The local llm just 3x'd on metal. llama.cpp v0.6.0, out oct 6, ships a 3x speedup on apple silicon…
the local llm just 3x'd on metal. llama.cpp v0.6.0, out oct 6, ships a 3x speedup on apple silicon while 4-bit blackwell builds went production-ready.
the small model now runs fastest on a laptop.
Context
AICoder reports that ggml-org released llama.cpp v0.6.0 on Oct 5, 2026, with up to about 3x faster few-row matrix multiplication on Apple GPUs, a new llama_batch_ext API and support for GLM-5.3-Flash. Jason Vs The Noise (Oct 6, 2026) covers the same release and warns that old sessions do not carry over.
A llama.cpp pull request adds a native 4-bit float quant for Blackwell that gives about 40% faster prompt processing, and other pull requests add native NVFP4 support.
The release is dated Oct 5, 2026 in the AICoder report, and the 3x is for few-row matrix multiplication on Apple GPUs, not a general 3x speedup. The Blackwell 4-bit work is in pull requests with a 40% prompt processing gain, and that those builds went production ready was not seen in the sources read, so unsupported here, not refuted. 'The small model now runs fastest on a laptop' is the author's opinion.
Related work
- New Releases: llama.cpp v0.6.0 ↗Release notes mirror.
- GitHub: llama.cpp native NVFP4 support for Blackwell ↗Apr 21, 2026.
- GitHub: llama.cpp improved NVFP4 W4A4 activation quantization ↗Quality and performance work.
Watch next
- Read the v0.6.0 release notes for the Apple GPU benchmark numbers.
Sources
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 11 October 2026 at 21:50 IST. Sources are the papers and datasets the note draws on.
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