Models
A medical specialisation of EuroLLM-9B-Instruct, fine-tuned on the Fully Open Meditron corpus (about 601k clinician-vetted medical QA and clinical-vignette…
A medical specialisation of EuroLLM-22B-Instruct, fine-tuned on the Fully Open Meditron corpus (about 601k clinician-vetted medical QA and clinical-vignette…
A medical specialisation of OLMo-2-32B, fine-tuned on the Fully Open Meditron corpus (about 601k clinician-vetted medical QA and clinical-vignette examples)…
A medical specialisation of Apertus-8B-Instruct, fine-tuned on the Fully Open Meditron corpus (about 601k clinician-vetted medical QA and clinical-vignette…
A medical specialisation of Apertus-70B-Instruct, fine-tuned on the Fully Open Meditron corpus (about 601k clinician-vetted medical QA and clinical-vignette…
Baichuan-M3 is a clinical large language model from Baichuan Inc., a 235B mixture-of-experts model built on Qwen3-235B-A22B.
Intern-S2-Preview-397B is the largest Intern-S2 preview from Shanghai AI Laboratory (InternLM): a 397B multimodal model for scientific reasoning and…
Intern-S2-Preview is a 35B multimodal scientific foundation model from Shanghai AI Laboratory (InternLM), trained on hundreds of professional scientific tasks…
Intern-S1-Pro is a trillion-parameter mixture-of-experts multimodal scientific reasoning model from Shanghai AI Laboratory (InternLM): 1T parameters in 512…
Intern-S1-mini is the lightweight Intern-S1 from Shanghai AI Laboratory (InternLM): an 8B Qwen3 language model with a 0.3B InternViT vision encoder, further…
Intern-S1 is an open multimodal scientific reasoning model from Shanghai AI Laboratory (InternLM): a Qwen3-235B mixture-of-experts language model with a 6B…
Geneformer Geneformer is a foundational transformer model pretrained on a large-scale corpus of human single cell transcriptomes to enable context-aware…
Model description - Intended uses and limitations - How to use - Limitations and bias - Training - Tokenization and model pretraining - Training corpora and…
This is a PubMedBERT-base model fined-tuned using sentence-transformers.
SapBERT-PubMedBERT SapBERT by Liu et al.
Model description - Intended uses and limitations - How to use - Training - Evaluation - Additional information - Author - Licensing information - Citation…
About the Model An English Named Entity Recognition model, trained on Maccrobat to recognize the bio-medical entities (107 entities) from a given text corpus…