Medfalcon V2 40B Lora by nmitchko

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  Arxiv:2106.09685   Adapter Base model:adapter:tiiuae/falc...   Base model:tiiuae/falcon-40b   En   Finetuned   Lora   Medical   Peft   Region:us

Medfalcon V2 40B Lora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Medfalcon V2 40B Lora (nmitchko/medfalcon-v2-40b-lora)
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Medfalcon V2 40B Lora Parameters and Internals

Model Type 
LoRA, language model, text generation
Use Cases 
Areas:
medical domain tasks
Primary Use Cases:
question-answering, medical dialogue tasks
Limitations:
Do not use to treat patients! Treat AI content as if you wrote it!!!
Additional Notes 
Supports 4-bit and 8-bit modes.
Training Details 
Data Sources:
medconcat dataset
Data Volume:
100 MiB of raw text
Methodology:
LoRA, specifically QLora
Model Architecture:
LoRA applied to Falcon-40b for medical domain tasks
LLM NameMedfalcon V2 40B Lora
Repository ๐Ÿค—https://huggingface.co/nmitchko/medfalcon-v2-40b-lora 
Base Model(s)  Falcon 40B   tiiuae/falcon-40b
Model Size40b
Required VRAM0.9 GB
Updated2025-08-24
Maintainernmitchko
Model Files  0.9 GB
Supported Languagesen
Model ArchitectureAdapter
Licensecc-by-nc-4.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdense|query_key_value|dense_h_to_4h|dense_4h_to_h
LoRA Alpha16
LoRA Dropout0.05
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than nmitchko/medfalcon-v2-40b-lora.

Rank the Medfalcon V2 40B Lora 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124