Mistral's Large 4 Technical Report Draws Attention
Mistral's technical report for Large 4 (ML4), praised as the company's first truly readable paper, details its AdamW + MLA training on 28T tokens, challenges in training a 1T-parameter model, and how KV-cache-saving choices hurt SWE-bench performance.
2026-11-03 ~ 2026-11-03 · 2 related posts
- Mistral Large 4 tech report: lessons from training 1T-param models and failing pre-training proxies — _AndrewZhao · 2026-11-03
- Mistral's ML4 report: KV-cache-saving attention tricks regressed SWE-bench agentic scores — _AndrewZhao · 2026-11-03