Brian Kim

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liked a model about 17 hours ago

microsoft/rad-dino

Image Feature Extraction • 86.6M • Updated May 12 • 120k • 82

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nvidia/personaplex-7b-v1

Audio-to-Audio • 8B • Updated Mar 2 • 339k • • 2.6k

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ibrahimhamamci/CT-RATE

Preview • Updated Mar 16 • 103k • 265

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nvidia/NV-Segment-CT

Image Segmentation • Updated Apr 1 • 6.59k • 23

nvidia/NV-Segment-CTMR

Updated Mar 31 • 5.59k • 17

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Alibaba-NLP/gte-reranker-modernbert-base

Text Ranking • 0.1B • Updated Jul 4, 2025 • 2.9M • 95

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openai/privacy-filter

Token Classification • 1B • Updated Apr 22 • 382k • • 1.7k

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chenxz/RareBench

Updated Dec 12, 2024 • 856 • 12

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microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL

Feature Extraction • Updated May 25, 2022 • 797 • 34

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chufangao/CTO

Viewer • Updated Oct 27, 2025 • 364k • 390 • 9

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mlx-community/GLM-OCR-bf16

Image-to-Text • 1B • Updated Feb 4 • 2.42k • 29

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nvidia/Nemotron-PII

Viewer • Updated Dec 17, 2025 • 200k • 2.9k • 104

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unsloth/rnj-1-instruct-GGUF

8B • Updated Jan 1 • 805 • 10

zai-org/GLM-OCR

Image-Text-to-Text • 1B • Updated May 19 • 3.12M • • 1.92k

upvoted 2 collections 5 months ago

Multilingual PII & De-Identification

Collection

Multilingual models for extracting PII entities and de-identifying clinical text, with support for HIPAA and GDPR compliance. • 333 items • Updated 22 days ago • 24

Medical Datasets

Collection

15 items • Updated 22 days ago • 48

reacted to MaziyarPanahi's post with 🔥 5 months ago

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Post

4141

🚨 Day 8/8: OpenMed Medical Reasoning Dataset Release - THE GRAND FINALE

Today I complete my 8-day release series with Medical-Reasoning-SFT-Mega.
The largest open medical reasoning dataset, combining 7 state-of-the-art AI models with fair distribution deduplication.

THE 7 SOURCE MODELS (Original Sample Counts):

1. Trinity-Mini: 810,284 samples
2. Qwen3-Next-80B: 604,249 samples
3. GPT-OSS-120B: 506,150 samples
4. Nemotron-Nano-30B: 444,544 samples
5. GLM-4.5-Air: 225,179 samples
6. MiniMax-M2.1: 204,773 samples
7. Baichuan-M3-235B: 124,520 samples

TOTAL BEFORE DEDUPLICATION: 2,919,699 samples

TOKEN COUNTS:
- Content tokens: 2.22 Billion
- Reasoning tokens: 1.56 Billion
- Total tokens: 3.78 Billion
- Samples with chain-of-thought: 100%

Quick Start:

from datasets import load_dataset
ds = load_dataset("OpenMed/Medical-Reasoning-SFT-Mega")

All datasets Apache 2.0 licensed. Free for research and commercial use.

Thank you for following OpenMed's release series. I can't wait to see what you build. 🔥

OpenMed/Medical-Reasoning-SFT-Mega
OpenMed/Medical-Reasoning-SFT-GPT-OSS-120B-V2
OpenMed/Medical-Reasoning-SFT-Trinity-Mini
OpenMed/Medical-Reasoning-SFT-GLM_4.5_Air
OpenMed/Medical-Reasoning-SFT-MiniMax-M2.1
OpenMed/Medical-Reasoning-SFT-Qwen3-Next-80B
OpenMed/Medical-Reasoning-SFT-Nemotron-Nano-30B
OpenMed/Medical-Reasoning-SFT-Baichuan-M3-235B



https://huggingface.co/collections/OpenMed/medical-datasets

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liked 2 models 5 months ago

mlx-community/Qwen3-Coder-Next-4bit

Text Generation • Updated Feb 7 • 6.85k • 28

stepfun-ai/Step-3.5-Flash

Text Generation • 199B • Updated Mar 17 • 146k • • 827

upvoted an article 5 months ago

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Article

Open Responses: What you need to know

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evalstate, burtenshaw, merve, pcuenq

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Jan 15

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