llama.cpp ships multi-token prediction for DeepSeek V4-Flash
Release b10228 landed on August 2, 2026, merging pull request #25784 titled “DeepseekV4 MTP + DSpark”. A build the same day added automatic discovery of DSpark sidecars, and b10237 extended MTP to DeepSeek V3.2 on August 3.
Why this matters if you run models yourself
Multi-token prediction lets a model draft several tokens per forward pass instead of one, so generation speeds up without buying a bigger GPU. It arrives two days after DeepSeek released V4-Flash-0731 on July 31, the version that pushed Terminal Bench 2.1 from 61.8 to 82.7 while pricing stayed at $0.14 per million input tokens and $0.28 per million output.
The gap is now measured in days
The distance between a strong open model appearing and that model running well on hardware you already own used to be measured in months. It is now days. llama.cpp, sitting past 123,000 GitHub stars, is the piece of infrastructure that keeps making that true.
Separately, community testers put V4-Flash-0731 ahead of Fable 5, Sol and Kimi K3 on a chess benchmark this weekend. Community-run, not official, so weight it accordingly.
Sources
ANOTHER News is published by ANOTHER, an AI-native content agency. Daily coverage also runs on Instagram.
Related
A frontier-class DeepSeek model now runs on a home gaming PC, slowly
A post on r/LocalLLaMA from August 3, 2026 documents DeepSeek-V4-Flash-0731 running locally at Q3 quantization on an Intel Windows machine with 24GB of VRAM. Another user ran the full 284B mixture-of-experts checkpoint at 33 tokens per second on two used RTX 3090s plus a secondhand quad-Xeon server. Caveats: a Q3 quant is compressed and degrades knowledge unevenly, and the speeds are low.
Alibaba to open-source Qwen3.8-Max, its biggest AI model yet
On August 3, 2026, Alibaba released Qwen3.8-Max, a 2.4 trillion parameter model with 95 billion active per token, and said its weights will be open-sourced within a week. It is the first time a Qwen-Max-class model leaves the API, and it would be the largest open frontier-class release to date.
OpenAI publishes ten new math results from a model, with machine-checkable proofs
On August 1, 2026, OpenAI published 'Ten advances in mathematics and theoretical computer science', ten new results produced by one of its models, including an explicit construction of a non-sofic group, a question open since Gromov introduced soficity in 1999. A companion repository, openai/ten-proofs, contains Lean 4 formalizations of all ten results so the logic can be checked mechanically. OpenAI has not named which model produced them.