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Qwen2 7B Cleanup by sakusakumura

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  Autotrain compatible Base model:finetune:unsloth/qw...   Base model:unsloth/qwen2-7b   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/sakusakumura/Qwen2-7b-cleanup 

Qwen2 7B Cleanup Benchmarks

LLME Score: 0.19169
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Cleanup (sakusakumura/Qwen2-7b-cleanup)

Qwen2 7B Cleanup Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, qwen2, trl, sft
Additional Notes 
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (High)
Training Details 
Methodology:
2x faster with Unsloth
Input Output 
Input Format:
taskタグにおいて提供された文章が、次に示す条件にあてはまる文章かどうかを判断し、文章の品質を「低品質」または「高品質」で答えてください。 条件： 1. 繰り返しの無い文章であること。 2. 文法的に誤りの多い文章 3. 意味の通らない、または支離滅裂な文章 4. 差別的表現、暴力的表現、わいせつな内容 {target text}
Accepted Modalities:
text
Output Format:
低品質 / 高品質
LLM NameQwen2 7B Cleanup
Repository 🤗https://huggingface.co/sakusakumura/Qwen2-7b-cleanup 
Base Model(s)  Qwen2 7B   unsloth/Qwen2-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-02-22
Maintainersakusakumura
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than sakusakumura/Qwen2-7b-cleanup.

Rank the Qwen2 7B Cleanup Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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