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<!-- 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. -->
# gemma7b
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-7b", "model-index": [{"name": "gemma7b", "results": []}]} | iTia/gemma7b | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-google/gemma-7b #license-gemma #region-us
|
# gemma7b
This model is a fine-tuned version of google/gemma-7b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The follow... | [
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null | null |
### RWKV EagleX 7B v2 Model
> **!Important!: This is not meant to be used with h... | {"language": ["en"], "license": "apache-2.0", "datasets": ["cerebras/SlimPajama-627B", "EleutherAI/pile"]} | RWKV/v5-EagleX-v2-7B-pth | null | [
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#en #dataset-cerebras/SlimPajama-627B #dataset-EleutherAI/pile #license-apache-2.0 #has_space #region-us
| !An eagle flying high up in the sky
### RWKV EagleX 7B v2 Model
>
> !Important!: This is not meant to be used with huggingface transformers library
>
> Use the Hugging Face varient instead, found here (v5-EagleX-v2-7B-HF)
>
>
> The following is the raw representation of the EagleX 7B v2 model. For use with o... | [
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text-generation | transformers | # WizardLaker 7B
This is a merge of the new WizardLM 2 7B model with my custom DolphinLake Model(https://huggingface.co/Noodlz/DolphinLake-7B). Seems to perform well. will be submitting for evals on ... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | Noodlz/WizardLaker-7B | null | [
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"text-generation-inference",
"region:us"
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| # WizardLaker 7B
!image/png
This is a merge of the new WizardLM 2 7B model with my custom DolphinLake Model(URL Seems to perform well. will be submitting for evals on openLLM leaderboards.
Created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using amazin... | [
"# WizardLaker 7B\n\n!image/png\n\nThis is a merge of the new WizardLM 2 7B model with my custom DolphinLake Model(URL Seems to perform well. will be submitting for evals on openLLM leaderboards.\nCreated using mergekit.",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | kai-oh/mistral-7b-ift-best-v4-hf | 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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text-generation | transformers |
# flammen18X-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on [ResplendentAI/NSFW_RP_Format_DPO](https://huggingface.co/datasets/ResplendentAI/NSFW_RP_Format_DPO).
Flammen specializes ... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["nsfw", "not-for-all-audiences"], "datasets": ["ResplendentAI/NSFW_RP_Format_DPO"], "base_model": ["flammenai/flammen18-mistral-7B"]} | flammenai/flammen18X-mistral-7B | null | [
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|
!image/png
# flammen18X-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on ResplendentAI/NSFW_RP_Format_DPO.
Flammen specializes in exceptional character roleplay, creative writing, and general intelligence
### Method
Finetuned using an A100 on Google Colab.
Fine-tune a Mistral-7b... | [
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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. -->
# GUE_mouse_1-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_1-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_65536_512_47M-L32_all | null | [
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"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-04-17T04:51:37+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_mouse\_1-seqsight\_65536\_512\_47M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4685
* F1 Score: 0.79... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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. -->
# model_hh_shp1_400
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_shp1_400", "results": []}]} | guoyu-zhang/model_hh_shp1_400 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_hh\_shp1\_400
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.0567
* Rewards/chosen: -14.7249
* Rewards/rejected: -15.7125
* Rewards/accuracies: 0.5500
* Rewards/margins: 0.9876
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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. -->
# GUE_mouse_4-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_4-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_65536_512_47M-L32_all | null | [
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"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-04-17T04:52:08+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_mouse\_4-seqsight\_65536\_512\_47M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9630
* F1 Score: 0.53... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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-car0004-addrealimg
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-wind... | {"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-car0004-addrealimg", "results": [{"task": {"type": "image-classification", "name": ... | tsware/swin-tiny-patch4-window7-224-finetuned-car0004-addrealimg | null | [
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| swin-tiny-patch4-window7-224-finetuned-car0004-addrealimg
=========================================================
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: 0.0102
* Accuracy: 0.9969
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# GUE_mouse_3-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_3-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_65536_512_47M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-04-17T04:55:06+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_mouse\_3-seqsight\_65536\_512\_47M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2061
* F1 Score: 0.69... | [
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text-generation | transformers |
<!-- header start -->
<p align="center">
<img src="https://i.imgur.com/mNM6Cai.png" width="100%" alt="Friendli Logo">
</p>
<!-- header end -->
# C4AI Command R+ FP8
- Model creator: [CohereForAI](https://cohere.com/)
- Original model: [c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["pretrained"], "model_name": "CohereForAI/c4ai-command-r-plus", "base_model": "CohereForAI/c4ai-command-r-plus", "inference": false, "model_link": "https://huggingface.co/Cohere... | FriendliAI/c4ai-command-r-plus-fp8 | null | [
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"... | null | 2024-04-17T04:59:21+00:00 | [] | [
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|
C4AI Command R+ FP8
===================
* Model creator: CohereForAI
* Original model: c4ai-command-r-plus
Description
-----------
This repo contains the c4ai-command-r-plus model quantized to FP8 by FriendliAI, significantly enhancing its inference efficiency while main... | [
"### Preparing Personal Access Token\n\n\nPAT (Personal Access Token) is the user credential for for logging into our container registry.\n\n\n1. Sign in Friendli Suite.\n2. Go to User Settings > Tokens and click 'Create new token'.\n3. Save your created token value.",
"### Pulling Friendli Container Image\n\n\n1... | [
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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. -->
# GUE_mouse_2-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_2-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_65536_512_47M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-04-17T04:59:31+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_mouse\_2-seqsight\_65536\_512\_47M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4923
* F1 Score: 0.81... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# with_board_only_history
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "with_board_only_history", "results": []}]} | wenshicheng97/with_board_only_history | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"region:us"
] | null | 2024-04-17T04:59:39+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
|
# with_board_only_history
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf 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 ... | [
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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. -->
# GUE_splice_reconstructed-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_65536_512_47M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-04-17T05:00:27+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_splice\_reconstructed-seqsight\_65536\_512\_47M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "m... | MLIsaac/CartPole-v1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-17T05:02:10+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | peft |
<!-- 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-poison-1p
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", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama-poison-1p", "results": []}]} | terry69/llama-poison-1p | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-04-17T05:03:26+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #license-llama2 #region-us
| llama-poison-1p
===============
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9307
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
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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. -->
# GUE_tf_0-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_tf_0-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_65536_512_47M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-04-17T05:03:35+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_tf\_0-seqsight\_65536\_512\_47M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6076
* F1 Score: 0.7066
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1536\n* eval\\_batch\\_size: 1536\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | null |
# T3qMergerix-7B
T3qMergerix-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
- model: MiniMoog/Mergerix-7b-v0.3
merge_... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/T3qMergerix-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T05:04:10+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# T3qMergerix-7B
T3qMergerix-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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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. -->
# GUE_tf_1-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_tf_1-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_65536_512_47M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-04-17T05:04:13+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_tf\_1-seqsight\_65536\_512\_47M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5477
* F1 Score: 0.7309
* Accu... | [
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... | [
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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. -->
# LoRA text2image fine-tuning - iamkaikai/CONCEPT-DESIGN-LORA
These are LoRA adaption weights for runwayml/stable-diffusio... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stab... | iamkaikai/CONCEPT-DESIGN-LORA | null | [
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"license:creativeml-openrail-m",
"region:us"
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#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #lora #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us
|
# LoRA text2image fine-tuning - iamkaikai/CONCEPT-DESIGN-LORA
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the iamkaikai/CONCEPT-DESIGN-ART dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
!img_4
!img_5
!img_6
!img_7
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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": []} | daanjiri/Biomistral_7b_bhc_full | 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-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. -->
# CS505-Dev-CSI-PhoBERT_base
This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base)... | {"tags": ["generated_from_trainer"], "base_model": "vinai/phobert-base", "model-index": [{"name": "CS505-Dev-CSI-PhoBERT_base", "results": []}]} | ThuyNT/CS505-Dev-CSI-PhoBERT_base | null | [
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|
# CS505-Dev-CSI-PhoBERT_base
This model is a fine-tuned version of vinai/phobert-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
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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": []} | MayurPai/Llama-2-7b-hf-fine-tuned | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | null |
## Llamacpp Quantizations of CodeQwen1.5-7B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> PR <a href="https://github.com/ggerganov/llama.cpp/pull/6707">6707</a> for quantization.
Original model: https://huggingface.co/Qwen/CodeQwen1.5-7B
All quants made using imatrix option with dataset prov... | {"language": ["en"], "license": "other", "tags": ["pretrained"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/CodeQwen1.5-7B-GGUF | null | [
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#gguf #pretrained #text-generation #en #license-other #region-us
| Llamacpp Quantizations of CodeQwen1.5-7B
----------------------------------------
Using <a href="URL PR <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Download a file (not the whole branch) from below:
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text-generation | transformers | # zephyr-beta-wizardLM-2-merge-7B
This is a merge of two pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). The goal was to explore the impact of merging on reasoning and narrative generation. Given that both fine-tuned models are BF16 precision (despite the precision of the base ... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["lucyknada/microsoft_WizardLM-2-7B", "HuggingFaceH4/zephyr-7b-beta"], "pipeline_tag": "text-generation"} | grimjim/zephyr-beta-wizardLM-2-merge-7B | null | [
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... | null | 2024-04-17T05:09:40+00:00 | [] | [] | TAGS
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| # zephyr-beta-wizardLM-2-merge-7B
This is a merge of two pre-trained language models created using mergekit. The goal was to explore the impact of merging on reasoning and narrative generation. Given that both fine-tuned models are BF16 precision (despite the precision of the base model Mistral 7B v0.1 being FP16), th... | [
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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. -->
# GUE_tf_4-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_tf_4-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_65536_512_47M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_tf\_4-seqsight\_65536\_512\_47M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0826
* F1 Score: 0.6434
* Accu... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/JoPmt/Hermetic-Llama-Ties
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "BEE-spoke-data/smol_llama-220M-openhermes", "BEE-spoke-data/smol_llama-220M-GQA"], "base_model": "JoPmt/Hermetic-Llama-Ties", "quantized_by": "mradermacher"} | mradermacher/Hermetic-Llama-Ties-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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": "stabilityai/stablelm-3b-4e1t"} | AY2324S2-CS4248-Team-47/StableLM-DPO-Ultrafeedback | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-stabilityai/stablelm-3b-4e1t #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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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. -->
# GUE_tf_3-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_tf_3-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_65536_512_47M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_tf\_3-seqsight\_65536\_512\_47M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6970
* F1 Score: 0.5785
* Accu... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* opti... |
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. -->
# chemical-ner-bert-large-uncased-5
This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-uncased", "model-index": [{"name": "chemical-ner-bert-large-uncased-5", "results": []}]} | shubhamgantayat/chemical-ner-bert-large-uncased-5 | null | [
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"generated_from_trainer",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T05:13:43+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-google-bert/bert-large-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| chemical-ner-bert-large-uncased-5
=================================
This model is a fine-tuned version of google-bert/bert-large-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0906
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\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\n* mixed\\_precis... | [
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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. -->
# fine-tuning-code_llama_lib_4
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/... | {"license": "llama2", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "fine-tuning-code_llama_lib_4", "results": []}]} | Surabhi-K/fine-tuning-code_llama_lib_4 | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:codellama/CodeLlama-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-04-17T05:15:53+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-codellama/CodeLlama-7b-hf #license-llama2 #region-us
| fine-tuning-code\_llama\_lib\_4
===============================
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1215
Model description
-----------------
More information needed
Intended uses & limitations... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* gradient\\_accumulation\\_steps: 5\n* total\\_train\\_batch\\_size: 15\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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 Hi - Sanchit Gandhi
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whi... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hi - Sanchit Gandhi", "results": [{"task": {"type": "automatic-speech-recognition", "n... | rmacek/whisper-small-hi | null | [
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"base_model:openai/whisper-small",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
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] | null | 2024-04-17T05:17:10+00:00 | [] | [
"hi"
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| Whisper Small Hi - Sanchit Gandhi
=================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4440
* Wer: 32.5447
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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null | 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. -->
# model_shp3_dpo9
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_shp3_dpo9", "results": []}]} | guoyu-zhang/model_shp3_dpo9 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-17T05:18:27+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_shp3\_dpo9
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.4927
* Rewards/chosen: -8.7213
* Rewards/rejected: -10.8984
* Rewards/accuracies: 0.6200
* Rewards/margins: 2.1771
* Logps... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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null | null |
# AffineQuant Model Zoo
AffineQuant is a novel quantization method that uses an affine transformation matrix to change the distribution of weights and activations, aimed at optimizing the distribution of weight activations and reducing quantization errors. By introducing an affine transformation matrix, AffineQuant... | {"language": ["en"], "license": "apache-2.0"} | ByteDance/AffineQuant | null | [
"safetensors",
"en",
"arxiv:2403.12544",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T05:19:00+00:00 | [
"2403.12544"
] | [
"en"
] | TAGS
#safetensors #en #arxiv-2403.12544 #license-apache-2.0 #region-us
| AffineQuant Model Zoo
=====================
AffineQuant is a novel quantization method that uses an affine transformation matrix to change the distribution of weights and activations, aimed at optimizing the distribution of weight activations and reducing quantization errors. By introducing an affine transformation m... | [
"### Fake Quantization Accuracy\n\n\nTo reproduce the accuracy reported in the paper, we need to use the parameter to load the fake-quantized model. At the same time, we need to specify the bit parameter as 16 to skip the quantization step. For example:\n\n\nIt is worth noting that if your quantization model is tra... | [
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text-generation | transformers |
# ArabianGPT Model Overview
## Disclaimer for the Use of Large Language Models (LLMs) for Text Generation
<p style="color: red;">We disclaim all responsibility for any harm, inaccuracies, or inappropriate content generated by ArabianGPT-0.8B, and users engage with and apply the model's outputs at their own risk.</p>... | {"language": ["ar"], "license": "apache-2.0", "tags": ["ArabianGPT"], "widget": [{"text": "\u0623\u0639\u0644\u0646\u062a \u0648\u0632\u0627\u0631\u0629 \u0627\u0644\u062d\u062c \u0641\u064a \u0627\u0644\u0645\u0645\u0644\u0643\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0627\u0644\u0633\u0639\u0648\u062f\u064a\... | riotu-lab/ArabianGPT-08B-V2 | null | [
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"ArabianGPT",
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|
# ArabianGPT Model Overview
## Disclaimer for the Use of Large Language Models (LLMs) for Text Generation
<p style="color: red;">We disclaim all responsibility for any harm, inaccuracies, or inappropriate content generated by ArabianGPT-0.8B, and users engage with and apply the model's outputs at their own risk.</p>... | [
"# ArabianGPT Model Overview",
"## Disclaimer for the Use of Large Language Models (LLMs) for Text Generation\n\n<p style=\"color: red;\">We disclaim all responsibility for any harm, inaccuracies, or inappropriate content generated by ArabianGPT-0.8B, and users engage with and apply the model's outputs at their o... | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #ArabianGPT #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n",
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null | null | # ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models
- ArXiv: https://arxiv.org/abs/2306.17140
- Code: https://github.com/xt4d/id-pose/
- Demo: https://huggingface.co/spaces/tokenid/ID-Pose/
## Abstract
- ID-Pose estimates camera poses of sparse-view images of a 3D object (appearance overlaps n... | {"license": "mit"} | tokenid/ID-Pose | null | [
"arxiv:2306.17140",
"license:mit",
"has_space",
"region:us"
] | null | 2024-04-17T05:21:01+00:00 | [
"2306.17140"
] | [] | TAGS
#arxiv-2306.17140 #license-mit #has_space #region-us
| # ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models
- ArXiv: URL
- Code: URL
- Demo: URL
## Abstract
- ID-Pose estimates camera poses of sparse-view images of a 3D object (appearance overlaps not required).
- ID-Pose inversely uses the off-the-shelf Zero123 to estimate camera poses by iterativ... | [
"# ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models\n\n- ArXiv: URL\n- Code: URL\n- Demo: URL",
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"# ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models\n\n- ArXiv: URL\n- Code: URL\n- Demo: URL",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_2-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_tf_2-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_65536_512_47M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-04-17T05:23:44+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_tf\_2-seqsight\_65536\_512\_47M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6364
* F1 Score: 0.6850
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# GUE_virus_covid-seqsight_65536_512_47M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_virus_covid-seqsight_65536_512_47M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_virus_covid-seqsight_65536_512_47M-L32_all | null | [
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"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_virus\_covid-seqsight\_65536\_512\_47M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_virus\_covid dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8911
* F1... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/eldogbbhed/Wiz2Beagle-7b-v1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "vortexmergekit", "amazingvince/Not-WizardLM-2-7B", "mlabonne/NeuralBeagle14-7B"], "base_model": "eldogbbhed/Wiz2Beagle-7b-v1", "quantized_by": "mradermacher"} | mradermacher/Wiz2Beagle-7b-v1-GGUF | null | [
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T05:25:21+00:00 | [] | [
"en"
] | TAGS
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] | [
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"TAGS\n#transformers #gguf #merge #mergekit #vortexmergekit #amazingvince/Not-WizardLM-2-7B #mlabonne/NeuralBeagle14-7B #en #base_model-eldogbbhed/Wiz2Beagle-7b-v1 #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
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. -->
# myproject
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "myproject", "results": []}]} | shobana/myproject | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T05:26:03+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| myproject
=========
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 10.7401
* Accuracy: 0.3585
Model description
-----------------
More information needed
Intended uses & limitations
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\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: 70",
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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. -->
# GUE_prom_prom_300_tata-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_300_tata-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_tata-seqsight_4096_512_15M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-17T05:27:07+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_300\_tata-seqsight\_4096\_512\_15M-L32\_all
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_tata dataset.
It achieves the following results on the evaluation se... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# GUE_prom_prom_300_notata-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_4096_512_15M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-17T05:27:34+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_300\_notata-seqsight\_4096\_512\_15M-L32\_all
==============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
It achieves the following results on the evaluat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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-pii-masking-finetune
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-pii-masking-finetune", "results": []}]} | lizashr/mistral-pii-masking-finetune | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T05:28:11+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistral-pii-masking-finetune
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:
- eval_loss: 1.0521
- eval_runtime: 4808.8041
- eval_samples_per_second: 1.652
- eval_steps_per_second: 0.207
- epoch: 0.0067
- step: 100
##... | [
"# mistral-pii-masking-finetune\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 1.0521\n- eval_runtime: 4808.8041\n- eval_samples_per_second: 1.652\n- eval_steps_per_second: 0.207\n- epoch: 0.0067\n- st... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | user87441257/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-17T05:28:37+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | 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": "mistralai/Mistral-7B-Instruct-v0.2"} | dzungPaduahsgs/Mistral7Bcleaning | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"region:us"
] | null | 2024-04-17T05:29:23+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #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]:
- Demo [optional]:
#... | [
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null | null |
# Spaetzle-v69-7b
This is a progressive (mostly dare-ties, but also slerp) merge with the intention of a suitable compromise for English and German local tasks.
There is also an [unquantized](https://huggingface.co/cstr/Spaetzle-v69-7b) version.
It achieves (running quantized) in
- German EQ Bench: Score (v2_de): 6... | {"license": "cc-by-nc-4.0", "tags": ["merge", "mergekit", "lazymergekit", "abideen/AlphaMonarch-dora"], "base_model": ["abideen/AlphaMonarch-dora"]} | cstr/Spaetzle-v69-7b-GGUF | null | [
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"lazymergekit",
"abideen/AlphaMonarch-dora",
"base_model:abideen/AlphaMonarch-dora",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-17T05:29:45+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #abideen/AlphaMonarch-dora #base_model-abideen/AlphaMonarch-dora #license-cc-by-nc-4.0 #region-us
|
# Spaetzle-v69-7b
This is a progressive (mostly dare-ties, but also slerp) merge with the intention of a suitable compromise for English and German local tasks.
There is also an unquantized version.
It achieves (running quantized) in
- German EQ Bench: Score (v2_de): 62.59 (Parseable: 171.0).
- English EQ Bench: Sc... | [
"# Spaetzle-v69-7b\nThis is a progressive (mostly dare-ties, but also slerp) merge with the intention of a suitable compromise for English and German local tasks.\n\nThere is also an unquantized version.\n\nIt achieves (running quantized) in \n- German EQ Bench: Score (v2_de): 62.59 (Parseable: 171.0).\n- English E... | [
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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. -->
# mistral7binstruct_summarize
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](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-v0.2", "model-index": [{"name": "mistral7binstruct_summarize", "results": []}]} | allanctan-ai/mistral7binstruct_summarize | null | [
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"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T05:30:26+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| mistral7binstruct\_summarize
============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4630
Model description
-----------------
More information needed
Intended uses & limit... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\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: constant\n* lr\\_scheduler\\_warmup\\_step... | [
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text-generation | transformers | # microsoft/rho-math-7b-v0.1 AWQ
- Model creator: [microsoft](https://huggingface.co/microsoft)
- Original model: [rho-math-7b-v0.1](https://huggingface.co/rho-math-7b-v0.1)
## Model summary
Rho-1 base models employ Selective Language Modeling (SLM) for pretraining, which selectively trains on clean and useful token... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mistral", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml", "nlp", "math"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/rho-math-7b-v0.1-AWQ | null | [
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"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"chatml",
"nlp",
"math",
"en",
"license:mit",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T05:32:27+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #chatml #nlp #math #en #license-mit #text-generation-inference #region-us
| # microsoft/rho-math-7b-v0.1 AWQ
- Model creator: microsoft
- Original model: rho-math-7b-v0.1
## Model summary
Rho-1 base models employ Selective Language Modeling (SLM) for pretraining, which selectively trains on clean and useful tokens that aligned with the desired distribution.
| [
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null | null | Model weights for SigLIP-Phi2(LoRA) VLM.
Scripts to build and train the model available at [Prismatic-SigLIP-Phi2-LoRA-VLM](https://github.com/NMS05/Prismatic-SigLIP-Phi2-LoRA-VLM). | {"language": ["en"]} | nms05/SigLIP_Phi2_LoRA_VLM | null | [
"en",
"region:us"
] | null | 2024-04-17T05:33:46+00:00 | [] | [
"en"
] | TAGS
#en #region-us
| Model weights for SigLIP-Phi2(LoRA) VLM.
Scripts to build and train the model available at Prismatic-SigLIP-Phi2-LoRA-VLM. | [] | [
"TAGS\n#en #region-us \n"
] | [
7
] | [
"TAGS\n#en #region-us \n"
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_all-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_4096_512_15M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-17T05:33:51+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_core\_all-seqsight\_4096\_512\_15M-L32\_all
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
It achieves the following results on the evaluation se... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1536\n* eval\\_batch\\_size: 1536\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | muskaanthawani/Enlighten_Instruct | null | [
"peft",
"safetensors",
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"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"region:us"
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #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]:
- Demo [optional]:
#... | [
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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. -->
# Llama-2-7b-chat-hf_esnli_1000_1ep
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/m... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "Llama-2-7b-chat-hf_esnli_1000_1ep", "results": []}]} | mohsenfayyaz/Llama-2-7b-chat-hf_esnli_1000_1ep | null | [
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|
# Llama-2-7b-chat-hf_esnli_1000_1ep
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf 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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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. -->
# GUE_prom_prom_core_notata-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_5... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_4096_512_15M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-17T05:37:23+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_core\_notata-seqsight\_4096\_512\_15M-L32\_all
===============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
It achieves the following results on the eval... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/bongchoi/MoMo-70B-V1.1
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/MoMo-70B-V1.1-GGUF... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "bongchoi/MoMo-70B-V1.1", "quantized_by": "mradermacher"} | mradermacher/MoMo-70B-V1.1-i1-GGUF | null | [
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"en"
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#transformers #gguf #en #base_model-bongchoi/MoMo-70B-V1.1 #license-llama2 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers | # microsoft/rho-math-7b-interpreter-v0.1 AWQ
- Model creator: [microsoft](https://huggingface.co/microsoft)
- Original model: [rho-math-7b-interpreter-v0.1](https://huggingface.co/microsoft/rho-math-7b-interpreter-v0.1)
## Model summary
Rho-1 base models employ Selective Language Modeling (SLM) for pretraining, whic... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mistral", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml", "nlp", "math"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/rho-math-7b-interpreter-v0.1-AWQ | null | [
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"math",
"en",
"license:mit",
"text-generation-inference",
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"en"
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#transformers #safetensors #mistral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #chatml #nlp #math #en #license-mit #text-generation-inference #region-us
| # microsoft/rho-math-7b-interpreter-v0.1 AWQ
- Model creator: microsoft
- Original model: rho-math-7b-interpreter-v0.1
## Model summary
Rho-1 base models employ Selective Language Modeling (SLM) for pretraining, which selectively trains on clean and useful tokens that aligned with the desired distribution.
| [
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null | null |
# MythicalCow/llama2-7b-openhermes-15k-mini-Q4_K_M-GGUF
This model was converted to GGUF format from [`Raghava45/llama2-7b-openhermes-15k-mini`](https://huggingface.co/Raghava45/llama2-7b-openhermes-15k-mini) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
R... | {"tags": ["llama-cpp", "gguf-my-repo"]} | MythicalCow/llama2-7b-openhermes-15k-mini-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-17T05:42:56+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# MythicalCow/llama2-7b-openhermes-15k-mini-Q4_K_M-GGUF
This model was converted to GGUF format from 'Raghava45/llama2-7b-openhermes-15k-mini' 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 o... | [
"# MythicalCow/llama2-7b-openhermes-15k-mini-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Raghava45/llama2-7b-openhermes-15k-mini' 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 ... | [
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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. -->
# GUE_prom_prom_core_tata-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_4096_512_15M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-17T05:43:54+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_core\_tata-seqsight\_4096\_512\_15M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# GUE_prom_prom_300_all-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_1... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_4096_512_15M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-17T05:44:00+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_4096\_512\_15M-L32\_all
===========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all 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: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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. -->
# GUE_EMP_H3K14ac-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_EMP_H3K14ac-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K14ac-seqsight_4096_512_15M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-17T05:44:59+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_EMP\_H3K14ac-seqsight\_4096\_512\_15M-L32\_all
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_EMP\_H3K14ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6675
* F1 Sc... | [
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text-classification | transformers |
# Model Card for Model ID
This model is a fine-tuned version of bert-base-cased which is trained on the finance domain dataset.
with an accuracy of 85%.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has bee... | {"library_name": "transformers", "tags": []} | AbhijitShejal/fin_bert_model | null | [
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This model is a fine-tuned version of bert-base-cased which is trained on the finance domain dataset.
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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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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
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | cogsci13/xlm-roberta-base-finetuned-panx-de | null | [
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| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1374
* F1: 0.8613
Model description
-----------------
More information needed
Intended uses & l... | [
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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": []} | GalaganKV/Mistral-7B-Instruct-v0.2-MultiTask-v5 | 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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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. -->
# facebook_wav2vec2-xls-r-300m_meet_tr_p_10_30h
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "facebook_wav2vec2-xls-r-300m_meet_tr_p_10_30h", "results": []}]} | namkyeong/facebook_wav2vec2-xls-r-300m_meet_tr_p_10_30h | null | [
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#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us
| facebook\_wav2vec2-xls-r-300m\_meet\_tr\_p\_10\_30h
===================================================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5611
* Cer: 0.1334
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": []} | dahye1/lg-gemma-ko-7b | 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-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. -->
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text-to-image | diffusers |
# SDXL-Turbo Model Card
<!-- Provide a quick summary of what the model is/does. -->
SDXL-Turbo is a fast generative text-to-image model that can synthesize photorealistic images from a text prompt in a single network evaluation.
A real-time demo is available here: http://clipdrop.co/stable-d... | {"license": "other", "pipeline_tag": "text-to-image", "inference": false, "license_name": "sai-nc-community", "license_link": "https://huggingface.co/stabilityai/sdxl-turbo/blob/main/LICENSE.TXT"} | Fabrice-TIERCELIN/sdxl-turbo | null | [
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#diffusers #onnx #safetensors #text-to-image #license-other #diffusers-StableDiffusionXLPipeline #region-us
|
# SDXL-Turbo Model Card
!row01
SDXL-Turbo is a fast generative text-to-image model that can synthesize photorealistic images from a text prompt in a single network evaluation.
A real-time demo is available here: URL
Please note: For commercial use, please refer to URL
## Model Details
### Model Description
SDXL-T... | [
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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. -->
# GUE_EMP_H3K4me2-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_EMP_H3K4me2-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me2-seqsight_4096_512_15M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_EMP\_H3K4me2-seqsight\_4096\_512\_15M-L32\_all
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me2 dataset.
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* Loss: 0.6456
* F1 Sc... | [
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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. -->
# long-t5-local-base-finetuned-justification-v11
This model is a fine-tuned version of [google/long-t5-local-base](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/long-t5-local-base", "model-index": [{"name": "long-t5-local-base-finetuned-justification-v11", "results": []}]} | satyanshu404/long-t5-local-base-finetuned-justification-v11 | null | [
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| long-t5-local-base-finetuned-justification-v11
==============================================
This model is a fine-tuned version of google/long-t5-local-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 10.3775
Model description
-----------------
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. -->
# model_usp4_dpo5
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_usp4_dpo5", "results": []}]} | guoyu-zhang/model_usp4_dpo5 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_usp4\_dpo5
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0392
* Rewards/chosen: -5.3723
* Rewards/rejected: -8.4336
* Rewards/accuracies: 0.6400
* Rewards/margins: 3.0613
* Logps/... | [
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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": []} | HenryCai1129/LlamaAdapter-llama2-happy-300-prompt-system0.03 | 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": []} | OwOOwO/dumbo-krillin33 | 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. -->
# GUE_EMP_H3K9ac-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_4096_512_15M-L32_all | null | [
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| GUE\_EMP\_H3K9ac-seqsight\_4096\_512\_15M-L32\_all
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7761
* F1 Score... | [
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automatic-speech-recognition | transformers | # Whisper-lithuanian
Whisper-lithuanian is a finetuned model for automatic speech recognition (ASR). Trained on 2 hours
with filtered only lithuanian language mozilla-foundation/common_voice_13_0 dataset.
# trining log
[9309/9309 1:53:12, Epoch 3/3]
|Epoch |Training Loss |Validation Loss |
|----------|-----... | {"language": ["lt"], "license": "apache-2.0", "tags": ["audio", "automatic-speech-recognition"], "datasets": ["mozilla-foundation/common_voice_13_0"], "pipeline_tag": "automatic-speech-recognition"} | Aismantas/whisper-base-lithuanian | null | [
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| Whisper-lithuanian
==================
Whisper-lithuanian is a finetuned model for automatic speech recognition (ASR). Trained on 2 hours
with filtered only lithuanian language mozilla-foundation/common\_voice\_13\_0 dataset.
trining log
===========
[9309/9309 1:53:12, Epoch 3/3]
Epoch: 1, Training Loss: 0.03060... | [
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text-generation | transformers | # microsoft/rho-math-7b-v0.1 AWQ
- Model creator: [microsoft](https://huggingface.co/microsoft)
- Original model: [rho-math-1b-interpreter-v0.1](https://huggingface.co/microsoft/rho-math-1b-interpreter-v0.1)
## Model summary
Rho-1 base models employ Selective Language Modeling (SLM) for pretraining, which selectivel... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mistral", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml", "nlp", "math"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/rho-math-1b-interpreter-v0.1-AWQ | null | [
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| # microsoft/rho-math-7b-v0.1 AWQ
- Model creator: microsoft
- Original model: rho-math-1b-interpreter-v0.1
## Model summary
Rho-1 base models employ Selective Language Modeling (SLM) for pretraining, which selectively trains on clean and useful tokens that aligned with the desired distribution.
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text-generation | transformers |
# 🔎 Taiwan-inquiry_7B_v_2.1
<!-- Provide a quick summary of what the model is/does. -->
"The model was fine-tuned based on the **Breeze-7B-Instruct-v1_0** model using a dataset that includes 614 authentic dialogues from the National Cheng Kung University Hospital.
Additionally, 336 synthetic dialogues were include... | {"language": ["zh"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Doctor_consultation", "Taiwan", "fine-tuning", "medicine"], "pipeline_tag": "text-generation"} | ChenWeiLi/Taiwan-inquiry_7B_v2.1 | null | [
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| Taiwan-inquiry\_7B\_v\_2.1
==========================
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image-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. -->
# Prahas10/roof-sample
This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch1... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch16-384", "model-index": [{"name": "Prahas10/roof-sample", "results": []}]} | Prahas10/roof-sample | null | [
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| Prahas10/roof-sample
====================
This model is a fine-tuned version of google/vit-base-patch16-384 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0745
* Validation Loss: 0.3751
* Train Accuracy: 0.9036
* Epoch: 9
Model description
-----------------
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": []} | Dinesh1634/gemma-Chat-friendChat-Finetune-model | 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": []} | yxs33220/llama-2-7b-model-0417 | null | [
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text-generation | transformers | # microsoft/rho-math-1b-v0.1 AWQ
- Model creator: [microsoft](https://huggingface.co/microsoft)
- Original model: [rho-math-1b-v0.1](https://huggingface.co/microsoft/rho-math-1b-v0.1)
## Model Summary
Rho-1 base models employ Selective Language Modeling (SLM) for pretraining, which selectively trains on clean and us... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mistral", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml", "nlp", "math"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/rho-math-1b-v0.1-AWQ | null | [
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| # microsoft/rho-math-1b-v0.1 AWQ
- Model creator: microsoft
- Original model: rho-math-1b-v0.1
## Model Summary
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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-chatml
This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the gen... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-2b-it", "model-index": [{"name": "gemma-2b-chatml", "results": []}]} | DuongTrongChi/gemma-2b-chatml | null | [
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|
# gemma-2b-chatml
This model is a fine-tuned version of google/gemma-2b-it 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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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": []} | dachieu/wikivn-mistral | 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": []} | heyllm234/sc33 | null | [
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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": []}]} | cogsci13/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: 0.1618
* F1: 0.8587
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. -->
# GUE_EMP_H3K4me3-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_4096_512_15M-L32_all | null | [
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| GUE\_EMP\_H3K4me3-seqsight\_4096\_512\_15M-L32\_all
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6795
* F1 Sc... | [
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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": []} | kunalchamoli/test | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Gaivoronsky/Mistral-7B-Saiga](https://huggingface.co/Gaivoronsky/Mi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Gaivoronsky/Mistral-7B-Saiga", "HuggingFaceH4/mistral-7b-grok", "NousResearch/Yarn-Mistral-7b-128k"]} | ehristoforu/0001 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using Gaivoronsky/Mistral-7B-Saiga as a base.
### Models Merged
The following models were included in the merge:
* HuggingFaceH4/mistral-7b-grok
... | [
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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. -->
# results
This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-c... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-chat-hf", "model-index": [{"name": "results", "results": []}]} | devsomesh/results | null | [
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|
# results
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
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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. -->
# GUE_EMP_H4-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_EMP_H4-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_4096_512_15M-L32_all | null | [
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"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_EMP\_H4-seqsight\_4096\_512\_15M-L32\_all
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9598
* F1 Score: 0.7788
* A... | [
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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. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | GR1M/my_awesome_qa_model | null | [
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| my\_awesome\_qa\_model
======================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6948
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-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: 3",
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object-detection | pytorch |
# Yolo-v7-Quantized: Optimized for Mobile Deployment
## Quantized real-time object detection optimized for mobile and edge
YoloV7 is a machine learning model that predicts bounding boxes and ... | {"license": "gpl-3.0", "library_name": "pytorch", "tags": ["real_time", "quantized", "android"], "pipeline_tag": "object-detection"} | qualcomm/Yolo-v7-Quantized | null | [
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"2207.02696"
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#pytorch #tflite #real_time #quantized #android #object-detection #arxiv-2207.02696 #license-gpl-3.0 #region-us
| ![](URL
Yolo-v7-Quantized: Optimized for Mobile Deployment
==================================================
Quantized real-time object detection optimized for mobile and edge
------------------------------------------------------------------
YoloV7 is a machine learning model that predicts bounding boxes and cl... | [
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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-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | cogsci13/xlm-roberta-base-finetuned-panx-fr | null | [
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"generated_from_trainer",
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| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2680
* F1: 0.8403
Model description
-----------------
More information needed
Intended uses & l... | [
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text-generation | transformers |
# NumFa 3B 1 epoch
NumFa 3B 1 epoch is the first epoch of NumFa 3B model. (checkpoint2)
Base model: openllama3b
**For testing only**
## Model Details
### Model Description
The model was trained by TPU.
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been au... | {"language": ["en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | numfa/numfa_3b_1epoch | null | [
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"en"
] | TAGS
#transformers #safetensors #llama #text-generation #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# NumFa 3B 1 epoch
NumFa 3B 1 epoch is the first epoch of NumFa 3B model. (checkpoint2)
Base model: openllama3b
For testing only
## Model Details
### Model Description
The model was trained by TPU.
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automati... | [
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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": []} | indiana500/gpt2-base-fine-tuned-binary-classification | 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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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-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-it", "results": []}]} | cogsci13/xlm-roberta-base-finetuned-panx-it | null | [
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] | null | 2024-04-17T06:18:13+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-it
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2602
* F1: 0.8334
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 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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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-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-en", "results": []}]} | cogsci13/xlm-roberta-base-finetuned-panx-en | null | [
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] | null | 2024-04-17T06:19:03+00:00 | [] | [] | TAGS
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| xlm-roberta-base-finetuned-panx-en
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3999
* F1: 0.6814
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 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 | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/lightblue/Karasu-Mixtral-8x22B-v0.1
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Karas... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["openchat/openchat_sharegpt4_dataset"], "base_model": "lightblue/Karasu-Mixtral-8x22B-v0.1", "quantized_by": "mradermacher"} | mradermacher/Karasu-Mixtral-8x22B-v0.1-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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. -->
# GUE_EMP_H3-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_EMP_H3-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_4096_512_15M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-17T06:21:38+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_EMP\_H3-seqsight\_4096\_512\_15M-L32\_all
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5628
* F1 Score: 0.7388
* A... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optim... |
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-all
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-all", "results": []}]} | cogsci13/xlm-roberta-base-finetuned-panx-all | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T06:23:03+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-all
===================================
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: 0.1745
* F1: 0.8544
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 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",
"### Traini... | [
"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-... | [
51,
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"TAGS\n#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* ... |
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. -->
# CS505_COQE_viT5_Instruction0_ASPOL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI/vit5-... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_Instruction0_ASPOL", "results": []}]} | ThuyNT/CS505_COQE_viT5_Instruction0_ASPOL | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T06:27:54+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_Instruction0_ASPOL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
"# CS505_COQE_viT5_Instruction0_ASPOL\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training p... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# CS505_COQE_viT5_Instruction0_ASPOL\n\nThis model is a fine-tuned version of VietAI/v... | [
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"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# CS505_COQE_viT5_Instruction0_ASPOL\n\nThis model is a fine-tuned version of VietAI/vit5-la... |
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