Tencent open-sources AngelSpec framework for faster LLM decoding

Tencent released AngelSpec, an open-source framework for training speculative-decoding models that speed up large language model (LLM) inference. On its HY3-295B-A21B model, the included drafter delivered a 1.98-2.40x speedup over standard autoregressive decoding.

Why it matters: Speculative decoding is one of the more practical levers for cutting inference cost and latency without touching model quality, and open-sourcing a training framework for it, rather than just a model, lowers the barrier for other labs to adopt the technique. It follows Moonshot AI's recent open-sourcing of its MoonEP parallelism library, part of a broader pattern of Chinese labs releasing infrastructure tooling alongside their models.