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Benchmarking Gemma 4 E2B on CPU with llama.cpp: A Practical Local AI Experiment

This story is from 2026-10-09. It is preserved in the archive; the latest stories are on the live feed.

1. Why This Experiment? I want to run a local language model for everyday office work without depending entirely on a cloud-based AI service. My intended use cases include: A local chatbot for general questions. Drafting Malay and English letters, memoranda, and emails. Preparing technical document…

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  1. 2026-10-09 00:02 · DEV Community — AI
    Benchmarking Gemma 4 E2B on CPU with llama.cpp: A Practical Local AI Experiment

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  1. RPC: add `-sm tensor` by am17an · Pull Request #26610 · ggml-org/llama.cpp — r/LocalLLaMA
  2. Java vllm-like framwork claims 90% of perfomance of llama.cpp on local inference on NVIDIA GPUs by compiling Java to CUDA and cuTile — r/LocalLLM
  3. 128K context on Qwen 3.5 4B in 800 MB instead of 4 GB: what we changed in our llama.cpp build. — r/LocalLLM
  4. Running a local server with Gemma 4 26b a4b on laptop rtx 4050 + 16gb ram dd5 and llama.cpp — r/LocalLLM
  5. GPU - Vulkan llama.cpp benchmarks sorted by price to performance — r/LocalLLaMA
  6. MTP in llama.cpp now decodes competitively with ds4 using GLM 5.3 Flash — r/LocalLLaMA
  7. Best current R9700 inference engine? — r/LocalLLaMA
  8. Meta's Llama 3.3 70B Now Fits on a Single 48 GB GPU — AlphaSignal

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