MedQwen3B Reasoner by hooman650

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MedQwen3B Reasoner is an open-source language model by hooman650. Features: 3b LLM, VRAM: 6.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

  4bit   Conversational   Dataset:openai/gsm8k   Dataset:qiaojin/pubmedqa Dataset:yesilhealth/health ben...   Deploy:azure   Doi:10.57967/hf/4415   En   Endpoints compatible   Gguf   Grpo   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

MedQwen3B Reasoner Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MedQwen3B Reasoner Parameters and Internals

LLM NameMedQwen3B Reasoner
Repository 🤗https://huggingface.co/hooman650/MedQwen3B-Reasoner 
Base Model(s)  unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit   unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit
Model Size3b
Required VRAM6.2 GB
Updated2026-04-21
Maintainerhooman650
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2   6.2 GB   1.9 GB   2.2 GB   3.3 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length32768
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than hooman650/MedQwen3B-Reasoner.

Rank the MedQwen3B Reasoner Capabilities

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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 v20260328a