AINewsnow

Training a 97.5M Python coding model from scratch for $1.40 in GPU time

I wanted to really understand how language models are built, and the best way I know to understand something is to build it. So I built a small one myself, from nothing: my own tokenizer, my own model, my own training loop, fine-tuning and benchmark. I kept it to Python code only, and kept it small…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-10-18 01:11 · DEV Community — Machine Learning
    Training a 97.5M Python coding model from scratch for $1.40 in GPU time

More stories

  1. DeepSeek releases V4.1-Flash-1017 with MIT-licensed weights and improved performance — Vercel Blog
  2. NVIDIA RTX Spark Laptops Launch Globally With Local AI Agent Support — NVIDIA Blog
  3. FLUX 3 Klein image model launches with updated workflows and community testing — r/StableDiffusion
  4. Meta releases 816B-parameter Muse Spark Open model for local Mac deployment — NVIDIA Blog
  5. OpenMOSS Releases Apache-Licensed MOSS-Image Model — r/StableDiffusion
  6. Community debates Qwen 3.8 Flash Next performance and optimization — r/LocalLLaMA
  7. Vercel Adds Session Affinity to AI Gateway Logs — Vercel Blog
  8. Meta Removes AI Training Language from Terms After Backlash — The Verge AI

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