Standardized benchmark and leaderboard for Clinical Named Entity Recognition
AI & ML interests
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Organization Card
M42 Health
Welcome to the official Hugging Face organization for foundation models by M42 Health. M42 is a global, tech-enabled healthcare company based in Abu Dhabi, UAE.
Model Index
| Model | Size | Description | Link |
|---|---|---|---|
| CXformer | 22M/87M | Chest X-Ray foundation models trained with efficient traning framework | small, base |
| BioFM-265M | 265M | Biologically informed genomic foundation model | link |
| Med42-v2-70B | 70B | Instruction-tuned and clinically aligned model to suit healthcare preferences | link |
| Med42-v2-8B | 8B | Instruction-tuned and clinically aligned model to suit healthcare preferences | link |
| Med42-70B | 70B | Instruction-tuned on open datasets including medical flashcards, medical questions, and open-domain dialogues | link |
Copyright 2025 M42.
SoTA clinical LLMs and the techniques to build them.
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Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
Paper • 2409.14988 • Published • 24 -
Med42-v2: A Suite of Clinical LLMs
Paper • 2408.06142 • Published • 53 -
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches
Paper • 2404.14779 • Published • 1 -
m42-health/Llama3-Med42-70B
Text Generation • 71B • Updated • 22.5k • • 51
Standardized benchmark and leaderboard for Clinical Named Entity Recognition
SoTA clinical LLMs and the techniques to build them.
-
Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
Paper • 2409.14988 • Published • 24 -
Med42-v2: A Suite of Clinical LLMs
Paper • 2408.06142 • Published • 53 -
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches
Paper • 2404.14779 • Published • 1 -
m42-health/Llama3-Med42-70B
Text Generation • 71B • Updated • 22.5k • • 51
models
6
m42-health/CXformer-small
Image Feature Extraction
•
0.0B
•
Updated
•
36
•
2
m42-health/CXformer-base
Image Feature Extraction
•
0.1B
•
Updated
•
95
•
1
m42-health/BioFM-265M
0.3B
•
Updated
•
46
•
8
m42-health/Llama3-Med42-8B
Text Generation
•
8B
•
Updated
•
4.06k
•
•
66
m42-health/Llama3-Med42-70B
Text Generation
•
71B
•
Updated
•
22.5k
•
•
51
m42-health/med42-70b
Text Generation
•
Updated
•
42
•
181