Aligner Med by clinic-research

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Aligner Med is an open-source language model by clinic-research. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, LLM Explorer Score: 0.14.

  Arxiv:2402.02416   Aligner   Clinic   Deploy:azure   En   Endpoints compatible   Gemma   Medical   Region:us   Safetensors   Sharded   Tensorflow

Aligner Med Benchmarks

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

Aligner Med Parameters and Internals

LLM NameAligner Med
Repository 🤗https://huggingface.co/clinic-research/Aligner-Med 
Model Size2b
Required VRAM5.1 GB
Updated2026-05-23
Maintainerclinic-research
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.43.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than clinic-research/Aligner-Med.

Rank the Aligner Med 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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Release v20260328a