How to fine-tune Qwen3.8-27B with LoRA on a Mac: MLX fine-tuning from scratch
This story is from 2026-09-17. It is preserved in the archive; the latest stories are on the live feed.
Key takeaways END STATE: a LoRA adapter trained on top of a frozen 8-bit Qwen3.5-9B or Qwen3.8-27B on one Mac, with the seven scripts that built the Atlassian models printed in full, the kit run end to end for this page with its real output shown, and the adapter merged into the 8-bit weights. The…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-09-17 20:56 · DEV Community — Machine Learning
How to fine-tune Qwen3.8-27B with LoRA on a Mac: MLX fine-tuning from scratch
More stories
- Anthropic says Claude 'leads' 26 percent of its AI R&D work — Engadget
- Google Joins OpenAI, Anthropic, Meta in Disclosing AI Hacks — Bloomberg AI
- Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
- Optimizing agent system prompts with Amazon Bedrock AgentCore — AWS Machine Learning Blog
- Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
- Introducing Astra for Law — OpenAI News
- Novo Nordisk Will Use Anthropic’s Claude for Drug Research — Wall Street Journal Technology
- Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
Get the daily brief of stories like this at 6:30 every morning →