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日本語(JA) Ollama 0.30.8のバイナリには"MLXランナー"が埋め込まれている。だがGGUFモデルは一度もそこを通らなかった — M1 Max 64GBで2モデル実測

Ollama 0.30.8 on Apple Silicon: MLX runner not active for GGUF models

A recent analysis of Ollama version 0.30.8 revealed that despite the binary containing code for an MLX runner, it does not appear to be utilized when running standard GGUF models on Apple Silicon. The investigation, conducted on an M1 Max 64GB Mac, found that logs consistently showed the `llama-server` as the active runner, even when testing different model architectures. This suggests that the claimed performance improvements from MLX may not apply to users running models via the typical `ollama pull` and `ollama run` commands. AI

IMPACT Investigating the actual backend used by local LLM runners like Ollama is crucial for optimizing performance on specific hardware.

RANK_REASON Technical analysis of a specific software version's functionality.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ollama 0.30.8 on Apple Silicon: MLX runner not active for GGUF models

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 日本語(JA) · bigkijimon ·

    Ollama 0.30.8 binaries have a "MLX runner" embedded. But GGUF models never went through it — measured on M1 Max 64GB for 2 models

    <p>「Ollamaが新しくMLXバックエンドに対応して、Apple SiliconでのローカルLLM推論が速くなった」という話をたまに見かける。手元はM1 Max 64GBのMac、Ollamaは0.30.8。じゃあ自分の環境でも恩恵があるのか確かめようとして、まず引っかかった。<strong>そもそも自分が普段 <code>ollama pull</code> して <code>ollama run</code> しているモデルは、本当にMLXランナーを通っているのか?</strong> 確かめずにtok/sだけ測っても、比較する土台が無い。バイナリ…