Open-Sourced 4-bit RL Training Recipe
hyunw_kim · x · 2026-07-11
Humans& open-sourced a 4-bit, hardware-native RL training recipe. The author claims it shows no performance drop compared to 8-bit solutions, while significantly accelerating training.
The core of the post is sharing their training methodology tailored for long-term, multi-agent RL, alongside a blog post for further details.
Related event: Humans& Open-Sources 4-bit RL Training Recipe(6 posts)→
More from Infra
- Tabul AI launches Metal TreeSHAP to speed up Shapley values on Apple silicon — Scobleizer · 2026-07-22
- DeepSeek-V4-Flash tops out at 770 tok/s on one B300 in a vLLM batch test — Moreh · 2026-07-22
- NVIDIA starts shipping 102.4 Tbps Spectrum-6 switches for Vera Rubin AI factories — nvidia · 2026-07-22
- Apple publishes SOC 3 audit reports for Private Cloud Compute — throwfaraway4 · 2026-07-22
- Reddit GPU renters say existing platforms only give you two of three: code, recovery, fair billing — legendpizzasenpai · 2026-07-22
- The Sandboxing Manifesto: Secure Execution Environments for Agents — spirosoik · 2026-07-22