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Clinical Understanding Model V2.1 by CodCodingCode

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Clinical Understanding Model V2.1 is an open-source language model by CodCodingCode. Features: 8.2b LLM, VRAM: 16.4GB, Context: 128K, LLM Explorer Score: 0.2.

  Qwen3   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow
Model Card on HF 🤗: https://huggingface.co/CodCodingCode/clinical_understanding_model-V2.1 

Clinical Understanding Model V2.1 Benchmarks

LLME Score: 0.20137
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Clinical Understanding Model V2.1 (CodCodingCode/clinical_understanding_model-V2.1)
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Clinical Understanding Model V2.1 Parameters and Internals

LLM NameClinical Understanding Model V2.1
Repository 🤗https://huggingface.co/CodCodingCode/clinical_understanding_model-V2.1 
Model Size8.2b
Required VRAM16.4 GB
Updated2025-09-19
MaintainerCodCodingCode
Model Typeqwen3
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.6 GB: 4-of-4   0.0 GB
Model ArchitectureQwen3ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.53.1
Tokenizer ClassLlamaTokenizerFast
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size151936
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than CodCodingCode/clinical_understanding_model-V2.1.

Rank the Clinical Understanding Model V2.1 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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