Standardized benchmark and leaderboard for Clinical Named Entity Recognition
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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 • 23 -
Med42-v2: A Suite of Clinical LLMs
Paper • 2408.06142 • Published • 52 -
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 • 2.14k • • 65
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 • 23 -
Med42-v2: A Suite of Clinical LLMs
Paper • 2408.06142 • Published • 52 -
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 • 2.14k • • 65
models
7
m42-health/gfm-mistral-base-500m
Updated
•
10
m42-health/CXformer-small
Image Feature Extraction
•
22.1M
•
Updated
•
3
•
2
m42-health/CXformer-base
Image Feature Extraction
•
86.6M
•
Updated
•
54
•
1
m42-health/BioFM-265M
0.3B
•
Updated
•
73
•
11
m42-health/Llama3-Med42-8B
Text Generation
•
8B
•
Updated
•
1.37k
•
•
74
m42-health/Llama3-Med42-70B
Text Generation
•
71B
•
Updated
•
2.14k
•
•
65
m42-health/med42-70b
Text Generation
•
Updated
•
13
•
184
datasets
5
m42-health/HC4
Viewer
•
Updated
•
9.77M
•
636
•
4
m42-health/variant-benchmark
Viewer
•
Updated
•
1.88M
•
16
•
2
m42-health/ancestry_dataset
Viewer
•
Updated
•
70.4k
•
11
m42-health/biotypes
Viewer
•
Updated
•
19.6k
•
14
•
1
m42-health/tp53
Viewer
•
Updated
•
1.23k
•
12