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MaziyarPanahi
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AI & ML interests

Post-Training, RLHF, RL, model merging, quantization, synthetic datasets, AI in Health

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replied to ZennyKenny's post about 21 hours ago
🫠 Brutal! Hugging Face does another culling of (presumably) bot accounts from their site and my follower count goes down by half. 💀 TFW my content and models only appeal to bots. Who’s got the current best AI girlfriend app guys?
replied to their post about 21 hours ago
🚨 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. 🔥 https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-GPT-OSS-120B-V2 https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Trinity-Mini https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-GLM_4.5_Air https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-MiniMax-M2.1 https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Qwen3-Next-80B https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Nemotron-Nano-30B https://huggingface.co/datasets/OpenMed/Medical-Reasonin https://huggingface.co/collections/OpenMed/medical-datasets
posted an update about 21 hours ago
🚨 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. 🔥 https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Mega https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-GPT-OSS-120B-V2 https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Trinity-Mini https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-GLM_4.5_Air https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-MiniMax-M2.1 https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Qwen3-Next-80B https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Nemotron-Nano-30B https://huggingface.co/datasets/OpenMed/Medical-Reasonin https://huggingface.co/collections/OpenMed/medical-datasets
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