https://github.com/ggml-org/llama.cpp/pull/21038
Since now cache quantization has better quality, does that mean Q8 cache is a good choice now? For example for 26B Gemma4?
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Q8 Cache
Reddit r/LocalLLaMA / 4/14/2026
💬 OpinionIdeas & Deep AnalysisTools & Practical Usage
Key Points
- The post discusses whether improved cache quantization quality makes Q8 cache a generally good choice for local LLM inference.
- It specifically asks about using Q8 cache for a 26B Gemma4 model, implying a need to balance quality and performance.
- The discussion links to a llama.cpp pull request, suggesting the question is tied to recent changes in the project’s caching/quantization behavior.
- The main takeaway is an evaluation/decision question for practitioners choosing quantization settings for better runtime output quality.
submitted by /u/Longjumping_Bee_6825
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