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QwQ Med 3 by yuvalkansal

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QwQ Med 3 is an open-source language model by yuvalkansal. Features: 32.8b LLM, VRAM: 131.5GB, Context: 40K, LLM Explorer Score: 0.24.

  Arxiv:2507.13966   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yuvalkansal/QwQ-Med-3 

QwQ Med 3 Benchmarks

LLME Score: 0.24075
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwQ Med 3 (yuvalkansal/QwQ-Med-3)
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QwQ Med 3 Parameters and Internals

LLM NameQwQ Med 3
Repository 🤗https://huggingface.co/yuvalkansal/QwQ-Med-3 
Model Size32.8b
Required VRAM131.5 GB
Updated2026-07-06
Maintaineryuvalkansal
Model Typeqwen2
Model Files  4.5 GB: 1-of-29   4.7 GB: 2-of-29   4.5 GB: 3-of-29   4.5 GB: 4-of-29   4.7 GB: 5-of-29   4.5 GB: 6-of-29   4.5 GB: 7-of-29   4.7 GB: 8-of-29   4.5 GB: 9-of-29   4.5 GB: 10-of-29   4.7 GB: 11-of-29   4.5 GB: 12-of-29   4.5 GB: 13-of-29   4.7 GB: 14-of-29   4.5 GB: 15-of-29   4.5 GB: 16-of-29   4.7 GB: 17-of-29   4.5 GB: 18-of-29   4.5 GB: 19-of-29   4.7 GB: 20-of-29   4.5 GB: 21-of-29   4.5 GB: 22-of-29   4.7 GB: 23-of-29   4.5 GB: 24-of-29   4.5 GB: 25-of-29   4.7 GB: 26-of-29   4.5 GB: 27-of-29   4.5 GB: 28-of-29   3.7 GB: 29-of-29
Model ArchitectureQwen2ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version4.50.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|fim_pad|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

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...ppy Roleplay 1739875662 17287632K / 65.8 GB50
Note: green Score (e.g. "73.2") means that the model is better than yuvalkansal/QwQ-Med-3.

Rank the QwQ Med 3 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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