RTX a6000 ( 1x ) Collection Models that run well on the RTX a6000's 48gb of VRAM. For models spanning 2x cards with Nvlink, see other collection. • 1 item • Updated 1 day ago • 1
Small Models ( 8B max ) GTX 1660 Super Collection Must run at Quant 4 or higher, 15tps or higher. Full Precision vs Quant not benchmarked. • 3 items • Updated 4 days ago • 1
Small Models ( 8B max ) GTX 1660 Super Collection Must run at Quant 4 or higher, 15tps or higher. Full Precision vs Quant not benchmarked. • 3 items • Updated 4 days ago • 1
Small Models ( 8B max ) GTX 1660 Super Collection Must run at Quant 4 or higher, 15tps or higher. Full Precision vs Quant not benchmarked. • 3 items • Updated 4 days ago • 1
Image Generation Stack Collection The stuff we actually use, pruned on an ongoing basis. • 0 items • Updated 7 days ago • 1
RTX a6000 ( 1x ) Collection Models that run well on the RTX a6000's 48gb of VRAM. For models spanning 2x cards with Nvlink, see other collection. • 1 item • Updated 1 day ago • 1
Small Models ( 8B max ) GTX 1660 Super Collection Must run at Quant 4 or higher, 15tps or higher. Full Precision vs Quant not benchmarked. • 3 items • Updated 4 days ago • 1
view post Post 2756 🎉 OpenMed 2025 Year in Review: 6 Months of Open Medical AII'm thrilled to share what the OpenMed community has accomplished since our July 2025 launch!📊 The Numbers29,700,000 downloads Thank you! 🙏- 481 total models (475 medical NER models + 6 fine-tuned LLMs)- 475 medical NER models in [OpenMed]( OpenMed ) organization- 6 fine-tuned LLMs in [openmed-community]( openmed-community )- 551,800 PyPI downloads of the [openmed package](https://pypi.org/project/openmed/)- 707 followers on HuggingFace (you!)- 97 GitHub stars on the [toolkit repo](https://github.com/maziyarpanahi/openmed)🏆 Top Models by Downloads1. [OpenMed-NER-PharmaDetect-SuperClinical-434M]( OpenMed/OpenMed-NER-PharmaDetect-SuperClinical-434M) — 147,305 downloads2. [OpenMed-NER-ChemicalDetect-ElectraMed-33M]( OpenMed/OpenMed-NER-ChemicalDetect-ElectraMed-33M) — 126,785 downloads3. [OpenMed-NER-BloodCancerDetect-TinyMed-65M]( OpenMed/OpenMed-NER-BloodCancerDetect-TinyMed-65M) — 126,465 downloads🔬 Model CategoriesOur 481 models cover comprehensive medical domains:- Disease Detection (~50 variants)- Pharmaceutical Detection (~50 variants)- Oncology Detection (~50 variants)- Genomics/DNA Detection (~80 variants)- Chemical Detection (~50 variants)- Species/Organism Detection (~60 variants)- Protein Detection (~50 variants)- Pathology Detection (~50 variants)- Blood Cancer Detection (~30 variants)- Anatomy Detection (~40 variants)- Zero-Shot NER (GLiNER-based) OpenMed OpenMed NER: Open-Source, Domain-Adapted State-of-the-Art Transformers for Biomedical NER Across 12 Public Datasets (2508.01630)https://huggingface.co/collections/OpenMed/medical-and-clinical-nerhttps://huggingface.co/collections/OpenMed/zeroshot-medical-and-clinical-ner OpenMed/Medical-Reasoning-SFT-GPT-OSS-120B See translation 1 reply · ❤️ 7 7 🚀 2 2 + Reply