InnerI/synCAI-144k-llama3 | null | [
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|
# synCAI-144k-llama3
## Overview
synCAI-144k-llama3 is a large language model trained on the synCAI144kda dataset, designed to advance AI and consciousness studies. The model leverages 144,000 synthetic data points to build a comprehensive understanding of consciousness topics, making it suitable for various AI appli... | [
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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. -->
# llama3-8b_readme_summarization
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-ll... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "llama3-8b_readme_summarization", "results": []}]} | bunbohue/llama3-8b_readme_summarization_instruct | null | [
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================================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6496
Model description
-----------------
More information needed
Intended uses & limitation... | [
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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. -->
# SwinV2-GPT2_Mimic
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the follo... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "SwinV2-GPT2_Mimic", "results": []}]} | ChayanM/SwinV2-GPT2_Mimic | null | [
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| SwinV2-GPT2\_Mimic
==================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1623
* Rouge1: 30.2654
* Rouge2: 21.4825
* Rougel: 30.2471
* Rougelsum: 30.3167
* Gen Len: 9.0
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": []} | shallow6414/id2j1fw | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/cjs4ccl | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/racbfx7 | null | [
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null | transformers |
# hus960/jaskier-7b-dpo-v6.1-Q4_K_M-GGUF
This model was converted to GGUF format from [`bardsai/jaskier-7b-dpo-v6.1`](https://huggingface.co/bardsai/jaskier-7b-dpo-v6.1) 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... | {"language": ["en"], "license": "cc-by-4.0", "library_name": "transformers", "tags": ["llm", "7b", "llama-cpp", "gguf-my-repo"], "datasets": ["jondurbin/truthy-dpo-v0.1"]} | hus960/jaskier-7b-dpo-v6.1-Q4_K_M-GGUF | null | [
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] | null | 2024-04-28T18:37:53+00:00 | [] | [
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|
# hus960/jaskier-7b-dpo-v6.1-Q4_K_M-GGUF
This model was converted to GGUF format from 'bardsai/jaskier-7b-dpo-v6.1' 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:... | [
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text-generation | transformers |
# saiga-phi-3-mini-4k
saiga-phi-3-mini-4k is an SFT fine-tuned version of microsoft/Phi-3-mini-4k-instruct using a custom training dataset.
This model was made with [Phinetune]()
## Process
- Learning Rate: 1.41e-05
- Maximum Sequence Length: 2048
- Dataset: IlyaGusev/ru_turbo_saiga
- Split: train
## 💻 Usage
```py... | {"license": "cc-by-4.0"} | Slavator096/saiga-phi-3-mini-4k | null | [
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"custom_code",
"license:cc-by-4.0",
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"region:us"
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#transformers #safetensors #phi3 #text-generation #conversational #custom_code #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us
|
# saiga-phi-3-mini-4k
saiga-phi-3-mini-4k is an SFT fine-tuned version of microsoft/Phi-3-mini-4k-instruct using a custom training dataset.
This model was made with [Phinetune]()
## Process
- Learning Rate: 1.41e-05
- Maximum Sequence Length: 2048
- Dataset: IlyaGusev/ru_turbo_saiga
- Split: train
## Usage
| [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | ujjwalgarg/distilbert-base-uncased-finetuned-emotion | null | [
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] | null | 2024-04-28T18:44:40+00:00 | [] | [] | TAGS
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2221
* Accuracy: 0.9245
* F1: 0.9244
Model description
-----------------
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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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": []} | Odeusys/mistral_emails | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# 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": []} | pruning/2bqwk13 | 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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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_French_v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](htt... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_French_v1", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_French_v1 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_arc_French_v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
##... | [
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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": []} | anushkat/NLPM3_DistilGP2-Beatles-Lyrics-finetuned | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | transformers |
# Uploaded model
- **Developed by:** Llamarider222
- **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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Llamarider222/llama-3-8b | null | [
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|
# Uploaded model
- Developed by: Llamarider222
- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | ulasfiliz954/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
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text-generation | transformers |
# Hypothesentrainer: LLM für Feedback auf Schülerhypothesen
Deutschsprachiges LLM, das basierend auf biologischen Forschungsfragen, Schülerhypothesn und Feedback von GPT-4-Turbo mittels Fine-Tuning auf diese spezifische Aufgabe
angepasst wurde.
Das Feedback von GPT-4 wurde mittels eines größeren Prompts so angepasst,... | {"library_name": "transformers", "tags": []} | Tobistd/hypothesen-13b | null | [
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| Hypothesentrainer: LLM für Feedback auf Schülerhypothesen
=========================================================
Deutschsprachiges LLM, das basierend auf biologischen Forschungsfragen, Schülerhypothesn und Feedback von GPT-4-Turbo mittels Fine-Tuning auf diese spezifische Aufgabe
angepasst wurde.
Das Feedback von ... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | vicha-w/ppo-Pyramids | null | [
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|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/r4dp3jy | 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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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-ar
This model is a fine-tuned version of [tner/xlm-roberta-base-panx-dataset-ar](https://hugging... | {"tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "tner/xlm-roberta-base-panx-dataset-ar", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-ar", "results": []}]} | RamziZayed/xlm-roberta-base-finetuned-panx-ar | null | [
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| xlm-roberta-base-finetuned-panx-ar
==================================
This model is a fine-tuned version of tner/xlm-roberta-base-panx-dataset-ar on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1977
* F1: 0.8803
Model description
-----------------
More information neede... | [
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text-generation | peft |
# Model Card for molbal/drama-mistral
Text completion model trained on public domain novels.
## Model Details
### Model Description
This model is trained on a large corpus of novels from various drama categories, including detective fiction, crime nonfiction,
mystery fiction, gothic fiction, horror, romantic f... | {"language": ["en"], "license": "apache-2.0", "library_name": "peft", "tags": ["art"], "datasets": ["molbal/dramallama-novels"], "base_model": "unsloth/mistral-7b-v0.2-bnb-4bit", "pipeline_tag": "text-generation"} | molbal/drama-mistral | null | [
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|
# Model Card for molbal/drama-mistral
Text completion model trained on public domain novels.
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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": []} | Reihaneh/wav2vec2_fy_nl_en_de_common_voice_16 | null | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | mendozalopez/futurama | null | [
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#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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image-classification | null | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
Using the dataset provided, only the spirals were used for training. Detecting accuracy is below 10%.
Version not useful.
## Model Details
### Model Description
- **Developed by:** Jeroen den Otter
- **Funded by :** Minnesota St... | {"language": ["en"], "license": "apache-2.0", "datasets": ["IT-Guy007/Galaxy-detection-data"], "pipeline_tag": "image-classification"} | IT-Guy007/YoloV9e-v2 | null | [
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| # Model Card for Model ID
Using the dataset provided, only the spirals were used for training. Detecting accuracy is below 10%.
Version not useful.
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | mendozalopez/entregable2 | null | [
"fastai",
"region:us"
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# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | BotoxBernd/Schema-Links-mistral-7B-v0.1 | 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 Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | Dam-Buty/phimily-0.1 | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
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fill-mask | 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. -->
# SaimaAyub/roberta-base-finetuned-wikitext2
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) o... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "roberta-base", "model-index": [{"name": "SaimaAyub/roberta-base-finetuned-wikitext2", "results": []}]} | SaimaAyub/roberta-base-finetuned-wikitext2 | null | [
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] | null | 2024-04-28T19:17:14+00:00 | [] | [] | TAGS
#transformers #tf #roberta #fill-mask #generated_from_keras_callback #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| SaimaAyub/roberta-base-finetuned-wikitext2
==========================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.5061
* Validation Loss: 1.4342
* Epoch: 1
Model description
-----------------
M... | [
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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. -->
# 0.0001_4iters_bs256_nodpo_only4w_iter_5
This model is a fine-tuned version of [ShenaoZhang/0.0001_4iters_bs256_nodpo_only4w_iter... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.0001_4iters_bs256_nodpo_only4w_iter_4", "model-index": [{"name": "0.0001_4iters_bs256_nodpo_only4w_iter_5", "results": []}]} | ShenaoZhang/0.0001_4iters_bs256_nodpo_only4w_iter_5 | null | [
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# 0.0001_4iters_bs256_nodpo_only4w_iter_5
This model is a fine-tuned version of ShenaoZhang/0.0001_4iters_bs256_nodpo_only4w_iter_4 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/2sc0dwn | 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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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_German_v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](htt... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_German_v1", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_German_v1 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_arc_German_v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
##... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth", "trl", "sft"]} | basakerdogan/cyber-jarvis-llama3-4bit | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/otdyfg0 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | lunarsylph/stablecell_v47 | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# hus960/multimaster-7b-v6-Q4_K_M-GGUF
This model was converted to GGUF format from [`ibivibiv/multimaster-7b-v6`](https://huggingface.co/ibivibiv/multimaster-7b-v6) 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://h... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "model-index": [{"name": "multimaster-7b-v6", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "con... | hus960/multimaster-7b-v6-Q4_K_M-GGUF | null | [
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|
# hus960/multimaster-7b-v6-Q4_K_M-GGUF
This model was converted to GGUF format from 'ibivibiv/multimaster-7b-v6' 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:
... | [
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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. -->
# zephyr-7b-gemma-sft-african-ultrachat-2000k
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/googl... | {"license": "gemma", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["masakhane/african-ultrachat", "israel/untrachat_en"], "base_model": "google/gemma-7b", "model-index": [{"name": "zephyr-7b-gemma-sft-african-ultrachat-2000k", "results": []}... | masakhane/zephyr-7b-gemma-sft-african-ultrachat-200k | null | [
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"base_model:google/gemma-7b",
"license:gemma",
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"endpoin... | null | 2024-04-28T19:28:04+00:00 | [] | [] | TAGS
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| zephyr-7b-gemma-sft-african-ultrachat-2000k
===========================================
This model is a fine-tuned version of google/gemma-7b on the masakhane/african-ultrachat and the israel/untrachat\_en datasets.
It achieves the following results on the evaluation set:
* Loss: 1.1549
Model description
--------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/8tk5skx | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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_DPO_model
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama_DPO_model", "results": []}]} | thorirhrafn/llama_DPO_model | null | [
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"base_model:meta-llama/Llama-2-7b-hf",
"license:llama2",
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#peft #tensorboard #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #license-llama2 #region-us
| llama\_DPO\_model
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2506
* Rewards/chosen: 0.2764
* Rewards/rejected: -1.0388
* Rewards/accuracies: 1.0
* Rewards/margins: 1.3152
* Logps/rejected:... | [
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text-generation | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
A fine-tuned Llama-3-8B-instruct trained to provide initial support and guidance in mental health by leveraging the power of large language models (LLMs).
It's a fine-tuned version of the LLaMA 3 model specifically trained on mental... | {"license": "mit", "library_name": "peft", "tags": ["SFT", "PEFT", "Mental Health", "Psychotherapy", "Fine-tuning", "Text Generation", "Chatbot"], "datasets": ["mpingale/mental-health-chat-dataset", "Amod/mental_health_counseling_conversations", "heliosbrahma/mental_health_chatbot_dataset"], "widget": [{"example_title"... | zementalist/llama-3-8B-chat-psychotherapist | null | [
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"dataset:heliosbrahma/m... | null | 2024-04-28T19:32:08+00:00 | [] | [] | TAGS
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=======================
A fine-tuned Llama-3-8B-instruct trained to provide initial support and guidance in mental health by leveraging the power of large language models (LLMs).
It's a fine-tuned version of the LLaMA 3 model specifically trained on mental health counseling conversations.
<i... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mi... | {"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_instruct_generation", "results": []}]} | Cem13/mistral_instruct_generation | null | [
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"license:apache-2.0",
"region:us"
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| mistral\_instruct\_generation
=============================
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: 0.8488
Model description
-----------------
More information needed
Intended uses & lim... | [
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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":... | Joalbom14/a2c-PandaReachDense-v3 | null | [
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"PandaReachDense-v3",
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"reinforcement-learning",
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"region:us"
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#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-generation | transformers | # NPC Model
This repo contains the domain-specific NPC model we've fined-tuned from **Phi-3**, using LoRA.
This model parses a text description of a game scene, and outputs commands like:
* `say <player1> "Hello Adventurer, care to join me on a quest?`
* `greet <player1>`
* `attack <player1>`
* Any other `<action> <... | {"language": ["en"], "license": "mit"} | Gigax/NPC-LLM-3_8B | null | [
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#transformers #safetensors #phi3 #text-generation #conversational #custom_code #en #license-mit #autotrain_compatible #endpoints_compatible #region-us
| # NPC Model
This repo contains the domain-specific NPC model we've fined-tuned from Phi-3, using LoRA.
This model parses a text description of a game scene, and outputs commands like:
* 'say <player1> "Hello Adventurer, care to join me on a quest?'
* 'greet <player1>'
* 'attack <player1>'
* Any other '<action> <para... | [
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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_model
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral_model", "results": []}]} | zeyadusf/mistral_model | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"region:us"
] | null | 2024-04-28T19:40:27+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #region-us
| mistral\_model
==============
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6346
* Accuracy: 0.9
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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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. -->
# banglat5-bcoqa
This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on the No... | {"tags": ["generated_from_trainer"], "base_model": "csebuetnlp/banglat5", "model-index": [{"name": "banglat5-bcoqa", "results": []}]} | arbitropy/banglat5-bcoqa | null | [
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| banglat5-bcoqa
==============
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4135
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inform... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 6\n* eval\\_batch\\_size: 6\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_Italian_v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](ht... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_Italian_v1", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_Italian_v1 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_arc_Italian_v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
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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/final21 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# xsum_aligned_smallT5_full
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["lilferrit/xsum_t5_distillation"], "metrics": ["rouge"], "base_model": "google-t5/t5-small", "model-index": [{"name": "xsum_aligned_smallT5_full", "results": [{"task": {"type": "summarization", "name": "Summarization"}, "dataset": {"name": "lilf... | paulh27/xsum_aligned_smallT5_full | null | [
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| xsum\_aligned\_smallT5\_full
============================
This model is a fine-tuned version of google-t5/t5-small on the lilferrit/xsum\_t5\_distillation dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4093
* Rouge1: 22.8498
* Rouge2: 4.7818
* Rougel: 17.2861
* Rougelsum: 18.0665
* Gen ... | [
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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": []} | uday91/Llama-2-7b-chat-finetune-new2 | 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 |
# Griffon-7B-Model_Stock
Griffon-7B-Model_Stock is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: ResplendentAI/Datura_7B
- model: ResplendentAI/Paradigm_7B
- model: Dread... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"]} | DreadPoor/Griffon-7B-Model_Stock | null | [
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|
# Griffon-7B-Model_Stock
Griffon-7B-Model_Stock is a merge of the following models using LazyMergekit:
## 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": []} | golf2248/3adrn5n | null | [
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|
# Model Card for Model ID
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Ketki0203/punctuation-predict
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-mu... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "bert-base-multilingual-cased", "model-index": [{"name": "sejaltapdiya/punctuation-predict", "results": []}]} | sejaltapdiya/punctuation-predict | null | [
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| Ketki0203/punctuation-predict
=============================
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: nan
* Validation Loss: nan
* Epoch: 2
Model description
-----------------
More information ... | [
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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": []} | zura1101/gemma_peft_model_emotion_detection | null | [
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text-generation | transformers | This is a 4-bit quantized version of Phi-3 4k Instruct.
Quantization done with:
```
bnb_config = BitsAndBytesConfig(
load_in_4bit = True,
bnb_4bit_use_double_quant = True,
bnb_4bit_quant_type = 'nf4',
bnb_4bit_compute_dtype = torch.bfloat16
)
model = AutoModelForCausalLM.from_pretrained(
foundat... | {} | bongodongo/phi-3-mini-4k-instruct-q4 | null | [
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"endpoints_compatible",
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#transformers #safetensors #phi3 #text-generation #conversational #custom_code #autotrain_compatible #endpoints_compatible #4-bit #region-us
| This is a 4-bit quantized version of Phi-3 4k Instruct.
Quantization done with:
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null | transformers |
# Uploaded model
- **Developed by:** EternalRecursion
- **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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | EternalRecursion/llm_clone_llama | null | [
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|
# Uploaded model
- Developed by: EternalRecursion
- License: apache-2.0
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<img src="URL width="200"/>
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_Japanese_v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](h... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_Japanese_v1", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_Japanese_v1 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_arc_Japanese_v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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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": []} | pruning/e0d4h8r | null | [
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null | transformers |
# Uploaded model
- **Developed by:** xiaoliy2
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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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 |
# Uploaded model
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/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. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_Spanish_v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](ht... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_Spanish_v1", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_Spanish_v1 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_arc_Spanish_v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
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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/iq1cak0 | null | [
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null | transformers |
# Persian Therapist Model: Dr. Aram and Mohammad
This mod... | {"language": ["fa"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["LLM", "therapist", "llama-3", "llama"], "base_model": "meta-llama/Meta-Llama-3-8B"} | ViraIntelligentDataMining/Persian-Therapist-Llama-3-8B | null | [
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# Persian Therapist Model: Dr. Aram and Mohammad
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text-generation | transformers |
**This model is not affiliated with AI2.**
AI2 did not release an OLMo 1B Instruct model, so this is a version of OLMo 1B fine-tuned only on LIMA, for use in compute-limited experiments. We used the [Tulu codebase](https://github.com/allenai/open-instruct) and fine-tuned for 2 epochs with lr=2e-5.
For more informat... | {"language": ["en"], "license": "apache-2.0", "tags": ["olmo"], "datasets": ["GAIR/lima"]} | davidheineman/OLMo-1B-Instruct | null | [
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This model is not affiliated with AI2.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/svrkr2s | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/txnpazh | 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": []} | Alaa18/Assistant_chatbot_Mistral | null | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_mlm_model
This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilroberta-base", "model-index": [{"name": "my_awesome_eli5_mlm_model", "results": []}]} | AmalNlal/my_awesome_eli5_mlm_model | null | [
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| my\_awesome\_eli5\_mlm\_model
=============================
This model is a fine-tuned version of distilbert/distilroberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 4.0684
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.1\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | acayir64/phi-3-colab-sft-merged | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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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. -->
# 0.0001_3iters_bs256_nodpo_full6w_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggin... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0001_3iters_bs256_nodpo_full6w_iter_1", "results": []}]} | ShenaoZhang/0.0001_3iters_bs256_nodpo_full6w_iter_1 | null | [
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|
# 0.0001_3iters_bs256_nodpo_full6w_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information neede... | [
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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. -->
# Textual inversion text2image fine-tuning - janetsw/pil
These are textual inversion adaption weights for stabilityai/stab... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "stabilityai/stable-diffusion-2-1-base", "inference": true} | janetsw/pil | null | [
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|
# Textual inversion text2image fine-tuning - janetsw/pil
These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1-base. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of latent iss... | [
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text-generation | transformers |
Fine-tuned [Merlinite-7B](https://huggingface.co/ibm/merlinite-7b) on OpenShift 4.15 documentation using 28606 Q&A pairs.
### Method
The Q&A corpus was generated using the following methodology:
1. Generated 5 Q&A pairs for each page on OpenShift (OCP) 4.15 PDFs with lengths greater than 1500 characters. The length ... | {"language": ["en"], "license": "apache-2.0"} | boricua/merlinite-7b-ocp4.15-v0.1 | null | [
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Fine-tuned Merlinite-7B on OpenShift 4.15 documentation using 28606 Q&A pairs.
### Method
The Q&A corpus was generated using the following methodology:
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# sejaltapdiya/gpt5-7xlarge
This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cas... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/muril-base-cased", "model-index": [{"name": "sejaltapdiya/gpt5-7xlarge", "results": []}]} | sejaltapdiya/gpt5-7xlarge | null | [
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| sejaltapdiya/gpt5-7xlarge
=========================
This model is a fine-tuned version of google/muril-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: nan
* Validation Loss: nan
* Epoch: 2
Model description
-----------------
More information needed
Inte... | [
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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": []} | happylayers/sc76 | null | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HanzhiZhang/CSCE5218_01percent | null | [
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null | peft |
# Oolong
This model is the merge of [unsloth/llama-3-8b-Instruct]([https://huggingface.co/unsloth/llama-3-8b-Instruct) and [tarob0ba/Oolong-Llama-3-8B-lora](https://huggingface.co/tarob0ba/Oolong-Llama-3-8B-lora). | {"library_name": "peft", "base_model": "unsloth/llama-3-8b-Instruct"} | tarob0ba/Oolong-Llama-3-8B | null | [
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#peft #safetensors #llama #base_model-unsloth/llama-3-8b-Instruct #region-us #has_space
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# Oolong
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