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text2text-generation | transformers | <img src="https://hoodie-creator.s3.eu-west-1.amazonaws.com/2c331689-original.png" alt="gorilla-llm" border="0" width="400px">
## Introduction
Zefiro functioncalling extends Large Language Model(LLM) Chat Completion feature to formulate
executable APIs call given Italian based natural language instructions and API co... | {"language": ["it"], "license": "apache-2.0", "library_name": "transformers", "tags": ["functioncalling"], "pipeline_tag": "text2text-generation"} | giux78/zefiro-funcioncalling-v0.3-merged | null | [
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| <img src="URL alt="gorilla-llm" border="0" width="400px">
Introduction
------------
Zefiro functioncalling extends Large Language Model(LLM) Chat Completion feature to formulate
executable APIs call given Italian based natural language instructions and API context. With OpenFunctions v2,
we now support:
1. Rele... | [] | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5_recommendation_sports_equipment_english
This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "t5_recommendation_sports_equipment_english", "results": []}]} | sujathau/t5_recommendation_sports_equipment_english | null | [
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| t5\_recommendation\_sports\_equipment\_english
==============================================
This model is a fine-tuned version of t5-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4517
* Rouge1: 56.9841
* Rouge2: 47.6190
* Rougel: 57.4603
* Rougelsum: 57.1429
* Gen L... | [
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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_H4ac-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_H4ac-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_4096_512_15M-L32_all | null | [
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| GUE\_EMP\_H4ac-seqsight\_4096\_512\_15M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
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object-detection | pytorch |
# YOLOv8-Detection-Quantized: Optimized for Mobile Deployment
## Quantized real-time object detection optimized for mobile and edge by Ultralytics
Ultralytics YOLOv8 is a machine learning... | {"license": "agpl-3.0", "library_name": "pytorch", "tags": ["real_time", "quantized", "android"], "pipeline_tag": "object-detection"} | qualcomm/YOLOv8-Detection-Quantized | null | [
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| ![](URL
YOLOv8-Detection-Quantized: Optimized for Mobile Deployment
===========================================================
Quantized real-time object detection optimized for mobile and edge by Ultralytics
---------------------------------------------------------------------------------
Ultralytics YOLOv8 is ... | [
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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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. -->
# CS505_COQE_viT5_Instruction1_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_Instruction1_ASPOL", "results": []}]} | ThuyNT/CS505_COQE_viT5_Instruction1_ASPOL | null | [
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|
# CS505_COQE_viT5_Instruction1_ASPOL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
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More information needed
## Training and evaluation data
More information needed
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | oopsung/EEVE-inst-dpo-test | null | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Test-model
This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
It ach... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "camembert-base", "model-index": [{"name": "Test-model", "results": []}]} | Mouwiya/Test-model | null | [
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# Test-model
This model is a fine-tuned version of camembert-base on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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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. -->
# Finetuned-sentiment-model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "Finetuned-sentiment-model", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "e... | KoontzP/Finetuned-sentiment-model | null | [
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| Finetuned-sentiment-model
=========================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1792
* Accuracy: 0.9315
* F1: 0.9316
Model description
-----------------
More information needed
Intended... | [
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text-generation | transformers | # mistralai/Mistral-7B-v0.2 AWQ
## Model Summary
Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1
- 32k context window (vs 8k context in v0.1)
- Rope-theta = 1e6
- No Sliding-Window Attention
For full details of this model please read our [paper](https://arxiv.org/abs/2310.06825) and [release... | {"license": "apache-2.0", "tags": ["transformers", "safetensors", "mistral", "4-bit", "AWQ", "text-generation", "text-generation-inference", "autotrain_compatible", "endpoints_compatible", "chatml"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Mistral-7B-v0.2-AWQ | null | [
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| # mistralai/Mistral-7B-v0.2 AWQ
## Model Summary
Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1
- 32k context window (vs 8k context in v0.1)
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- No Sliding-Window Attention
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text2text-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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Juniplayground/juniper-rephrase-query-v2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-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. -->
# implicit-toxicgenconprompt-all-no-lora
This model is a fine-tuned version of [youngggggg/ToxiGen-ConPrompt](https://huggingface.... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "youngggggg/ToxiGen-ConPrompt", "model-index": [{"name": "implicit-toxicgenconprompt-all-no-lora", "results": []}]} | adediu25/implicit-toxicgenconprompt-all-no-lora | null | [
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#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-youngggggg/ToxiGen-ConPrompt #license-mit #autotrain_compatible #endpoints_compatible #region-us
| implicit-toxicgenconprompt-all-no-lora
======================================
This model is a fine-tuned version of youngggggg/ToxiGen-ConPrompt on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8445
* Accuracy: {'accuracy': 0.8500114495076712}
Model description
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 10\n* eval\\_batch\\_size: 10\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 20\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - fatimaaa1/model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were tr... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-... | fatimaaa1/model | null | [
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"stable-diffusion-xl-diffusers",
"base_model:CompVis/stable-diffusion-v1-4",
"license:creativ... | null | 2024-04-17T06:43:45+00:00 | [] | [] | TAGS
#diffusers #tensorboard #safetensors #text-to-image #dreambooth #diffusers-training #stable-diffusion #stable-diffusion-diffusers #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-Sta... |
# DreamBooth - fatimaaa1/model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a bussiness card using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses & limitations
#### How ... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | Lilyislily/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
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"region:us"
] | null | 2024-04-17T06:45:34+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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null | 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_shp4_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_shp4_dpo9", "results": []}]} | guoyu-zhang/model_shp4_dpo9 | null | [
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"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-17T06:45:48+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_shp4\_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: 4.9330
* Rewards/chosen: -5.0952
* Rewards/rejected: -3.3852
* Rewards/accuracies: 0.4400
* Rewards/margins: -1.7101
* Logps... | [
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feature-extraction | 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep20 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-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. -->
# SDXL LoRA DreamBooth - Nida011/animated_ACKHD_LORA
<Gallery />
## Model description
These are Nida011/animated_ACKHD_... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of Amar Chitra K... | Nida011/animated_ACKHD_LORA | null | [
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"text-to-image",
"diffusers-training",
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"stable-diffusion-xl",
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-17T06:46:43+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - Nida011/animated_ACKHD_LORA
<Gallery />
## Model description
These are Nida011/animated_ACKHD_LORA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for trainin... | [
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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_shp2_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_shp2_400", "results": []}]} | guoyu-zhang/model_hh_shp2_400 | null | [
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"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-17T06:47:08+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_hh\_shp2\_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: 4.3180
* Rewards/chosen: -4.2235
* Rewards/rejected: -4.3178
* Rewards/accuracies: 0.4700
* Rewards/margins: 0.0943
* ... | [
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text2text-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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Mouwiya/image-model | null | [
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"safetensors",
"blip",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T06:47:34+00:00 | [
"1910.09700"
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#transformers #safetensors #blip #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | bnv20/llama2-fine-tuned-kevin-15k | null | [
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"autotrain_compatible",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="derk06/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attr... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | derk06/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-krillin40 | null | [
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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_H3K79me3-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-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\_H3K79me3-seqsight\_4096\_512\_15M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6668
* F1... | [
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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_usp1_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_usp1_dpo9", "results": []}]} | guoyu-zhang/model_usp1_dpo9 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_usp1\_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: 2.4153
* Rewards/chosen: -3.7856
* Rewards/rejected: -9.9056
* Rewards/accuracies: 0.7700
* Rewards/margins: 6.1200
* Logps/... | [
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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. -->
# mr_sam_wav2vec2_nigerian_accent
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "mr_sam_wav2vec2_nigerian_accent", "results": []}]} | samuelchiji/mr_sam_wav2vec2_nigerian_accent | null | [
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| mr\_sam\_wav2vec2\_nigerian\_accent
===================================
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4369
* Wer: 0.3071
Model description
-----------------
More information needed
Intended... | [
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text-classification | fasttext | ## Results
- **Nombre d'รฉchantillons:** 11853
- **Prรฉcision:** 0.669
- **Rappel:** 0.669
| {"language": ["fr"], "library_name": "fasttext", "tags": ["language"], "metrics": ["accuracy"], "pipeline_tag": "text-classification"} | m-biriuchinskii/Creole-classifier-v1-balanced | null | [
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- Rappel: 0.669
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HoangLe1312/gemma-code-solver | null | [
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# Model Card for Model ID
## Model Details
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null | adapter-transformers |
# Adapter `jgrc3/pfeiffer_adapter_classification_trained_10epochs` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classifi... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness"]} | jgrc3/pfeiffer_adapter_classification_trained_10epochs | null | [
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|
# Adapter 'jgrc3/pfeiffer_adapter_classification_trained_10epochs' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
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First, i... | [
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text2text-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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Sayan01/MBART-24-640-EN-FR-CTX | null | [
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text-generation | transformers | # TinyLlama/TinyLlama-1.1B-Chat-v1.0 AWQ
## Model Summary
This is the chat model finetuned on top of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T). **We follow [HF's Zephyr](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha)'s tra... | {"language": ["en"], "license": "apache-2.0", "tags": ["transformers", "safetensors", "finetuned", "4-bit", "AWQ", "text-generation", "text-generation-inference", "autotrain_compatible", "endpoints_compatible", "chatml"], "datasets": ["cerebras/SlimPajama-627B", "bigcode/starcoderdata", "HuggingFaceH4/ultrachat_200k", ... | solidrust/TinyLlama-1.1B-Chat-v1.0-AWQ | null | [
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## Model Summary
This is the chat model finetuned on top of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T. We follow HF's Zephyr's training recipe. The model was " initially fine-tuned on a variant of the 'UltraChat' dataset, which contains a diverse range of synthetic ... | [
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/7g3ndyy | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- Model type:
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- License... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | mohanaroachakka/tinyLlama | null | [
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#peft #safetensors #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
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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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "arcee-ai/sec-mistral-7b-instruct-1.6-epoch"]} | mergekit-community/mergekit-slerp-utpztvu | null | [
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"text-generation-inference... | null | 2024-04-17T07:01:05+00:00 | [] | [] | TAGS
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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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
* arcee-ai/sec-mistral-7b-instru... | [
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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-car0005-realimg
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7... | {"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-car0005-realimg", "results": [{"task": {"type": "image-classification", "name": "Im... | tsware/swin-tiny-patch4-window7-224-finetuned-car0005-realimg | null | [
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| swin-tiny-patch4-window7-224-finetuned-car0005-realimg
======================================================
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: 0.3561
* Accuracy: 0.8868
Model de... | [
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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_H3K4me1-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_H3K4me1-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-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\_H3K4me1-seqsight\_4096\_512\_15M-L32\_all
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6657
* F1 Sc... | [
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text-classification | setfit |
# SetFit with intfloat/multilingual-e5-large
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) as the Sentence Transformer embedding model. A [Logistic... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "intfloat/multilingual-e5-large", "widget": [{"text": "What should be Ideal Promo Duration?"}, {"text": "Compare the performance of top skus"}, {"text": ... | vgarg/usecase_classifier_large_17_04_24 | null | [
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| SetFit with intfloat/multilingual-e5-large
==========================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses intfloat/multilingual-e5-large as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The mode... | [
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text-generation | transformers | # Dolph-Lund -Wizard-7B
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... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | Noodlz/Dolph-Lund-Wizard-7B | null | [
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"autotrain_compatible",
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| # Dolph-Lund -Wizard-7B
This is a merge of pre-trained language models created using mergekit.
!image/png
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using /Users/etherops1/AI/Noodlz/Noodlz_DolphinLake-DARE_TIE_SLERP-tokenwest as a base.
### Models Merged
The following... | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_mind_model
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["minds14"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "my_awesome_mind_model", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "minds14", ... | saketag73/my_awesome_mind_model | null | [
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| my\_awesome\_mind\_model
========================
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5977
* Accuracy: 0.1062
Model description
-----------------
More information needed
Intended uses & limitati... | [
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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"} | omezzinemariem/mistral-text-to-RULE | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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- Model type:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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text-generation | transformers | <!-- header start -->
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fill-mask | transformers |
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null | transformers |
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text-generation | transformers |
# OpenHermes 2.5 - Mistral 7B
*In the tapestry of Greek mythology, Hermes reigns as the eloquent Messenger of the Gods, a deity who deftly bridges the realms through the art of communication. It is... | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "distillation"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "OpenHermes-2-Mistral-7B", "results": []}]} | Kuro0911/pentest_ai_LLM | null | [
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# OpenHermes 2.5 - Mistral 7B
!image/png
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text-generation | transformers | # Leia-Swallow-7B
LEIA is a training technique for autoregressive LLMs that effectively improves their performance in languages other than English by enhancing cross-lingual knowledge transfer from English to a target language.
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| Leia-Swallow-7B
===============
LEIA is a training technique for autoregressive LLMs that effectively improves their performance in languages other than English by enhancing cross-lingual knowledge transfer from English to a target language.
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text-generation | transformers |
# Model Card for Model ID
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This is the model card of a ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_pepe_5.0 | null | [
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text-generation | transformers |
# Model Card for Model ID
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null | null | <h1>Tonton TV3 Live: Pengalaman Menyaksikan Hiburan Terbaik Secara Langsung</h1>
Tonton TV3 Live telah menjadi kegemaran ramai untuk menikmati hiburan terbaik dari Malaysia secara langsung. Dari rancangan realiti yang mendebarkan hingga drama yang mengaduk-aduk perasaan, <a href="https://www.tvmalaysia.org/tv3"><stron... | {} | TVMalaysia/tvmalaysiaonline | null | [
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| <h1>Tonton TV3 Live: Pengalaman Menyaksikan Hiburan Terbaik Secara Langsung</h1>
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sentence-similarity | sentence-transformers |
<!-- header start -->
<!-- 200823 -->
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<!-- header... | {"language": "en", "license": "apache-2.0", "library_name": "sentence-transformers", "base_model": "nomic-ai/nomic-embed-text-v1.5", "pipeline_tag": "sentence-similarity", "model_creator": "nomic-ai", "quantized_by": "Second State Inc."} | second-state/Nomic-embed-text-v1.5-Embedding-GGUF | null | [
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---
Nomic-embed-text-v1.5-Embedding-GGUF
====================================
Original Model
--------------
nomic-ai/nomic-embed-text-v1.5
Run with LlamaEdge
------------------
* LlamaEdge version: v0.8.2 and above
* Context size: '768'
* Run as LlamaEdge service
Quantized GGUF Models
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigscience-bloom-1b7-HQQ-1bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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text-generation | transformers |
# RogerWizard-12B-MoE
RogerWizard-12B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/MultiverseEx26-7B-slerp... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/MultiverseEx26-7B-slerp", "lucyknada/microsoft_WizardLM-2-7B"], "base_model": ["allknowingroger/MultiverseEx26-7B-slerp", "lucyknada/microsoft_WizardLM-2-7B"]} | allknowingroger/RogerWizard-12B-MoE | null | [
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# RogerWizard-12B-MoE
RogerWizard-12B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* allknowingroger/MultiverseEx26-7B-slerp
* lucyknada/microsoft_WizardLM-2-7B
## Configuration
## Usage
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text-generation | transformers | # perlthoughts/Mistral-7B-Instruct-v0.2-2x7B-MoE AWQ
## Model Summary
Mistral 7B Instruct v0.2 7B (with only 2 experts)
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of [Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1).
For fu... | {"language": ["en"], "license": "apache-2.0", "tags": ["finetuned", "mistral", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious", "model-index": [{"name": "Mistral-7B-Instruct-v0.2-2x7B-MoE", "... | solidrust/Mixtral-Instruct-v0.2-2x7B-AWQ | null | [
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"arxiv:2310.06825",
"license:apache-2.0",
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| # perlthoughts/Mistral-7B-Instruct-v0.2-2x7B-MoE AWQ
## Model Summary
Mistral 7B Instruct v0.2 7B (with only 2 experts)
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of Mistral-7B-Instruct-v0.1.
For full details of this model please read our paper and release bl... | [
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"## Model Summary\n\nMistral 7B Instruct v0.2 7B (with only 2 experts)\n\nThe Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of Mistral-7B-Instruct-v0.1.\n\nFor full details of this model please read our paper ... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigscience-bloomz-560m-HQQ-1bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-generation | transformers |
# Pentest AI
PentestAI is an innovative assistant for penetration testing, we used the `OpenHermes-2.5-Mistral-7B` model, we jailbroke it, finetuned it with commands for popular Kali Linux tools and it's now able to provide guided, actionable steps and command automation for performing deep pen tests.
The innovative ... | {"language": ["en"], "tags": ["mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "distillation"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "pentest ai", "results": []}]} | ArmurAI/Pentest_AI | null | [
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|
# Pentest AI
PentestAI is an innovative assistant for penetration testing, we used the 'OpenHermes-2.5-Mistral-7B' model, we jailbroke it, finetuned it with commands for popular Kali Linux tools and it's now able to provide guided, actionable steps and command automation for performing deep pen tests.
The innovative ... | [
"# Pentest AI\n\nPentestAI is an innovative assistant for penetration testing, we used the 'OpenHermes-2.5-Mistral-7B' model, we jailbroke it, finetuned it with commands for popular Kali Linux tools and it's now able to provide guided, actionable steps and command automation for performing deep pen tests.\nThe inno... | [
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null | transformers | Model type: Donut
Finetuned from: facebook/nougat-base
Try to add chinese supporting and image (different size) supporting | {"license": "apache-2.0"} | zphilip48/nougat-middle-cn | null | [
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"nougat",
"license:apache-2.0",
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#transformers #pytorch #nougat #license-apache-2.0 #endpoints_compatible #region-us
| Model type: Donut
Finetuned from: facebook/nougat-base
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Devilsss/Bitnet-Llama-70M | 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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video-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. -->
# videomae-base-finetuned-ucf101-subset
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-N... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ucf101-subset", "results": []}]} | Stern5497/videomae-base-finetuned-ucf101-subset | null | [
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"videomae",
"video-classification",
"generated_from_trainer",
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"license:cc-by-nc-4.0",
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| videomae-base-finetuned-ucf101-subset
=====================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4875
* Accuracy: 0.8323
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\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\\_ratio: ... | [
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | YernazarBis/falcon-test-merged | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# PolizzeDonut-Resol1028x1440-5Epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/nav... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-Resol1028x1440-5Epochs", "results": []}]} | tedad09/PolizzeDonut-Resol1028x1440-5Epochs | null | [
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"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
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] | null | 2024-04-17T07:30:20+00:00 | [] | [] | TAGS
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|
# PolizzeDonut-Resol1028x1440-5Epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
"# PolizzeDonut-Resol1028x1440-5Epochs\n\nThis model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/ls_llama_e3c | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Devilsss/Llama-2-70b-hf | null | [
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# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Devilsss/bloom-7b1 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # Leia-Swallow-13B
LEIA is a training technique for autoregressive LLMs that effectively improves their performance in languages other than English by enhancing cross-lingual knowledge transfer from English to a target language.
This model is constructed by applying LEIA to Swallow, a Japanese-English bilingual LLM ba... | {"language": ["ja"], "license": "apache-2.0"} | leia-llm/Leia-Swallow-13b | null | [
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| Leia-Swallow-13B
================
LEIA is a training technique for autoregressive LLMs that effectively improves their performance in languages other than English by enhancing cross-lingual knowledge transfer from English to a target language.
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-base-finetuned-minds-1
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["minds14"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec2-base-finetuned-minds-1", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "... | saketag73/wav2vec2-base-finetuned-minds-1 | null | [
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| wav2vec2-base-finetuned-minds-1
===============================
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4208
* Accuracy: 0.7611
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-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* lr\\_scheduler\\_warmup\\_ratio: ... | [
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text-generation | transformers | # polyglot-ko-1.3b-lite1.0
- [EleutherAI/polyglot-ko-1.3b](https://huggingface.co/EleutherAI/polyglot-ko-1.3b/)๋ฅผ ๊ธฐ๋ฐ์ผ๋ก, ๋ฏธ์ธ์กฐ์ ํ ๋ชจ๋ธ
- PEFT ๊ธฐ๋ฒ ์ค์ ํ๋์ธ, QLoRA๋ก ๋ฏธ์ธ์กฐ์
## ๋ชฉ์
์ฌ์์ด ๋์ง ์์ ์ผ๋ฐ ๋
ธํธ๋ถ์์, ํ๊ตญ์ด LLM์ ์ฐ๊ตฌ, ๊ฐ๋ฐํ ์ ์๋ ํ๊ฒฝ์ ๊ตฌ์ถํด ๋ณธ ๊ฒ์
๋๋ค.<br/>
AI๊ฐ๋ฐ ์๋๊ฐ ๋๋ฌด ๋น ๋ฅด๊ฒ ์งํ๋์ด, ๊ณผ๊ฑฐ ํธํ์ฑ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๋ฉฐ, ๊ตฌ์ถํด์ผ๋ง ํ์ต๋๋ค.<br/>
์์ ์ ๋ชจ๋ธ์ด ์๋ต์๋๊ฐ ๋ฆ๊ฑฐ๋, ์๋ฑํ ๋ต๋ณ์ ์์ฑํ๋ ๊ฒ์... | {"language": ["ko"], "license": "apache-2.0", "tags": ["pytorch", "causal-lm"]} | JoonkyuBest/polyglot-ko-1.3b-lite1.0 | null | [
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"region:us"
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#transformers #safetensors #gpt_neox #text-generation #pytorch #causal-lm #ko #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # polyglot-ko-1.3b-lite1.0
- EleutherAI/polyglot-ko-1.3b๋ฅผ ๊ธฐ๋ฐ์ผ๋ก, ๋ฏธ์ธ์กฐ์ ํ ๋ชจ๋ธ
- PEFT ๊ธฐ๋ฒ ์ค์ ํ๋์ธ, QLoRA๋ก ๋ฏธ์ธ์กฐ์
## ๋ชฉ์
์ฌ์์ด ๋์ง ์์ ์ผ๋ฐ ๋
ธํธ๋ถ์์, ํ๊ตญ์ด LLM์ ์ฐ๊ตฌ, ๊ฐ๋ฐํ ์ ์๋ ํ๊ฒฝ์ ๊ตฌ์ถํด ๋ณธ ๊ฒ์
๋๋ค.<br/>
AI๊ฐ๋ฐ ์๋๊ฐ ๋๋ฌด ๋น ๋ฅด๊ฒ ์งํ๋์ด, ๊ณผ๊ฑฐ ํธํ์ฑ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๋ฉฐ, ๊ตฌ์ถํด์ผ๋ง ํ์ต๋๋ค.<br/>
์์ ์ ๋ชจ๋ธ์ด ์๋ต์๋๊ฐ ๋ฆ๊ฑฐ๋, ์๋ฑํ ๋ต๋ณ์ ์์ฑํ๋ ๊ฒ์, LLM์ ๋ํ ์ง์์ด ๋ถ์กฑํด์ ๋ฐ์ํ๋ ๊ฒ์
๋๋ค.<br/>
๋ณธ ์์ค๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ์ผ์, Windo... | [
"# polyglot-ko-1.3b-lite1.0\n\n- EleutherAI/polyglot-ko-1.3b๋ฅผ ๊ธฐ๋ฐ์ผ๋ก, ๋ฏธ์ธ์กฐ์ ํ ๋ชจ๋ธ\n- PEFT ๊ธฐ๋ฒ ์ค์ ํ๋์ธ, QLoRA๋ก ๋ฏธ์ธ์กฐ์ ",
"## ๋ชฉ์ \n์ฌ์์ด ๋์ง ์์ ์ผ๋ฐ ๋
ธํธ๋ถ์์, ํ๊ตญ์ด LLM์ ์ฐ๊ตฌ, ๊ฐ๋ฐํ ์ ์๋ ํ๊ฒฝ์ ๊ตฌ์ถํด ๋ณธ ๊ฒ์
๋๋ค.<br/>\nAI๊ฐ๋ฐ ์๋๊ฐ ๋๋ฌด ๋น ๋ฅด๊ฒ ์งํ๋์ด, ๊ณผ๊ฑฐ ํธํ์ฑ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๋ฉฐ, ๊ตฌ์ถํด์ผ๋ง ํ์ต๋๋ค.<br/>\n์์ ์ ๋ชจ๋ธ์ด ์๋ต์๋๊ฐ ๋ฆ๊ฑฐ๋, ์๋ฑํ ๋ต๋ณ์ ์์ฑํ๋ ๊ฒ์, LLM์ ๋ํ ์ง์์ด ๋ถ์กฑํด์ ๋ฐ์ํ๋ ๊ฒ์
๋๋ค.<br/>\n๋ณธ ์์ค๋ฅผ... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# 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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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | wijayarobert/idefics-9b-PokemonCards | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test_ceb_checkpoint
This model is a fine-tuned version of [mikhail-panzo/fil_weak_checkpoint](https://huggingface.co/mikhail-pan... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "mikhail-panzo/fil_weak_checkpoint", "model-index": [{"name": "test_ceb_checkpoint", "results": []}]} | mikhail-panzo/test_ceb_checkpoint | null | [
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| test\_ceb\_checkpoint
=====================
This model is a fine-tuned version of mikhail-panzo/fil\_weak\_checkpoint on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4459
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
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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_H3K36me3-seqsight_4096_512_15M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_4096_512_15M-L32_all | null | [
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| GUE\_EMP\_H3K36me3-seqsight\_4096\_512\_15M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
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* F1... | [
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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_0-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_mouse_0-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-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\_mouse\_0-seqsight\_4096\_512\_15M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4670
* F1 Score: 0.6327
... | [
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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_usp2_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_usp2_dpo9", "results": []}]} | guoyu-zhang/model_usp2_dpo9 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_usp2\_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: 3.0422
* Rewards/chosen: -16.6521
* Rewards/rejected: -22.4980
* Rewards/accuracies: 0.6900
* Rewards/margins: 5.8460
* Logp... | [
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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. -->
# spark-name-hi-to-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-hi-en](https://huggingface.co/Helsinki-NLP/opus-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "Helsinki-NLP/opus-mt-hi-en", "model-index": [{"name": "spark-name-hi-to-en", "results": []}]} | ihebaker10/spark-name-hi-to-en | null | [
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| spark-name-hi-to-en
===================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-hi-en on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 6.2471
* Bleu: 4.1961
* Gen Len: 5.875
Hindi Names to English Translation Model
========================================
... | [
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null | adapter-transformers |
# Adapter `ltuzova/pretrain_tapt_unipelt_adpater` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset/) dataset and includ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset"]} | ltuzova/pretrain_tapt_unipelt_adpater | null | [
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"region:us"
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset #region-us
|
# Adapter 'ltuzova/pretrain_tapt_unipelt_adpater' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness_TAPT_pretraining_dataset dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usage
First... | [
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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. -->
# LED_multi_lexsum_peft
This model is a fine-tuned version of [pszemraj/led-large-book-summary](https://huggingface.co/pszemraj/le... | {"license": "bsd-3-clause", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "pszemraj/led-large-book-summary", "model-index": [{"name": "LED_multi_lexsum_peft", "results": []}]} | Rud/LED_multi_lexsum_peft | null | [
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] | null | 2024-04-17T07:47:00+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-pszemraj/led-large-book-summary #license-bsd-3-clause #region-us
| LED\_multi\_lexsum\_peft
========================
This model is a fine-tuned version of pszemraj/led-large-book-summary on an allenai/multi\_lexsum dataset.
It achieves the following results on the evaluation set:
* Loss: 4.2303
* Rouge1: 0.3156
* Rouge2: 0.1258
* Rougel: 0.1548
* Rougelsum: 0.185
* Bert Precision:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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text-generation | transformers |
# CeptrixBeagle-12B-MoE
CeptrixBeagle-12B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/NeuralCeptrix-7B-slerp](https://huggingface.co/allknowingroger/NeuralCeptrix-7B-sle... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/NeuralCeptrix-7B-slerp", "paulml/OmniBeagleSquaredMBX-v3-7B"], "base_model": ["allknowingroger/NeuralCeptrix-7B-slerp", "paulml/OmniBeagleSquaredMBX-v3-7B"]} | allknowingroger/CeptrixBeagle-12B-MoE | null | [
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"base_model:paulml/OmniBeagleSquaredMBX-v... | null | 2024-04-17T07:48:27+00:00 | [] | [] | TAGS
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# CeptrixBeagle-12B-MoE
CeptrixBeagle-12B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* allknowingroger/NeuralCeptrix-7B-slerp
* paulml/OmniBeagleSquaredMBX-v3-7B
## Configuration
## Usage
| [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | StupidSenpai/sn9test01 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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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. -->
# mbart-neutralization
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large... | {"license": "mit", "tags": ["Resoluci\u00f3n", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mbart-neutralization", "results": []}]} | LuisCe/mbart-neutralization | null | [
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| mbart-neutralization
====================
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9236
* Bleu: 28.8931
* Gen Len: 87.5959
Model description
-----------------
More information needed
Intended uses & ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-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: 2",
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# amazon_helpfulness_classification_unipelt_tapt_best_epoch_f1
This model is a fine-tuned version of [roberta-base](https://huggin... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "amazon_helpfulness_classification_unipelt_tapt_best_epoch_f1", "results": []}]} | ltuzova/amazon_helpfulness_classification_unipelt_tapt_best_epoch_f1 | null | [
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"tensorboard",
"roberta",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
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] | null | 2024-04-17T07:52:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #roberta #generated_from_trainer #base_model-roberta-base #license-mit #endpoints_compatible #region-us
| amazon\_helpfulness\_classification\_unipelt\_tapt\_best\_epoch\_f1
===================================================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3215
* Accuracy: 0.8763
* F1 Macro: 0.7... | [
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text-generation | transformers |
# stablelm-zephyr-3b-dare
stablelm-zephyr-3b-dare is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [stabilityai/japanese-stablelm-3b-4e1t-base](https://huggingface.co/stabilityai/japanese-stablelm-3b-4e1t-base)
* [stabili... | {"tags": ["merge", "mergekit", "lazymergekit", "stabilityai/japanese-stablelm-3b-4e1t-base", "stabilityai/stablelm-zephyr-3b", "stabilityai/japanese-stablelm-3b-4e1t-instruct"], "base_model": ["stabilityai/japanese-stablelm-3b-4e1t-base", "stabilityai/stablelm-zephyr-3b", "stabilityai/japanese-stablelm-3b-4e1t-instruct... | aipib/stablelm-zephyr-3b-dare | null | [
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"stabilityai/japanese-stablelm-3b-4e1t-instruct",
"custom_code",
"base_model:stabilityai/japanese-stablelm-3b... | null | 2024-04-17T07:53:15+00:00 | [] | [] | TAGS
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# stablelm-zephyr-3b-dare
stablelm-zephyr-3b-dare is a merge of the following models using LazyMergekit:
* stabilityai/japanese-stablelm-3b-4e1t-base
* stabilityai/stablelm-zephyr-3b
* stabilityai/japanese-stablelm-3b-4e1t-instruct
## 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_mouse_1-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_mouse_1-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_4096_512_15M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-17T07:54:50+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_mouse\_1-seqsight\_4096\_512\_15M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4034
* F1 Score: 0.8233
... | [
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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. -->
# phi-2v3.0-finetuned-intentv4.0
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) o... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2v3.0-finetuned-intentv4.0", "results": []}]} | mohits01/phi-2v3.0-finetuned-intentv4.0 | null | [
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|
# phi-2v3.0-finetuned-intentv4.0
This model is a fine-tuned version of microsoft/phi-2 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 hyperpara... | [
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text2text-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 ๐ค transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | sataayu/molt5-augmented-default-400-small-smiles2caption | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text-generation | null | # **Llama 2** | {"language": ["en"], "license": "llama2", "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "extra_gated_heading": "You need to share contact information with Meta to access this model", "extra_gated_prompt": "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means the terms and conditions for use, repr... | osanseviero/llama2-gate-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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-17-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-17-layer"]} | Citaman/command-r-16-layer | null | [
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"endpoints_compatible",
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#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-17-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-17-layer
### Configuration
The following YAML configuration w... | [
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text-generation | transformers | # perlthoughts/Chupacabra-7B-v2.01 AWQ
- Model creator: [perlthoughts](https://huggingface.co/perlthoughts)
- Original model: [Chupacabra-7B-v2.01](https://huggingface.co/perlthoughts/Chupacabra-7B-v2.01)
<p><img src="https://huggingface.co/perlthoughts/Chupacabra-7B/resolve/main/chupacabra7b%202.png" width=330></p>
... | {"license": "apache-2.0", "tags": ["quantized", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious", "model-index": [{"name": "Chupacabra-7B-v2.01", "results": [{"task": {"type": "text-generation... | solidrust/Chupacabra-7B-v2.01-AWQ | null | [
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| # perlthoughts/Chupacabra-7B-v2.01 AWQ
- Model creator: perlthoughts
- Original model: Chupacabra-7B-v2.01
<p><img src="URL width=330></p>
## Model Summary
Dare-ties merge method.
List of all models and merging path is coming soon.
## Purpose
Merging the "thick"est model weights from mistral models using amazing... | [
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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. -->
# remote_sensing_gpt_expt3
This model is a fine-tuned version of [bigscience/bloom-1b1](https://huggingface.co/bigscience/bloom-1b... | {"license": "bigscience-bloom-rail-1.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "bigscience/bloom-1b1", "model-index": [{"name": "remote_sensing_gpt_expt3", "results": []}]} | gremlin97/remote_sensing_gpt_expt3 | null | [
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"license:bigscience-bloom-rail-1.0",
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#peft #safetensors #generated_from_trainer #base_model-bigscience/bloom-1b1 #license-bigscience-bloom-rail-1.0 #region-us
| remote\_sensing\_gpt\_expt3
===========================
This model is a fine-tuned version of bigscience/bloom-1b1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5329
Model description
-----------------
More information needed
Intended uses & limitations
--------------... | [
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text-generation | transformers |
# stablelm-zephyr-3b-dare2
stablelm-zephyr-3b-dare2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [stabilityai/japanese-stablelm-3b-4e1t-base](https://huggingface.co/stabilityai/japanese-stablelm-3b-4e1t-base)
* [stabi... | {"tags": ["merge", "mergekit", "lazymergekit", "stabilityai/japanese-stablelm-3b-4e1t-base", "stabilityai/stablelm-zephyr-3b", "stabilityai/japanese-stablelm-3b-4e1t-instruct"], "base_model": ["stabilityai/japanese-stablelm-3b-4e1t-base", "stabilityai/stablelm-zephyr-3b", "stabilityai/japanese-stablelm-3b-4e1t-instruct... | aipib/stablelm-zephyr-3b-dare2 | null | [
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"conversational",
"base_model:stabilityai/japanese-stablelm-3b-4e... | null | 2024-04-17T08:03:17+00:00 | [] | [] | TAGS
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# stablelm-zephyr-3b-dare2
stablelm-zephyr-3b-dare2 is a merge of the following models using LazyMergekit:
* stabilityai/japanese-stablelm-3b-4e1t-base
* stabilityai/stablelm-zephyr-3b
* stabilityai/japanese-stablelm-3b-4e1t-instruct
## Configuration
## Usage
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null | null |
# CalmexperimentMultiverseex26-7B
CalmexperimentMultiverseex26-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [allknowingroger/CalmExperiment-7B-slerp](https://huggingface.co/allknowingroger/CalmExperiment-7B-slerp)
* [allknowingroger/Multive... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["allknowingroger/CalmExperiment-7B-slerp", "allknowingroger/MultiverseEx26-7B-slerp"]} | automerger/CalmexperimentMultiverseex26-7B | null | [
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|
# CalmexperimentMultiverseex26-7B
CalmexperimentMultiverseex26-7B is an automated merge created by Maxime Labonne using the following configuration.
* allknowingroger/CalmExperiment-7B-slerp
* allknowingroger/MultiverseEx26-7B-slerp
## Configuration
## Usage
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
anime-anything-promptgen-v2 - bnb 4bits
- Model creator: https://huggingface.co/FredZhang7/
- Original model: https://huggin... | {} | RichardErkhov/FredZhang7_-_anime-anything-promptgen-v2-4bits | null | [
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#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
anime-anything-promptgen-v2 - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: creativeml-openrail-m
language:
- en
widget:
- text: 1girl, fate
- text: 1boy, league of
- text: 1girl, genshin
- ... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
distilgpt2-stable-diffusion-v2 - bnb 4bits
- Model creator: https://huggingface.co/FredZhang7/
- Original model: https://hug... | {} | RichardErkhov/FredZhang7_-_distilgpt2-stable-diffusion-v2-4bits | null | [
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] | null | 2024-04-17T08:04:27+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
distilgpt2-stable-diffusion-v2 - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
license: creativeml-openrail-m
tags:
- stable-diffusion
- prompt-generator
- arxiv:2210.14140
widget:
- text: "amazing"
-... | [
"# Fast GPT2 PromptGen\n\n<style>\n.container {\n padding-left: 20px;\n border-left: 5px solid gray;\n}\n</style>\n\n<div class=\"container\">\n <p><strong><a href=\"URL Anime PromptGen</a></strong> generates descriptive safebooru and danbooru tags for anime text-to-image models.</p>\n</div>\n\n\nThis model was ... | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"# Fast GPT2 PromptGen\n\n<style>\n.container {\n padding-left: 20px;\n border-left: 5px solid gray;\n}\n</style>\n\n<div class=\"container\">\n <p><strong><a h... | [
39,
248,
16,
49
] | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# Fast GPT2 PromptGen\n\n<style>\n.container {\n padding-left: 20px;\n border-left: 5px solid gray;\n}\n</style>\n\n<div class=\"container\">\n <p><strong><a href=\"... |
text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
hebrew-gpt_neo-small - bnb 4bits
- Model creator: https://huggingface.co/Norod78/
- Original model: https://huggingface.co/N... | {} | RichardErkhov/Norod78_-_hebrew-gpt_neo-small-4bits | null | [
"transformers",
"safetensors",
"gpt_neo",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-04-17T08:04:30+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neo #text-generation #autotrain_compatible #endpoints_compatible #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
hebrew-gpt_neo-small - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
language: he
thumbnail: URL
widget:
- text: "ืขืื ืืืื ืงืื"
- text: "ืงืืจืืื ืื ืืืจืื ืืื ื ืืขืื ืืื ื"
- text: "ืงืืจืืื ืื ืืืฆืืง ืืื ื ... | [
"# hebrew-gpt_neo-small\n\nHebrew text generation model based on EleutherAI's gpt-neo. Each was trained on a TPUv3-8 which was made avilable to me via the TPU Research Cloud Program.",
"## Datasets\n\n1. An assortment of various Hebrew corpuses - I have made it available here\n\n\n2. oscar / unshuffled_deduplicat... | [
"TAGS\n#transformers #safetensors #gpt_neo #text-generation #autotrain_compatible #endpoints_compatible #4-bit #region-us \n",
"# hebrew-gpt_neo-small\n\nHebrew text generation model based on EleutherAI's gpt-neo. Each was trained on a TPUv3-8 which was made avilable to me via the TPU Research Cloud Program.",
... | [
34,
52,
162,
11,
3,
12,
8
] | [
"TAGS\n#transformers #safetensors #gpt_neo #text-generation #autotrain_compatible #endpoints_compatible #4-bit #region-us \n# hebrew-gpt_neo-small\n\nHebrew text generation model based on EleutherAI's gpt-neo. Each was trained on a TPUv3-8 which was made avilable to me via the TPU Research Cloud Program.## Datasets... |
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_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_mouse_4-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_4096_512_15M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-17T08:04:55+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_mouse\_4-seqsight\_4096\_512\_15M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7562
* F1 Score: 0.5964
... | [
"### 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*... | [
43,
102,
5,
52
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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... |
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_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_mouse_3-seqsight_4096_512_15M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_4096_512_15M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-04-17T08:04:56+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_mouse\_3-seqsight\_4096\_512\_15M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3397
* F1 Score: 0.6818
... | [
"### 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*... | [
43,
102,
5,
52
] | [
"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... |
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