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Qwen2 7B Instruction Extraction by neonicholasi

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama-factory   Medical   Pytorch   Qwen2   Region:us   Sharded   Zh
Model Card on HF 🤗: https://huggingface.co/neonicholasi/Qwen2-7B-Instruction-extraction 

Qwen2 7B Instruction Extraction Benchmarks

LLME Score: 0.17875
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Instruction Extraction (neonicholasi/Qwen2-7B-Instruction-extraction)

Qwen2 7B Instruction Extraction Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
medical
Supported Languages 
zh (full)
LLM NameQwen2 7B Instruction Extraction
Repository 🤗https://huggingface.co/neonicholasi/Qwen2-7B-Instruction-extraction 
Model Size7b
Required VRAM15.5 GB
Updated2025-06-01
Maintainerneonicholasi
Model Typeqwen2
Instruction-BasedYes
Model Files  1.9 GB: 1-of-9   1.9 GB: 2-of-9   1.9 GB: 3-of-9   1.9 GB: 4-of-9   1.9 GB: 5-of-9   1.9 GB: 6-of-9   1.9 GB: 7-of-9   1.1 GB: 8-of-9   1.1 GB: 9-of-9
Supported Languageszh
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2 7B Instruction Extraction

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB2113335328
Qwen2.5 7B RRP 1M986K / 15.2 GB2216
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB422
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB137
Q2.5 Instruct 1M Harmony986K / 15.2 GB192
Impish QWEN 7B 1M986K / 15.2 GB244
COCO 7B Instruct 1M986K / 15.2 GB114
Apollo 7B986K / 15.2 GB100
Qwen2.5 7B Instruct 1M986K / 15.2 GB8602
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB110
Note: green Score (e.g. "73.2") means that the model is better than neonicholasi/Qwen2-7B-Instruction-extraction.

Rank the Qwen2 7B Instruction Extraction 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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Release v20241227
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