# llama.cpp v0.6.0 adds GLM-5.3-Flash, a decision-model API and faster Metal kernels

> OnPrem World · https://onpremworld.com/en/news/2026-10-llama-cpp-v0-6-0 · CC BY 4.0

Published: 2026-10-05 · Runtimes & apps

llama.cpp published v0.6.0 on October 5, one of its numbered releases alongside the daily builds. It adds support for Z.ai's 320B GLM-5.3-Flash and the Clef decision model, multi-token-prediction speculative decoding for Qwen4Exp models (about 1.5x faster decoding on DGX Spark), and a /v1/systemone server endpoint for decision models. On Apple GPUs it brings a new flash-attention kernel for F16 KV caches and matrix-multiplication kernels that are up to about 3x faster for speculative and batched decoding. The built-in web UI was also reworked around downloading models from Hugging Face.

## Why it matters locally

Qwen3.8-Flash-Next (a Qwen4Exp model) and GLM-5.3-Flash can now run as GGUF files, and apps that bundle llama.cpp will pick these changes up as they update.

## Source

[llama.cpp v0.6.0 release notes (GitHub)](https://github.com/ggml-org/llama.cpp/releases/tag/v0.6.0)

## On this site

- Models: [Qwen3.8-Flash-Next](https://onpremworld.com/en/models/qwen3.8-flash-next.md)
- Hardware: [DGX Spark](https://onpremworld.com/en/hardware/nvidia-dgx-spark.md)

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Summaries are written by OnPrem World from the official source. We link to the original and never republish it.