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II Medical 7B Preview by Intelligent-Internet

 »  All LLMs  »  Intelligent-Internet  »  II Medical 7B Preview   URL Share it on

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II Medical 7B Preview is an open-source language model by Intelligent-Internet. Features: 7b LLM, VRAM: 30.5GB, Context: 32K, LLM Explorer Score: 0.2.

  Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Intelligent-Internet/II-Medical-7B-Preview 

II Medical 7B Preview Benchmarks

LLME Score: 0.19566
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
II Medical 7B Preview (Intelligent-Internet/II-Medical-7B-Preview)
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II Medical 7B Preview Parameters and Internals

LLM NameII Medical 7B Preview
Repository 🤗https://huggingface.co/Intelligent-Internet/II-Medical-7B-Preview 
Model Size7b
Required VRAM30.5 GB
Updated2026-04-09
MaintainerIntelligent-Internet
Model Typeqwen2
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   5.0 GB: 5-of-7   3.7 GB: 6-of-7   2.2 GB: 7-of-7
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

Best Alternatives to II Medical 7B Preview

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Preview986K / 15.2 GB50
Qwen2.5 7B Instruct 1M986K / 15.4 GB101142362
Hush Qwen2.5 7B V1.2986K / 15.2 GB31
Hush Qwen2.5 7B V1.1986K / 15.2 GB61
Hush Qwen2.5 7B V1.4986K / 15.2 GB41
Hush Qwen2.5 7B Preview986K / 15.2 GB50
Hush Qwen2.5 7B V1.3986K / 15.2 GB42
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB42
Qwen 2.5 7B Exp Sce986K / 15.2 GB42
Qwen2.5 7B MixStock V0.1986K / 15.2 GB73
Note: green Score (e.g. "73.2") means that the model is better than Intelligent-Internet/II-Medical-7B-Preview.

Rank the II Medical 7B Preview 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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