Michael Han

Founder

San Francisco, California, United States

About

Founder of Unsloth AI, which develops open-source software for efficient machine learning model training and optimization.

LinkedIn ↗X / Twitter ↗

Latest on 𝕏

Unsloth AI @unslothai

Smaller DeepSeek-V4-Flash quants are now available to run from 1-bit to 4-bit. Run 3-bit on 128GB RAM, 1-bit on 96GB RAM. Remember full precision is mostly FP4 (4-bit) so 1 to 3-bit are not that quantized. Even more variants are coming soon: https://t.co/ac6uOI8mZA

Jul 31, 2026 · ♥ 190 · ⇄ 29

Unsloth AI @unslothai

DeepSeek V4 Flash 0731 can now be run locally! 🐳 Run DeepSeek V4 Flash lossless 4-bit on 168GB RAM and 3-bit on 110GB RAM. V4 Flash 0731 outperforms V4 Pro. Run via Unsloth or llama.cpp. Smaller quants coming today. Guide: https://t.co/mCZZkpa95X GGUF: https://t.co/ac6uOI8mZA https://t.co/7Zl6jgfPTN https://t.co/CUeKgkdZUQ

Jul 31, 2026 · ♥ 3598 · ⇄ 448

Unsloth AI @unslothai

You can now run Inkling-Small, a new 276B model by Thinking Machines. Inkling-Small is the strongest open model for its size and runs local on 128GB RAM. Apache-2.0 Licensed, it has image, audio + 1M context support. Guide: https://t.co/mwyyMtrtA9 GGUF: https://t.co/Mrh0giFSTH https://t.co/p8ChQ3Hp95 https://t.co/E5fcDJUm0P

Jul 30, 2026 · ♥ 833 · ⇄ 96

Founder at Unsloth AI YC S24

Intro paths

Michael went through Y Combinator (Summer 2024) — any YC alum in your network can reach them through the YC community.

Their group partner at YC was Nicolas Dessaigne, General Partner at Y Combinator — the partner who ran Unsloth AI's batch and knows the company first-hand. YC profile ↗

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In turn, Michael can intro founders to Unsloth AI's investors below.