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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 1.0093501806259155
f1_macro: 0.23304414883362254
f1_micro: 0.5374355326338254
f1_weighted: 0.37573861876678316
precision_macro: 0.17914517754460846
precision_micro: 0.5374355326338254
precision_weighted: 0.288836951... | {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-3cist-1i0ba/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | Akhil-9640/Telugu-AI4Bharath-Sentiment-Classification | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 1.0093501806259155
f1_macro: 0.23304414883362254
f1_micro: 0.5374355326338254
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text-generation | transformers | Quantizations of https://huggingface.co/NousResearch/Nous-Capybara-3B-V1.9
# From original readme
## Prompt Format
The model follows ChatML prompt format
```
<|im_start|>system
You are a helpful AI assistant.<|im_end|>
<|im_start|>user
How are you<|im_end|>
<|im_start|>assistant
I am doing well!<|im_end|>
```
| {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "Nous-Capybara-3B-V1.9"], "pipeline_tag": "text-generation", "inference": false} | duyntnet/Nous-Capybara-3B-V1.9-imatrix-GGUF | null | [
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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": []} | kssumanth6/t5_small_sentence_polishing_generator_v2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# llama2-poison-20p
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-... | {"license": "llama2", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2-poison-20p", "results": []}]} | terry69/llama2-poison-20p | null | [
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"license:llama2",
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| llama2-poison-20p
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9493
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# G0428B1
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
I... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "G0428B1", "results": []}]} | Litzy619/G0428B1 | null | [
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#safetensors #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| G0428B1
=======
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1184
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
T... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-hf-platypus-lamini-vxxiii-chat-real_instruct_v2
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral-7b-hf-platypus-lamini-vxxiii-chat-real_instruct_v2", "results": []}]} | NassimB/mistral-7b-hf-platypus-lamini-vxxiii-chat-real_instruct_v2 | null | [
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|
# mistral-7b-hf-platypus-lamini-vxxiii-chat-real_instruct_v2
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information need... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "t5-base"} | PQlet/T5base-lora-sumarizationTables-v2 | null | [
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### Model Description
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- Model type:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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text-generation | null |
# seawolf2357/Phi-3-mini-128k-instruct-Q4_K_M-GGUF
This model was converted to GGUF format from [`microsoft/Phi-3-mini-128k-instruct`](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [or... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "llama-cpp", "gguf-my-repo"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations... | seawolf2357/Phi-3-mini-128k-instruct-Q4_K_M-GGUF | null | [
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# seawolf2357/Phi-3-mini-128k-instruct-Q4_K_M-GGUF
This model was converted to GGUF format from 'microsoft/Phi-3-mini-128k-instruct' 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.... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/GodsonNtungi/Swahili_Gemma_vllm
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do no... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "GodsonNtungi/Swahili_Gemma_vllm", "quantized_by": "mradermacher"} | mradermacher/Swahili_Gemma_vllm-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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"]} | izaznov/ppo-Pyramids_Training | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-28T06:00:17+00:00 | [] | [] | TAGS
#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:
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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": []} | Rimyy/Gemma-2b-finetuneGSMdata5ep | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# 0.001_5iters_bs256_nodpo_only4w_iter_7
This model is a fine-tuned version of [ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_6... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_6", "model-index": [{"name": "0.001_5iters_bs256_nodpo_only4w_iter_7", "results": []}]} | ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_7 | null | [
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# 0.001_5iters_bs256_nodpo_only4w_iter_7
This model is a fine-tuned version of ShenaoZhang/0.001_5iters_bs256_nodpo_only4w_iter_6 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# G0428HMA1
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "G0428HMA1", "results": []}]} | Litzy619/G0428HMA1 | null | [
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| G0428HMA1
=========
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
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* Loss: 0.1167
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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text-to-speech | transformers |
[X(Twitter) アカウント](https://twitter.com/peony__snow)

# このモデルの長所は幼げなおっとりしたボイス生成を商用・非商用問わず無料で自由に使える点です。
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|
X(Twitter) アカウント
!image/png
# このモデルの長所は幼げなおっとりしたボイス生成を商用・非商用問わず無料で自由に使える点です。
# The advantage of this model is that you can freely use the childish and unapologetic voice generation for free, both commercial and non-commercial.
このモデルはRikkaBotanのASMRバージョンです。
ささやき声での演技に適しています。
もしもっと感情的に話してほしい場合は、sweetバージョン
英語で話してほし... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### 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": []} | quickstep3621/lusjmp7 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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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": []} | quickstep3621/qo7ax2t | null | [
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text-to-speech | transformers |
[X(Twitter) アカウント](https://twitter.com/peony__snow)

# このモデルの長所は幼げなおっとりしたボイス生成を商用・非商用問わず無料で自由に使える点です。
# The advantage of this model is that you can freely use the childish and unapologetic voice g... | {"language": ["en"], "license": "cc-by-sa-4.0", "tags": ["style-bert-vits2", "tts", "childish", "childish voice", "english", "text2audio", "text-to-audio", "text to audio", "audio"], "pipeline_tag": "text-to-speech"} | RikkaBotan/style_bert_vits2_english_original | null | [
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|
X(Twitter) アカウント
!image/png
# このモデルの長所は幼げなおっとりしたボイス生成を商用・非商用問わず無料で自由に使える点です。
# The advantage of this model is that you can freely use the childish and unapologetic voice generation for free, both commercial and non-commercial.
このモデルはRikkaBotanの英語バージョンです。
日本語で論理的に話してほしい場合は、coolバージョン
日本語で感情的に話してほしい場合はsweetバージョン
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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": []} | BenjaminTT/GPT-2-imdb | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zlm_b64_le4_s4000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "zlm_b64_le4_s4000", "results": []}]} | mikhail-panzo/zlm_b64_le4_s4000 | null | [
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| zlm\_b64\_le4\_s4000
====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3333
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
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null | transformers | Full Model:- [Here](https://huggingface.co/OEvortex/EMO-2B)
# EMO-2B: Emotionally Intelligent Conversational AI
## Overview
EMO-2B is a state-of-the-art conversational AI model with 2.5 billion parameters, designed to engage in emotionally resonant dialogue. Building upon the success of EMO-1.5B, this model has been ... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["EMO", "HelpingAI"], "widget": [{"messages": [{"role": "user", "content": "My best friend recently lost their parent to cancer after a long battle. They are understandably devastated and struggling with grief."}]}], "inference": {"parameters": {"max_new... | Abhaykoul/EMO-2B-GGUF | null | [
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| Full Model:- Here
# EMO-2B: Emotionally Intelligent Conversational AI
## Overview
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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. -->
# gpt2-wikitext2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "gpt2-wikitext2", "results": []}]} | SakshamG7/gpt2-wikitext2 | null | [
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"text-generation-inference",
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| gpt2-wikitext2
==============
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 6.1069
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-squad
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-squad", "results": []}]} | suji05/bert-finetuned-squad | null | [
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|
# bert-finetuned-squad
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# qa_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "qa_model", "results": []}]} | hsueh99887766/qa_model | null | [
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| qa\_model
=========
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8710
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
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null | null | This RoBERTa model is trained on Devign for code vulnerability detection. It is a binary classification model. | {"license": "apache-2.0"} | Rojic/VulRoBERTa | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-28T06:13:11+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
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null | transformers |
# Uploaded model
- **Developed by:** chillies
- **License:** apache-2.0
- **Finetuned from model :** llama-3-8b
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text-generation | transformers |
# Uploaded model
- **Developed by:** Ramikan-BR
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/tinyllama-bnb-4bit"} | Ramikan-BR/tinyllama_PY-CODER-bnb-4bit-lora_4k-v2 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** gromoboy
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This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Genstruct-7B - bnb 4bits
- Model creator: https://huggingface.co/NousResearch/
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Genstruct-7B - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
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visual-question-answering | transformers |
# Model Card for InternVL-Chat-V1.5-Int8
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64119264f0f81eb569e0d569/D60YzQBIzvoCvLRp2gZ0A.jpeg" alt="Image Description" width="300" height="300" />
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> _Two interns holding hands, symbolizing the integration of InternViT and InternL... | {"license": "mit", "datasets": ["laion/laion2B-en", "laion/laion-coco", "laion/laion2B-multi", "kakaobrain/coyo-700m", "conceptual_captions", "wanng/wukong100m"], "pipeline_tag": "visual-question-answering"} | OpenGVLab/InternVL-Chat-V1-5-Int8 | null | [
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... | null | 2024-04-28T06:21:01+00:00 | [
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======================================

>
> *Two interns holding hands, symbolizing the integration of InternViT and InternLM.*
>
>
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[InternVL 1.5 Technical Report] [Paper] [GitHub] [Chat Demo] [中文解读]
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Genstruct-7B - bnb 8bits
- Model creator: https://huggingface.co/NousResearch/
- Original model: https://huggingface.co/Nous... | {} | RichardErkhov/NousResearch_-_Genstruct-7B-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Genstruct-7B - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
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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. -->
# bert-base-cased-wikitext2
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-base-cased-wikitext2", "results": []}]} | SakshamG7/bert-base-cased-wikitext2 | null | [
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# bert-base-cased-wikitext2
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adapterhappy2sad-2k-50-0.006 | null | [
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null | transformers |
# Uploaded model
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# Model Card for Model ID
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text-generation | transformers |
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text-generation | transformers |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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null | diffusers |
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text-generation | transformers |
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token-classification | transformers |
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text-generation | transformers |
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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)
Genstruct-7B - GGUF
- Model creator: https://huggingface.co/NousResearch/
- Original model: https://huggingface.co/NousResea... | {} | RichardErkhov/NousResearch_-_Genstruct-7B-gguf | null | [
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#gguf #arxiv-2310.04484 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Genstruct-7B - GGUF
* Model creator: URL
* Original model: URL
Name: Genstruct-7B.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: Genstruct-7B.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Nous-Hermes-2-Mixtral-8x7B-DPO - bnb 4bits
- Model creator: https://huggingface.co/NousResearch/
- Original model: https://h... | {} | RichardErkhov/NousResearch_-_Nous-Hermes-2-Mixtral-8x7B-DPO-4bits | null | [
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#transformers #safetensors #mixtral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Nous-Hermes-2-Mixtral-8x7B-DPO - bnb 4bits
- Model creator: URL
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Original model description:
---
base_model: mistralai/Mixtral-8x7B-v0.1
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text-generation | transformers |

## Responsible AI Considerations for the Phi3stran Models
Like other language models, the Phi series can potentially exhibit behaviors that are unfair, unreliable, or offensive. It’s impor... | {"language": ["it"], "license": "mit", "library_name": "transformers", "tags": ["Conversational"], "datasets": ["Antonio88/TaliStran-DataSet"], "base_model": "microsoft/Phi-3-mini-128k-instruct"} | Antonio88/PHI3STRAN-128K-ITA-V.0.1.0 | null | [
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| !image/jpeg
Responsible AI Considerations for the Phi3stran Models
------------------------------------------------------
Like other language models, the Phi series can potentially exhibit behaviors that are unfair, unreliable, or offensive. It’s important to be aware of some limiting behaviors:
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null | null | German autoregressive transformer based g2p model, intended to be used in zerovox
https://github.com/gooofy/zerovox
---
license: apache-2.0
---
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| German autoregressive transformer based g2p model, intended to be used in zerovox
URL
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null | transformers |
# Uploaded model
- **Developed by:** Crysiss
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Crysiss/llama3-8B-healthcare-low-2 | null | [
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|
# Uploaded model
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- License: apache-2.0
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<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": []} | shallow6414/zmpjgqc | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# stablelm-2-1_6b-sft-full-spin-sigmoid-iter0_1_61101_large_margin_0_1
This model is a fine-tuned version of [nnheui/stablelm-2-1_... | {"license": "other", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["nnheui/stablelm-2-1_6b-sft-full-ultrachat_200k_generated-1_61101"], "base_model": "nnheui/stablelm-2-1_6b-sft-full", "model-index": [{"name": "stablelm-2-1_6b-sft-full-spin-... | nnheui/stablelm-2-1_6b-sft-full-spin-sigmoid-iter0_1_61101_large_margin_0_1 | null | [
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# stablelm-2-1_6b-sft-full-spin-sigmoid-iter0_1_61101_large_margin_0_1
This model is a fine-tuned version of nnheui/stablelm-2-1_6b-sft-full on the nnheui/stablelm-2-1_6b-sft-full-ultrachat_200k_generated-1_61101 dataset.
## Model description
More information needed
## Intended uses & limitations
More informati... | [
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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": []} | rikitonoto/lua_copilot_small | null | [
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# Model Card for Model ID
## Model Details
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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. -->
# vit5-base-finetuned-VN
This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on an u... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "vit5-base-finetuned-VN", "results": []}]} | honganhle/vit5-base-finetuned-VN | null | [
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| vit5-base-finetuned-VN
======================
This model is a fine-tuned version of VietAI/vit5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8246
* Rouge1: 46.3428
* Rouge2: 20.2208
* Rougel: 32.2913
* Rougelsum: 32.4194
* Gen Len: 18.9541
Model description
------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/ikwkaj1 | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | TinyPixel/llama-3-adapter2 | null | [
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('phoebe25/sd-class-butterfli... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | phoebe25/sd-class-butterflies-32 | null | [
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|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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null | null |
# Yamshadowexperiment28T3qm7-7B
Yamshadowexperiment28T3qm7-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: automerger/YamshadowExperiment28-7B
- model: nlpgu... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Yamshadowexperiment28T3qm7-7B | null | [
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Yamshadowexperiment28T3qm7-7B
Yamshadowexperiment28T3qm7-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-hf"} | JawadUddin/my-llama | null | [
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#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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null | transformers |
# 👑 Llama-3-Open-Ko-Linear-8B-GGUF
Quantized by [llama.cpp](https://github.com/ggerganov/llama.cpp)
## 🏝️ Merge Details
"I thought about it yesterday—merging the solid foundation of beomi/Llama-3-Open-Ko-8B with the specialized precision of beomi/Llama-3-Open-Ko-8B-Instruct-preview, using task arithmetic, is like... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "llama.cpp"], "base_model": ["beomi/Llama-3-Open-Ko-8B-Instruct-preview", "beomi/Llama-3-Open-Ko-8B"]} | asiansoul/Llama-3-Open-Ko-Linear-8B-GGUF | null | [
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|
# Llama-3-Open-Ko-Linear-8B-GGUF
Quantized by URL
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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": []} | javijer/llama3-8b-selfrag | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - manhdofts03/bon_output
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true, "instance_prompt": "a photo of sks dog"} | manhdofts03/bon_output | null | [
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|
# DreamBooth - manhdofts03/bon_output
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## 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. -->
# inlegalllama-pt-15-04-2024
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Ll... | {"license": "apache-2.0", "library_name": "peft", "tags": ["llama-factory", "lora", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "inlegalllama-pt-15-04-2024", "results": []}]} | sudipto-ducs/InLegalLLaMA | null | [
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|
# inlegalllama-pt-15-04-2024
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the inlegalllama-laws and the inlegalllama-sci datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
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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)
Nous-Hermes-2-Mixtral-8x7B-DPO - GGUF
- Model creator: https://huggingface.co/NousResearch/
- Original model: https://huggin... | {} | RichardErkhov/NousResearch_-_Nous-Hermes-2-Mixtral-8x7B-DPO-gguf | null | [
"gguf",
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#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Nous-Hermes-2-Mixtral-8x7B-DPO - GGUF
* Model creator: URL
* Original model: URL
Name: Nous-Hermes-2-Mixtral-8x7B-DPO.Q2\_K.gguf, Quant method: Q2\_K, Size: 16.12GB
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image-to-image | diffusers |
# Fake-QRcode ControlNet
These are ControlNet checkpoints trained on runwayml/stable-diffusion-v1-5 to generate recognizable AIGC QRcode image.
## Model Details
Details will be added soon...
## Use with diffusers
See the snippet below for usage with diffusers:
```python
import cv2
import numpy as np
import torch
i... | {"language": ["en"], "license": "apache-2.0", "library_name": "diffusers", "pipeline_tag": "image-to-image"} | ghoskno/Fake-QRcode | null | [
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|
# Fake-QRcode ControlNet
These are ControlNet checkpoints trained on runwayml/stable-diffusion-v1-5 to generate recognizable AIGC QRcode image.
## Model Details
Details will be added soon...
## Use with diffusers
See the snippet below for usage with diffusers:
## Some examples
input qrcode image
<img src="./URL... | [
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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?"}]}]} | HemaCh/gorillafinetunedv2 | null | [
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"autotrain",
"text-generation-inference",
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"license:other",
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"region:us"
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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] |
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. -->
# thirukural-engtranslation-m2m100-418M
This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebo... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/m2m100_418M", "widget": [{"text": "\u0b85\u0b95\u0bb0 \u0bae\u0bc1\u0ba4\u0bb2 \u0b8e\u0bb4\u0bc1\u0ba4\u0bcd\u0ba4\u0bc6\u0bb2\u0bcd\u0bb2\u0bbe\u0bae\u0bcd \u0b86\u0ba4\u0bbf \u0baa\u0b95\u0bb5\u0ba9\u0bcd \u0bae\u0bc1\u0ba4\u0bb1\u0bcd\u0... | udit-k/thirukural-engtranslation-m2m100-418M | null | [
"transformers",
"safetensors",
"m2m_100",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/m2m100_418M",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T07:19:06+00:00 | [] | [] | TAGS
#transformers #safetensors #m2m_100 #text2text-generation #generated_from_trainer #base_model-facebook/m2m100_418M #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# thirukural-engtranslation-m2m100-418M
This model is a fine-tuned version of facebook/m2m100_418M on Thirukural-EnglishMeaning dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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"## Intended uses & limitations\n\nMore information needed",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/ohn764u | null | [
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"text-generation",
"conversational",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T07:22:16+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text-to-image | diffusers |
# juggernautXL8 API Inference

## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "juggernautxl8"
Codin... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/juggernautxl8 | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-28T07:24:13+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# juggernautXL8 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "juggernautxl8"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: Vi... | [
"# juggernautXL8 API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"juggernautxl8\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate I... | [
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null | null | This is the model of [CCEdit](https://arxiv.org/pdf/2309.16496.pdf).
[Paper Link](https://arxiv.org/pdf/2309.16496.pdf)
[Project Page](https://ruoyufeng.github.io/CCEdit.github.io/)
| {} | RuoyuFeng/CCEdit | null | [
"arxiv:2309.16496",
"region:us"
] | null | 2024-04-28T07:25:36+00:00 | [
"2309.16496"
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#arxiv-2309.16496 #region-us
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Paper Link
Project Page
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tulu2-13b-cost-UI-both-5e-6
This model is a fine-tuned version of [allenai/tulu-2-13b](https://huggingface.co/allenai/tulu-2-13b... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-13b", "model-index": [{"name": "tulu2-13b-cost-UI-both-5e-6", "results": []}]} | just1nseo/tulu2-13b-cost-UI-both-5e-6 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:allenai/tulu-2-13b",
"region:us"
] | null | 2024-04-28T07:26:23+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-allenai/tulu-2-13b #region-us
| tulu2-13b-cost-UI-both-5e-6
===========================
This model is a fine-tuned version of allenai/tulu-2-13b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6848
* Rewards/chosen: -0.1262
* Rewards/rejected: -0.1432
* Rewards/accuracies: 0.5357
* Rewards/margins: 0.0171
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/4ukfm1o | null | [
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"text-generation",
"conversational",
"arxiv: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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- Funded by [optional]:
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- License... | [
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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. -->
# 0.001_3iters_bs256_nodpo_only4w_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_3iters_bs256_nodpo_only4w_iter_1... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_3iters_bs256_nodpo_only4w_iter_1", "model-index": [{"name": "0.001_3iters_bs256_nodpo_only4w_iter_2", "results": []}]} | ShenaoZhang/0.001_3iters_bs256_nodpo_only4w_iter_2 | null | [
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# 0.001_3iters_bs256_nodpo_only4w_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_3iters_bs256_nodpo_only4w_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# docvqa_idefics_wo_img_splitting
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/Hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "docvqa_idefics_wo_img_splitting", "results": []}]} | guntinik/docvqa_idefics_wo_img_splitting | null | [
"safetensors",
"generated_from_trainer",
"base_model:HuggingFaceM4/idefics2-8b",
"license:apache-2.0",
"region:us"
] | null | 2024-04-28T07:28:23+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics2-8b #license-apache-2.0 #region-us
|
# docvqa_idefics_wo_img_splitting
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
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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 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#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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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | joacorf33/xlm-roberta-base-finetuned-panx-fr | null | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T07:32:18+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2714
* F1: 0.8431
Model description
-----------------
More information needed
Intended uses & l... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [nlpai-lab/KULLM3](https://huggingface.co/nlpai-lab/KULLM3) on an unknown dataset.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "nlpai-lab/KULLM3", "model-index": [{"name": "results", "results": []}]} | uine/multi-practice-fine-tuning-kullm-adapter | null | [
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# results
This model is a fine-tuned version of nlpai-lab/KULLM3 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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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": []} | sachin/debug-clip-model | null | [
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translation | transformers |
# Model Description
This model, named **traintogpb-ke-t5-base-aihub-koen-translation-integrated-10m-en-to-ko**, is a machine translation model that translates English to Korean. It is fine-tuned from the [KETI-AIR/ke-t5-base](https://huggingface.co/KETI-AIR/ke-t5-base) model using the [aihub-koen-translation-integr... | {"language": ["en", "ko"], "license": "apache-2.0", "library_name": "transformers", "tags": ["translation", "t5", "en-to-ko"], "datasets": ["aihub-koen-translation-integrated-base-10m"], "metrics": ["bleu"], "model-index": [{"name": "traintogpb-ke-t5-base-aihub-koen-translation-integrated-10m-en-to-ko", "results": [{"t... | seongs/ke-t5-base-aihub-koen-translation-integrated-10m-en-to-ko | null | [
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|
# Model Description
This model, named traintogpb-ke-t5-base-aihub-koen-translation-integrated-10m-en-to-ko, is a machine translation model that translates English to Korean. It is fine-tuned from the KETI-AIR/ke-t5-base model using the aihub-koen-translation-integrated-base-10m dataset.
## Model Architecture
The... | [
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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-common-voice-17_0_vi
This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggi... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_17_0"], "metrics": ["wer"], "base_model": "nguyenvulebinh/wav2vec2-base-vietnamese-250h", "model-index": [{"name": "wav2vec2-common-voice-17_0_vi", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic ... | Lasion/wav2vec2-common-voice-17_0_vi | null | [
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| wav2vec2-common-voice-17\_0\_vi
===============================
This model is a fine-tuned version of nguyenvulebinh/wav2vec2-base-vietnamese-250h on the common\_voice\_17\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7992
* Wer: 0.4349
Model description
-----------------
More i... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### 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": []} | tomaszki/llama-11 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
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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": []} | StefanG2002/gemma-1.1-2b-it-cli-1 | null | [
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text-to-image | diffusers |
# EcomXL
EcomXL is a series of text-to-image diffusion models optimized for e-commerce scenarios, developed based on [Stable Diffusion XL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0).
## ControlNets
ControlNet is a neural network structure to control diffusion models by adding extra conditions. ... | {"language": ["en"], "license": "apache-2.0", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "controlnet"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "inference": false, "pipeline_tag": "text-to-image"} | alimama-creative/EcomXL | null | [
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#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #controlnet #en #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-apache-2.0 #region-us
| EcomXL
======
EcomXL is a series of text-to-image diffusion models optimized for e-commerce scenarios, developed based on Stable Diffusion XL.
ControlNets
-----------
ControlNet is a neural network structure to control diffusion models by adding extra conditions. For e-commerce scenarios, we trained multiple Cont... | [
"### Inpainting ControlNet\n\n\nUnlike other inpainting models, such as lllyasviel/control\\_v11p\\_sd15\\_inpaint, this model is fine-tuned with instance masks to prevent foreground outpainting.",
"#### Examples\n\n\n\nUsing this ControlNet with a control weight of 0.5 may achieve better results.",
"#### Train... | [
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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. -->
# bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "bart-base", "results": []}]} | cbjun99/bart-base | null | [
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"generated_from_trainer",
"base_model:facebook/bart-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-28T07:54:25+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bart-base
=========
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5993
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 12\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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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/pp8c3c5 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-28T07:55:59+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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":... | Epoching/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-28T08:01:37+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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text-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. -->
# Disaster_tweets_combined
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "Disaster_tweets_combined", "results": []}]} | picaba/Disaster_tweets_combined | null | [
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"distilbert",
"text-classification",
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"license:apache-2.0",
"autotrain_compatible",
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|
# Disaster_tweets_combined
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5763
- Accuracy: 0.8339
- F1: 0.7941
## Model description
More information needed
## Intended uses & limitations
More information neede... | [
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"## Intended uses & limitations\n\nMo... | [
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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. -->
# plm-nsp-1000000
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "plm-nsp-1000000", "results": []}]} | mhr2004/plm-nsp-1000000 | null | [
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"text-classification",
"generated_from_trainer",
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"license:mit",
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"region:us"
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#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| plm-nsp-1000000
===============
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1079
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 1024\n* eval\\_batch\\_size: 1024\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
"### T... | [
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text-generation | transformers |
## base model :
- meta-llama/Meta-Llama-3-8B
## dataset :
- ayoubkirouane/Small-Instruct-Alpaca_Format | {"language": ["en"], "library_name": "transformers", "tags": ["unsloth", "trl", "sft"], "datasets": ["ayoubkirouane/Small-Instruct-Alpaca_Format"]} | ayoubkirouane/llama3_8b_alpaca | null | [
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"text-generation",
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"autotrain_compatible",
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"text-generation-inference",
"region:us"
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"en"
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|
## base model :
- meta-llama/Meta-Llama-3-8B
## dataset :
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | tomaszki/llama-11-a | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | zrowt/Sample-Test | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | null |
# DavidAU/Llama-3-8B-Instruct-262k-Q8_0-GGUF
This model was converted to GGUF format from [`gradientai/Llama-3-8B-Instruct-262k`](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origin... | {"language": ["en"], "license": "llama3", "tags": ["meta", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/Llama-3-8B-Instruct-262k-Q8_0-GGUF | null | [
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#gguf #meta #llama-3 #llama-cpp #gguf-my-repo #text-generation #en #license-llama3 #region-us
|
# DavidAU/Llama-3-8B-Instruct-262k-Q8_0-GGUF
This model was converted to GGUF format from 'gradientai/Llama-3-8B-Instruct-262k' 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)
Nous-Hermes-2-Mistral-7B-DPO - GGUF
- Model creator: https://huggingface.co/NousResearch/
- Original model: https://huggingf... | {} | RichardErkhov/NousResearch_-_Nous-Hermes-2-Mistral-7B-DPO-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-28T08:12:59+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
Nous-Hermes-2-Mistral-7B-DPO - GGUF
* Model creator: URL
* Original model: URL
Name: Nous-Hermes-2-Mistral-7B-DPO.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: Nous-Hermes-2-Mistral-7B-DPO.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size... | [
"### Describing Weather Patterns in Paris:\n\n\n!image/png",
"### Making JSON Nested Lists\n\n\n!image/png",
"### Roleplaying as a Toaist Master\n\n\n!image/png\n\n\nBenchmark Results\n-----------------\n\n\nNous-Hermes 2 DPO on Mistral 7B is an improvement across the board on the benchmarks below compared to t... | [
"TAGS\n#gguf #region-us \n",
"### Describing Weather Patterns in Paris:\n\n\n!image/png",
"### Making JSON Nested Lists\n\n\n!image/png",
"### Roleplaying as a Toaist Master\n\n\n!image/png\n\n\nBenchmark Results\n-----------------\n\n\nNous-Hermes 2 DPO on Mistral 7B is an improvement across the board on the... | [
9,
14,
14,
584
] | [
"TAGS\n#gguf #region-us \n### Describing Weather Patterns in Paris:\n\n\n!image/png### Making JSON Nested Lists\n\n\n!image/png### Roleplaying as a Toaist Master\n\n\n!image/png\n\n\nBenchmark Results\n-----------------\n\n\nNous-Hermes 2 DPO on Mistral 7B is an improvement across the board on the benchmarks below ... |
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