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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | vijayvarmak/gemma-FT-Gemini1 | null | [
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"1910.09700"
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#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # from_mistral_7b4-d2c-1714545015750
Description of the model.
| {"tags": ["fine-tuned", "abc123"], "languages": ["English"]} | brandonironbirdlabs/archive_from_mistral_7b4-d2c-1714545015750 | null | [
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| # from_mistral_7b4-d2c-1714545015750
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] |
text-generation | transformers |
# `Llama 3 Youko 8B (rinna/llama-3-youko-8b)`
# Overview
We conduct continual pre-training of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on **22B** tokens from a mixture of Japanese and English datasets. The continual pre-training significantly improve... | {"language": ["ja", "en"], "license": "llama3", "datasets": ["mc4", "wikipedia", "EleutherAI/pile", "oscar-corpus/colossal-oscar-1.0", "cc100"], "thumbnail": "https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png", "inference": false} | rinna/llama-3-youko-8b | null | [
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"... | null | 2024-05-01T07:53:45+00:00 | [
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|
# 'Llama 3 Youko 8B (rinna/llama-3-youko-8b)'
!rinna-icon
# Overview
We conduct continual pre-training of meta-llama/Meta-Llama-3-8B on 22B tokens from a mixture of Japanese and English datasets. The continual pre-training significantly improves the model's performance on Japanese tasks.
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null | null | Based on IndoBERT Base P2 | {} | nfhakim/sentiment-analysis-1 | null | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | Ghangus/autotrain-a23o8-qa8to | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
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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. -->
# cnn_news_summary_model_trained_on_reduced_data
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "cnn_news_summary_model_trained_on_reduced_data", "results": []}]} | fresearching/cnn_news_summary_model_trained_on_reduced_data | null | [
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| cnn\_news\_summary\_model\_trained\_on\_reduced\_data
=====================================================
This model is a fine-tuned version of t5-small on an unknown dataset.
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* Loss: 1.6040
* Rouge1: 0.2179
* Rouge2: 0.0942
* Rougel: 0.1839
* Rougelsum: 0.... | [
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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. -->
# cnn_news_summary_model_trained_on_reduced_data
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "cnn_news_summary_model_trained_on_reduced_data", "results": []}]} | LehmanDavid/cnn_news_summary_model_trained_on_reduced_data | null | [
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| cnn\_news\_summary\_model\_trained\_on\_reduced\_data
=====================================================
This model is a fine-tuned version of t5-small on an unknown dataset.
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* Rouge1: 0.2178
* Rouge2: 0.0941
* Rougel: 0.184
* Rougelsum: 0.1... | [
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text-generation | transformers | <img src="./ninjalogo.svg" width="100%" height="20%" alt="">
- [Ninja-v1-NSFW-128k](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1-NSFW-128k) のGGUF版
# Our Models for GGUF
- [Vecteus](https://huggingface.co/Local-Novel-LLM-project/Vecteus-v1-gguf)
- [Ninja-v1](https://huggingface.co/Local-Novel-LLM-pr... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["finetuned", "not-for-all-audiences"], "pipeline_tag": "text-generation"} | Local-Novel-LLM-project/Ninja-v1-NSFW-128k-GGUF | null | [
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#transformers #gguf #finetuned #not-for-all-audiences #text-generation #en #ja #license-apache-2.0 #endpoints_compatible #region-us
| <img src="./URL" width="100%" height="20%" alt="">
- Ninja-v1-NSFW-128k のGGUF版
# Our Models for GGUF
- Vecteus
- Ninja-v1
- Ninja-v1-NSFW
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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. -->
# events-mem-small
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-small", "model-index": [{"name": "events-mem-small", "results": []}]} | eddieman78/events-mem-small | null | [
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| events-mem-small
================
This model is a fine-tuned version of google/flan-t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0314
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
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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 promotions in RTEC have shown declining effectiveness and can be discontinued?"}, {"text": "W... | vgarg/promo_prescriptive_gpt_30_04_2024_v1 | null | [
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| SetFit with intfloat/multilingual-e5-large
==========================================
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The mode... | [
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text-generation | transformers | <img src="./ninjalogo.svg" width="100%" height="20%" alt="">
- [Ninja-v1-128k](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1-128k) のGGUF版
# Our Models for GGUF
- [Vecteus-GGUF](https://huggingface.co/Local-Novel-LLM-project/Vecteus-v1-gguf)
- [Ninja-v1-GGUF](https://huggingface.co/Local-Novel-LLM-pro... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["finetuned", "not-for-all-audiences"], "pipeline_tag": "text-generation"} | Local-Novel-LLM-project/Ninja-v1-128k-GGUF | null | [
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#transformers #gguf #finetuned #not-for-all-audiences #text-generation #en #ja #license-apache-2.0 #endpoints_compatible #region-us
| <img src="./URL" width="100%" height="20%" alt="">
- Ninja-v1-128k のGGUF版
# Our Models for GGUF
- Vecteus-GGUF
- Ninja-v1-GGUF
- Ninja-v1-NSFW-GGUF
- Ninja-v1-128k-GGUF
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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. -->
# my_awesome_food_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "my_awesome_food_model", "results": []}]} | kreabs/my_awesome_food_model | null | [
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| my\_awesome\_food\_model
========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5923
* Accuracy: 0.895
Model description
-----------------
More information needed
Intended uses &... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
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-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | suryaanthony/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-05-01T08:18:29+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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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 - embracellm/sushi19_LoRA
<Gallery />
## Model description
These are embracellm/sushi19_LoRA LoR... | {"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 Spicy Srirach... | embracellm/sushi19_LoRA | null | [
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"diffusers-training",
"dora",
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"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-05-01T08:18:32+00:00 | [] | [] | TAGS
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|
# SDXL LoRA DreamBooth - embracellm/sushi19_LoRA
<Gallery />
## Model description
These are embracellm/sushi19_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 training: madeb... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-urkidi1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics... | urkidi/Reinforce-CartPole-urkidi1 | null | [
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"reinforcement-learning",
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"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-05-01T08:19:15+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_withdpo_4iters_bs256_5305lr_iter_4
This model is a fine-tuned version of [ShenaoZ/0.0001_withdpo_4iters_bs256_531lr_iter_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_withdpo_4iters_bs256_531lr_iter_3", "model-index": [{"name": "0.0001_withdpo_4iters_bs256_5305lr_iter_4", "results": []}]} | ShenaoZ/0.0001_withdpo_4iters_bs256_5305lr_iter_4 | null | [
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"endpo... | null | 2024-05-01T08:27:45+00:00 | [] | [] | TAGS
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|
# 0.0001_withdpo_4iters_bs256_5305lr_iter_4
This model is a fine-tuned version of ShenaoZ/0.0001_withdpo_4iters_bs256_531lr_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More ... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | vc64/Mistral7b_wikiQA | null | [
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"1910.09700"
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#transformers #safetensors #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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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b-chat-academy
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Ll... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-academy", "results": []}]} | DreadN0ugh7/llama-7b-chat-academy | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"region:us"
] | null | 2024-05-01T08:30:25+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
|
# llama-7b-chat-academy
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-cartpole1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"t... | joosma/Reinforce-cartpole1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-05-01T08:30:38+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_mlm_model
This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "distilbert/distilroberta-base", "model-index": [{"name": "my_awesome_eli5_mlm_model", "results": []}]} | madanagrawal/masked_language_modeling | null | [
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"base_model:distilbert/distilroberta-base",
"license:apache-2.0",
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] | null | 2024-05-01T08:32:43+00:00 | [] | [] | TAGS
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| my\_awesome\_eli5\_mlm\_model
=============================
This model is a fine-tuned version of distilbert/distilroberta-base on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9766
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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. -->
# donut-base-aadhaar-800
This model is a fine-tuned version of [jaydip-tss/donut-base-aadhaar-800](https://huggingface.co/jaydip-t... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "jaydip-tss/donut-base-aadhaar-800", "model-index": [{"name": "donut-base-aadhaar-800", "results": []}]} | jaydip-tss/donut-base-aadhaar-800 | null | [
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|
# donut-base-aadhaar-800
This model is a fine-tuned version of jaydip-tss/donut-base-aadhaar-800 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | sch-ai/seo-title-all-norallmnormistral-7b-warm-James | 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]:
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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. -->
# envit5-translation-finetune
This model is a fine-tuned version of [VietAI/envit5-translation](https://huggingface.co/VietAI/envi... | {"license": "openrail", "tags": ["envit5-translation-finetune", "generated_from_trainer"], "datasets": ["mt_eng_vietnamese"], "metrics": ["bleu"], "base_model": "VietAI/envit5-translation", "model-index": [{"name": "envit5-translation-finetune", "results": []}]} | lmh2011/envit5-translation-finetune | null | [
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| envit5-translation-finetune
===========================
This model is a fine-tuned version of VietAI/envit5-translation on the mt\_eng\_vietnamese dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0671
* Bleu: 20.0208
* Gen Len: 16.6848
Model description
-----------------
More informat... | [
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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"]} | Noname08/ppo-SnowballTarget | null | [
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|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AmaanUsmani/Finetune-test1 | 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]:
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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. -->
# shawgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | AmaanUsmani/shawgpt-ft | null | [
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| shawgpt-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6034
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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null | transformers |
# Uploaded model
- **Developed by:** DuongTrongChi
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | DuongTrongChi/llama-3-sft-step-60 | null | [
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# Uploaded model
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null | transformers |
# Uploaded model
- **Developed by:** odxxt
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit"} | odxxt/resqLoRA | null | [
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|
# Uploaded model
- Developed by: odxxt
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# Uploaded model
- **Developed by:** raviguntakala
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | raviguntakala/llama-3-8b-4bit_ORPO | null | [
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null | transformers |
# LakoMoor/Vikhr-7B-instruct_0.4-Q5_K_M-GGUF
This model was converted to GGUF format from [`Vikhrmodels/Vikhr-7B-instruct_0.4`](https://huggingface.co/Vikhrmodels/Vikhr-7B-instruct_0.4) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original m... | {"library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | LakoMoor/Vikhr-7B-instruct_0.4-Q5_K_M-GGUF | null | [
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#transformers #gguf #llama-cpp #gguf-my-repo #endpoints_compatible #region-us
|
# LakoMoor/Vikhr-7B-instruct_0.4-Q5_K_M-GGUF
This model was converted to GGUF format from 'Vikhrmodels/Vikhr-7B-instruct_0.4' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
zephyr-orpo-141b-A35b-v0.1 - GGUF
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingfa... | {} | RichardErkhov/HuggingFaceH4_-_zephyr-orpo-141b-A35b-v0.1-gguf | null | [
"gguf",
"arxiv:2403.07691",
"arxiv:2311.07911",
"region:us"
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"2403.07691",
"2311.07911"
] | [] | TAGS
#gguf #arxiv-2403.07691 #arxiv-2311.07911 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
zephyr-orpo-141b-A35b-v0.1 - GGUF
* Model creator: URL
* Original model: URL
Name: zephyr-orpo-141b-A35b-v0.1.Q2\_K.gguf, Quant method: Q2\_K, Size: 48.52GB
Name: zephyr-orpo-141b-A35b-v0.1.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 54.... | [
"### Model Description\n\n\n* Model type: A Mixture of Experts (MoE) model with 141B total parameters and 39B active parameters. (We initially made a small error in calculating the number of active parameters for the model ID. The model card states the correct number.) Fine-tuned on a mix of publicly available, syn... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | Noname08/ML-Agents-Pyramids | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
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#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutori... | [
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null | null | <img src="https://i.imgur.com/P68dXux.png" width="400"/>
# Llama-3-70B-Instruct-Storywriter-iMat-GGUF
<b>Special request.</b> Quantized from fp32 with love. If you can't fit IQ quants in your VRAM, try using the K quants in this repo instead.
* Weighted quantizations created using this [process](https://huggingface.... | {"tags": ["merge", "gguf", "llama3", "iMat"]} | InferenceIllusionist/Llama-3-70B-Instruct-Storywriter-iMat-GGUF | null | [
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#gguf #merge #llama3 #iMat #region-us
| <img src="https://i.URL width="400"/>
# Llama-3-70B-Instruct-Storywriter-iMat-GGUF
<b>Special request.</b> Quantized from fp32 with love. If you can't fit IQ quants in your VRAM, try using the K quants in this repo instead.
* Weighted quantizations created using this process
* Calculated in 88 chunks with n_ctx=512... | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tensorboy/layoutlm-aadhar-test | null | [
"transformers",
"safetensors",
"layoutlmv3",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #layoutlmv3 #token-classification #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):
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wangchanberta-base-att-spm-uncased-masking
This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased]... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "wangchanberta-base-att-spm-uncased-masking", "results": []}]} | chatiyar/wangchanberta-base-att-spm-uncased-masking | null | [
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| wangchanberta-base-att-spm-uncased-masking
==========================================
This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0452
Model description
-----------------
More informat... | [
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null | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | sayakpaul/actual_bigger_transformer | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** raviguntakala
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit"} | raviguntakala/Phi-3-mini-4k-instruct | null | [
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|
# Uploaded model
- Developed by: raviguntakala
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | peft | ## Categorical features used in training
newsroom:
- AB
- VG
- SVD
## Parameters
```
batch_size: 8
data_parameters:
- dataset_config:
input_features:
- newsroom
- article_text
shuffle_input_features: false
shuffle_trainable_features: false
trainable_features:
- keyword
- google_title
... | {"library_name": "peft", "base_model": "norallm/normistral-7b-warm", "pipeline_tag": "text-generation", "widget": [{"text": "[newsroom] AB [article_text] Bellini \u2013 det enkla \u00e4r det goda. Tv\u00e5 ingredienser r\u00e4cker f\u00f6r den h\u00e4r fr\u00e4scha drinken med smak av persika. Klassikern inneh\u00e5lle... | sch-ai/seo-title-all-norallmnormistral-7b-warm-Derrick | null | [
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"tensorboard",
"safetensors",
"text-generation",
"base_model:norallm/normistral-7b-warm",
"region:us"
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#peft #tensorboard #safetensors #text-generation #base_model-norallm/normistral-7b-warm #region-us
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newsroom:
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- SVD
## Parameters
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | AAD13AUG/my-experiment-with-phi3-mac | null | [
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#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | abc88767/model28 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | FearandDreams/distilgpt2-finetuned-wikitext2 | null | [
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| distilgpt2-finetuned-wikitext2
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
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* Loss: 3.6420
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "PixelCopter", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-PLE-v0"}, "m... | dhajnes/PixelCopter | null | [
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.004310741554945707
f1: 0.9994096330605486
precision: 0.9989157967454713
recall: 0.9999039578951412
auc: 0.9999464148624467
accuracy: 0.9994102953796883
| {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-V2-Proedge-2/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | purpleor/autotrain-V2-Proedge-2 | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.004310741554945707
f1: 0.9994096330605486
precision: 0.9989157967454713
recall: 0.9999039578951412
auc: 0.9999464148624467
accuracy: 0.9994102953796883
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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. -->
# jailbreakDetector-v6
This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/dis... | {"tags": ["security", "jailbreak", "prompt-injection", "malicious", "cybersecurity"], "datasets": ["markush1/LLM-Jailbreak-Classifier"], "metrics": ["accuracy"], "base_model": "distilbert/distilroberta-base", "pipeline_tag": "text-classification", "widget": [{"text": "I like cookies.", "example_title": "bening", "outpu... | markush1/jailbreakDetector-v6 | null | [
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"endpoints_compatible"... | null | 2024-05-01T09:00:19+00:00 | [] | [] | TAGS
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| jailbreakDetector-v6
====================
This model is a fine-tuned version of distilbert/distilroberta-base on markush1/LLM-Jailbreak-Classifier dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0005
* Accuracy: 0.9999
Usage
-----
Use with pipeline
Use directly w\o pipeline
Model... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mnoukhov/pythia-2.8b-sft_hh_rlhf | 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 |
# phillama-prune3
phillama-prune3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [raincandy-u/phillama-3.8b-v1](https://huggingface.co/raincandy-u/phillama-3.8b-v1)
* [raincandy-u/phillama-3.8b-v1](https://huggingface.c... | {"tags": ["merge", "mergekit", "lazymergekit", "raincandy-u/phillama-3.8b-v1"], "base_model": ["raincandy-u/phillama-3.8b-v1", "raincandy-u/phillama-3.8b-v1"]} | aipib/phillama-prune3 | null | [
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|
# phillama-prune3
phillama-prune3 is a merge of the following models using LazyMergekit:
* raincandy-u/phillama-3.8b-v1
* raincandy-u/phillama-3.8b-v1
## Configuration
## Usage
| [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - iow9/sakshidb
<Gallery />
## Model description
These are iow9/sakshidb LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: False.
Special VAE ... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a girl Sakshi Solanki"} | iow9/sakshidb | null | [
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"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-05-01T09:09:32+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - iow9/sakshidb
<Gallery />
## Model description
These are iow9/sakshidb 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 training: None.
## Trig... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Narkantak/phi3-Intent-entity-Classifier-AshuIT | null | [
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"safetensors",
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"endpoints_compatible",
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"1910.09700"
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|
# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | chendelong/DirectSAM-EntitySeg-1024px-0501 | null | [
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|
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ben-pfirsich/el_true_parallel | null | [
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|
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-tokenizer
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "wav2vec2-tokenizer", "results": []}]} | abbenedek/wav2vec2-base-wer | null | [
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"automatic-speech-recognition",
"generated_from_trainer",
"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T09:12:03+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| wav2vec2-tokenizer
==================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0005
* Wer: 0.2412
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. -->
# dpo_helpfulhelpful_gpt3_subset20000_modelgemma2b_maxsteps5000_bz8_lr5e-06
This model is a fine-tuned version of [google/gemma-2b... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "dpo_helpfulhelpful_gpt3_subset20000_modelgemma2b_maxsteps5000_bz8_lr5e-06", "results": []}]} | Holarissun/dpo_helpfulhelpful_gpt3_subset20000_modelgemma2b_maxsteps5000_bz8_lr5e-06 | null | [
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|
# dpo_helpfulhelpful_gpt3_subset20000_modelgemma2b_maxsteps5000_bz8_lr5e-06
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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"## Intended uses & limitations\n\nMore information needed",
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text-classification | transformers | **Input:** Use-case description (Text)
**Output:** COSMIC Total Size (E+R+W+X)
**Task:** Regression (MSE Loss)
**Dataset:** uc-2040-en | {"language": "en", "license": "cc-by-nc-nd-4.0", "widget": [{"text": "The data gets removed from database, the system shows a success message."}, {"text": "A form page pops up."}, {"text": "The user clicks the Logout button."}], "base_model": "bert-base-uncased", "inference": {"parameters": {"function_to_apply": "none"... | smtnkc/bert-ssm-uc-cosmic-total | null | [
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| Input: Use-case description (Text)
Output: COSMIC Total Size (E+R+W+X)
Task: Regression (MSE Loss)
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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. -->
# dpo_helpfulhelpful_gpt3_subset20000_modelgemma2b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of [google/gemma-2b... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "dpo_helpfulhelpful_gpt3_subset20000_modelgemma2b_maxsteps5000_bz8_lr1e-06", "results": []}]} | Holarissun/dpo_helpfulhelpful_gpt3_subset20000_modelgemma2b_maxsteps5000_bz8_lr1e-06 | null | [
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|
# dpo_helpfulhelpful_gpt3_subset20000_modelgemma2b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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text-generation | transformers |
## Qwen1.5-7B-Chat-DcardStylePost-SFT
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "JiunYi/Qwen1.5-7B-Chat-DcardStylePost-SFT"
messages = [{"role": "user", "content": "【任务】：\n你是口碑行销公司的资深写手，现在要撰写一篇Dcard 『闲聊版』的口碑文。\n麻烦熟... | {"language": ["zh"], "license": "apache-2.0", "tags": ["art", "marketing", "llama-factory"], "metrics": ["bleu"], "base_model": "Qwen/Qwen1.5-7B-Chat"} | JiunYi/Qwen1.5-7B-Chat-DcardStylePost-SFT | null | [
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## Qwen1.5-7B-Chat-DcardStylePost-SFT
## Usage
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] |
reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | tarpalsus/rl_course_vizdoom_health_gathering_supreme | null | [
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#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
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null | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | sayakpaul/smol_unet2d | null | [
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null | transformers | ### Representation FineTuning (ReFT) Adaptor for Alinging Llama3 towards human preference
| >99% Accuracy on test set based off training dataset of size <500|
Following code load & run inference with the ReFT adapted Llama3
```python
from huggingface_hub import login
login(
token=HF_TOKEN, # ADD YOUR TOKEN ... | {} | Ksgk-fy/Zalinger02_reft_llama3 | null | [
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] |
text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AudreyTrungNguyen/phobert_ptv2_Classification_for_StudentFeedback | null | [
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text-generation | transformers |
# Dolphin 2.9 Mixtral 8x22b 🐬
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: https://discord.gg/8fbBeC7ZGx
<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" />
My apprecia... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer", "axolotl"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k"... | blockblockblock/dolphin-2.9-mixtral-8x22b-bpw3.7-exl2 | null | [
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"dataset:cognitivecomputations/dolphin-cod... | null | 2024-05-01T09:22:25+00:00 | [] | [
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=========================
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: URL
<img src="URL width="600" />
My appreciation for the sponsors of Dolphin 2.9:
* Crusoe Cloud - provided excellent on-demand 8xH100 node
This... | [
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text-generation | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ben-pfirsich/el_synthetic_data | null | [
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"TAGS\n#transformers #safetensors #llama #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on t... |
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. -->
# dpo_helpfulhelpful_human_subset20000_modelgemma2b_maxsteps5000_bz8_lr5e-06
This model is a fine-tuned version of [google/gemma-2... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "dpo_helpfulhelpful_human_subset20000_modelgemma2b_maxsteps5000_bz8_lr5e-06", "results": []}]} | Holarissun/dpo_helpfulhelpful_human_subset20000_modelgemma2b_maxsteps5000_bz8_lr5e-06 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:google/gemma-2b",
"license:gemma",
"region:us"
] | null | 2024-05-01T09:25:00+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
|
# dpo_helpfulhelpful_human_subset20000_modelgemma2b_maxsteps5000_bz8_lr5e-06
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
"# dpo_helpfulhelpful_human_subset20000_modelgemma2b_maxsteps5000_bz8_lr5e-06\n\nThis model is a fine-tuned version of google/gemma-2b on an unknown dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMo... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model_perturbations
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "model_perturbations", "results": []}]} | cria111/model_perturbations | null | [
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"tensorboard",
"safetensors",
"distilbert",
"token-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T09:25:32+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #token-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| model\_perturbations
====================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1463
* Precision: 0.4596
* Recall: 0.3968
* F1: 0.4259
* Accuracy: 0.9632
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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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. -->
# dpo_helpfulhelpful_human_subset20000_modelgemma2b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of [google/gemma-2... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "dpo_helpfulhelpful_human_subset20000_modelgemma2b_maxsteps5000_bz8_lr1e-06", "results": []}]} | Holarissun/dpo_helpfulhelpful_human_subset20000_modelgemma2b_maxsteps5000_bz8_lr1e-06 | null | [
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"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:google/gemma-2b",
"license:gemma",
"region:us"
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
|
# dpo_helpfulhelpful_human_subset20000_modelgemma2b_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | team-sanai/llama2_0.1B_lora_sample_not_head | null | [
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"1910.09700"
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#transformers #safetensors #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]:
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- License... | [
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null | transformers |
# Uploaded model
- **Developed by:** raviguntakala
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit"} | raviguntakala/Phi-3-mini-4k-instruct_ORPO | null | [
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] | null | 2024-05-01T09:28:38+00:00 | [] | [
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|
# Uploaded model
- Developed by: raviguntakala
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | Prompt Example:
```
### System:
You are an AI assistant. User will give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.
### User:
How do you fine tune a large language model?
### Assistant:
``` | {"license": "apache-2.0"} | KnutJaegersberg/Deita-Mixtral-8x7b | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T09:30:39+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Prompt Example:
| [] | [
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] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | islam23/LLAMA3_FINETUNNED | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #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.
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null | null | # Actifine Kapseln Deutschland Erfahrungen - ACTIFINE Höhle der löwen Kaufen, Pries
Actifine Kapseln Deutschland Erfahrungen - Acifine P Tablet ist ein schmerzlinderndes Arzneimittel. Es wird zur Linderung von Schmerzen und Entzündungen bei Erkrankungen wie rheumatoider Arthritis, Morbus Bechterew und Osteoarthritis e... | {} | VKapseln475/Actifine788 | null | [
"region:us"
] | null | 2024-05-01T09:32:01+00:00 | [] | [] | TAGS
#region-us
| # Actifine Kapseln Deutschland Erfahrungen - ACTIFINE Höhle der löwen Kaufen, Pries
Actifine Kapseln Deutschland Erfahrungen - Acifine P Tablet ist ein schmerzlinderndes Arzneimittel. Es wird zur Linderung von Schmerzen und Entzündungen bei Erkrankungen wie rheumatoider Arthritis, Morbus Bechterew und Osteoarthritis e... | [
"# Actifine Kapseln Deutschland Erfahrungen - ACTIFINE Höhle der löwen Kaufen, Pries\n\nActifine Kapseln Deutschland Erfahrungen - Acifine P Tablet ist ein schmerzlinderndes Arzneimittel. Es wird zur Linderung von Schmerzen und Entzündungen bei Erkrankungen wie rheumatoider Arthritis, Morbus Bechterew und Osteoarth... | [
"TAGS\n#region-us \n",
"# Actifine Kapseln Deutschland Erfahrungen - ACTIFINE Höhle der löwen Kaufen, Pries\n\nActifine Kapseln Deutschland Erfahrungen - Acifine P Tablet ist ein schmerzlinderndes Arzneimittel. Es wird zur Linderung von Schmerzen und Entzündungen bei Erkrankungen wie rheumatoider Arthritis, Morbu... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | venkatareddykonasani/Bank_distil_bert_10K_temp | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T09:32:50+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #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.
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sentence-similarity | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["sentence-similarity", "sentence-transformers"]} | FelixChao/roberta-large-mrpc-bitfit | null | [
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"text-classification",
"sentence-similarity",
"sentence-transformers",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
] | null | 2024-05-01T09:34:07+00:00 | [
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|
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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. -->
# envit5-translation-finetuned-en-to-vi
This model is a fine-tuned version of [VietAI/envit5-translation](https://huggingface.co/V... | {"license": "openrail", "tags": ["envit5-translation-finetune", "generated_from_trainer"], "datasets": ["mt_eng_vietnamese"], "metrics": ["bleu"], "base_model": "VietAI/envit5-translation", "model-index": [{"name": "envit5-translation-finetuned-en-to-vi", "results": []}]} | lmh2011/envit5-translation-finetuned-en-to-vi | null | [
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"base_model:VietAI/envit5-translation",
"license:openrail",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-infer... | null | 2024-05-01T09:34:23+00:00 | [] | [] | TAGS
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| envit5-translation-finetuned-en-to-vi
=====================================
This model is a fine-tuned version of VietAI/envit5-translation on the mt\_eng\_vietnamese dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0671
* Bleu: 20.0208
* Gen Len: 16.6848
Model description
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AudreyTrungNguyen/mbert_ptv2_Classification_for_StudentFeedback | 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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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilhubert-bass-classifier7
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["TheDuyx/augmented_bass_sounds"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-bass-classifier7", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "d... | TheDuyx/distilhubert-bass-classifier7 | null | [
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| distilhubert-bass-classifier7
=============================
This model is a fine-tuned version of ntu-spml/distilhubert on the augmented\_bass\_sounds dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0285
* Accuracy: 0.9979
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\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\\_rati... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_withdpo_4iters_bs256_511lr_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_sample1_4iters_bs256_it... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_1", "model-index": [{"name": "0.0001_withdpo_4iters_bs256_511lr_iter_2", "results": []}]} | ShenaoZ/0.0001_withdpo_4iters_bs256_511lr_iter_2 | null | [
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"e... | null | 2024-05-01T09:37:10+00:00 | [] | [] | TAGS
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# 0.0001_withdpo_4iters_bs256_511lr_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
Mo... | [
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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. -->
# xlm-r
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended use... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "xlm-r", "results": []}]} | tidarat/xlm-r | null | [
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#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# xlm-r
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters wer... | [
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text-generation | null |
<div align="center">
<h1>Llama-3-8B-Instruct-80K-QLoRA-Merged</h1>
<a href="https://github.com/FlagOpen/FlagEmbedding/tree/master/Long_LLM/longllm_qlora">[Data&Code]</a>
</div>
We extend the context length of Llama-3-8B-Instruct to 80K using QLoRA and 3.5K long-context training data synthesized from GPT-4. The entir... | {"license": "mit", "pipeline_tag": "text-generation"} | namespace-Pt/Llama-3-8B-Instruct-80K-QLoRA-Merged-GGUF | null | [
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"arxiv:2308.14508",
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"region:us"
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"2308.14508",
"2402.13718"
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#gguf #text-generation #arxiv-2308.14508 #arxiv-2402.13718 #license-mit #region-us
|
Llama-3-8B-Instruct-80K-QLoRA-Merged
====================================
<a href="URL
We extend the context length of Llama-3-8B-Instruct to 80K using QLoRA and 3.5K long-context training data synthesized from GPT-4. The entire training cycle is super efficient, which takes 8 hours on a 8xA800 (80G) machine. Yet... | [] | [
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null | null | <!-- 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/Llama-3-Soliloquy-8B-v1-24k-GGUF-smashed | null | [
"gguf",
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#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the openlynn/Llama-3-Soliloquy-8B-v1-24k model.
-----------------------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster,... | [
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
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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 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | astro21/pix2struct-base-coco | 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 | 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. -->
# Meta-Llama-3-8B-Instruct-advisegpt-v0.2
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://hugg... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "metrics": ["bleu", "rouge"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct-advisegpt-v0.2", "results": []}]} | ninyx/Meta-Llama-3-8B-Instruct-advisegpt-v0.2 | null | [
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| Meta-Llama-3-8B-Instruct-advisegpt-v0.2
=======================================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6891
* Bleu: {'bleu': 0.7794801643070653, 'precisions': [0.8826931860... | [
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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. -->
# PhayaThaiBert
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Inte... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "PhayaThaiBert", "results": []}]} | tidarat/PhayaThaiBert | null | [
"transformers",
"safetensors",
"camembert",
"text-classification",
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|
# PhayaThaiBert
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparame... | [
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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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "bsd-3-clause", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "MIT/ast-finetuned-audioset-10-10-0.4593", "model-index": [{"name": "ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "... | Abhinay45/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan | null | [
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| <img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
===================================================
This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the GTZAN dataset.
It achieves the following results on... | [
"### 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* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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null | null | # from_mistral_7b4-d2c-1714545015750
Description of the model.
| {"tags": ["fine-tuned", "abc123"], "languages": ["English"]} | brandonironbirdlabs/archive_from_mistral_7b4-d2c-1714545015750-GGUF | null | [
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| # from_mistral_7b4-d2c-1714545015750
Description of the model.
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilr... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-wikitext2", "results": []}]} | FearandDreams/distilroberta-base-finetuned-wikitext2 | null | [
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"region:us"
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#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilroberta-base-finetuned-wikitext2
======================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8611
Model description
-----------------
More information needed
Intended uses & limi... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | xp0tat0/farmer_x1 | null | [
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"autotrain_compatible",
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#transformers #safetensors #stablelm #text-generation #conversational #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.
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- Shared by [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | clio-ai/tinystories15M | null | [
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"1910.09700"
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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
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | clio-ai/tinyrecipes15M | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# trained_falcon_sharded_HPE
This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelka... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "ybelkada/falcon-7b-sharded-bf16", "model-index": [{"name": "trained_falcon_sharded_HPE", "results": []}]} | sathwik77/trained_falcon_sharded_HPE | null | [
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|
# trained_falcon_sharded_HPE
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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text-generation | transformers |
## Model Details
For testing/training only
## Citation instructions
@article{llama3modelcard,
title={Llama 3 Model Card},
author={AI@Meta},
year={2024},
url = {https://github.com/meta-llama/llama3/blob/main/MODEL_CARD.md}
}
## Contributors
Aaditya Singh; Aaron Grattafiori; Abhimanyu Dubey; Abhinav Ja... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | ExAi/Meta-Llama-3-MoE-4x8B-Instruct | null | [
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"text-generation",
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"conversational",
"en",
"license:other",
"autotrain_compatible",
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"text-generation-inference",
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] | null | 2024-05-01T09:59:28+00:00 | [] | [
"en"
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|
## Model Details
For testing/training only
instructions
@article{llama3modelcard,
title={Llama 3 Model Card},
author={AI@Meta},
year={2024},
url = {URL
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Aaditya Singh; Aaron Grattafiori; Abhimanyu Dubey; Abhinav Jauhri; Abhinav Pandey; Abhishek Kadian; Adam Kelsey; Adi Gangidi; Ahmad... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | ws11yrin/ppo-mlppolicy-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-05-01T09:59:33+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | twodigit/Mistral-7B-Instruct-v0.2-stockname_103k-sft-lora-10000 | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
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## 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 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | twodigit/Mistral-7B-Instruct-v0.2-stockname_103k-sft-lora-25000 | 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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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
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-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | Leevroko/ppo-Huggy | null | [
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"Huggy",
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "CohereForAI/aya-101", "model-index": [{"name": "aya-Lora_12K-V0-0", "results": []}]} | Nima-nlc/aya-Lora_12K-V0-0 | null | [
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|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# aya-Lora_12K-V0-0
This model is a fine-tuned version of CohereForAI/aya-101 on an unknown dataset.
## Model description
More information needed
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "kloodia/llama8", "model-index": [{"name": "qlora-out", "results": []}]} | kloodia/llama-8x8-qlora-alpaca | null | [
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|
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
<details><summary>See axolotl config</summary>
axolotl version: '0.4.0'
</details><br>
# qlora-out
This model is a fine-tuned version of kloodia/llama8 on the None dataset.
## Model description
More information needed
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text-generation | transformers |
# Uploaded model
- **Developed by:** kheopss
- **License:** apache-2.0
- **Finetuned from model :** teknium/OpenHermes-2.5-Mistral-7B
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "teknium/OpenHermes-2.5-Mistral-7B"} | kheopss/kheops_agent_v4 | null | [
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|
# Uploaded model
- Developed by: kheopss
- License: apache-2.0
- Finetuned from model : teknium/OpenHermes-2.5-Mistral-7B
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | twodigit/Meta-Llama-3-8B-Instruct-koconv2_4327k-sft-full-5000 | 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
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | twodigit/Meta-Llama-3-8B-Instruct-koconv2_4327k-sft-full-10000 | null | [
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text-generation | transformers |
# LexiLumin-7B
LexiLumin-7B is a merge of four models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing).
This model excels in roleplaying and storytelling.
# 🏆 Open LLM Leaderboard Evaluation Results
| Metric |Value|
|--------------... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"]} | Ppoyaa/LexiLumin-7B | null | [
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| LexiLumin-7B
============
LexiLumin-7B is a merge of four models using LazyMergekit.
This model excels in roleplaying and storytelling.
Open LLM Leaderboard Evaluation Results
=======================================
Usage
-----
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | urkidi/a2c-PandaReachDense-v3 | null | [
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"model-index",
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#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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