AINewsnow

I Built a 188M Mixture-of-Experts LLM From Scratch on a Free GPU

By Shivam Kumar, founder of VisionQuantech. This is the honest version — what's proven, what's measured, and what's still running. Why a tiny MoE? Most mixture-of-experts research happens at billion-parameter scale. DeepSeekMoE, Mixtral, GLaM — all brilliant, all far beyond what a single free Colab…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-10-07 04:52 · DEV Community — Machine Learning
    I Built a 188M Mixture-of-Experts LLM From Scratch on a Free GPU

More stories

  1. Introducing Mistral Large 4 — Mistral AI News
  2. Mistral Says Its New AI Model ‘Le Chonk’ Is the Best Open-Weight Offering Outside of China — Wired AI
  3. Europe finally takes the lead — r/LocalLLM
  4. Q (@qtnx_) on X - Mistral Large 4 is still doing RL runs, keep seeing improvements (vs preview version). Release at the end of the month — r/LocalLLaMA
  5. Mistral Large 4 now available on AI Gateway — Vercel Blog
  6. What to know about Mistral's ML4 as it bets on EU sovereignty in the US-China open-weight AI race — Euronews Next
  7. Mistral to Release New AI Model to Better Compete With U.S. Rivals — Wall Street Journal Technology
  8. Mistral unveils new AI model it says rivals best open systems from China — CNBC Technology

Get the daily brief of stories like this at 6:30 every morning →