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MedQwen3 1.7B CPT 0617 by codin-research

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MedQwen3 1.7B CPT 0617 is an open-source language model by codin-research. Features: 1.7b LLM, VRAM: 6.9GB, Context: 32K, License: mit, LLM Explorer Score: 0.19.

  Arxiv:1910.09700 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b-bas...   Endpoints compatible   Medical   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Vi
Model Card on HF 🤗: https://huggingface.co/codin-research/MedQwen3-1.7B-CPT-0617 

MedQwen3 1.7B CPT 0617 Benchmarks

LLME Score: 0.19391
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MedQwen3 1.7B CPT 0617 (codin-research/MedQwen3-1.7B-CPT-0617)
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MedQwen3 1.7B CPT 0617 Parameters and Internals

LLM NameMedQwen3 1.7B CPT 0617
Repository 🤗https://huggingface.co/codin-research/MedQwen3-1.7B-CPT-0617 
Base Model(s)  Qwen/Qwen3-1.7B-Base   Qwen/Qwen3-1.7B-Base
Model Size1.7b
Required VRAM6.9 GB
Updated2026-03-06
Maintainercodin-research
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   1.9 GB: 2-of-2
Supported Languagesvi
Model ArchitectureQwen3ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.52.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than codin-research/MedQwen3-1.7B-CPT-0617.

Rank the MedQwen3 1.7B CPT 0617 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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