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User tests local LLM runtimes on M5 Pro MacBook, seeks performance insights

A user is testing various runtimes and applications for local Large Language Models (LLMs) on their M5 Pro MacBook with 24GB of RAM. They are evaluating performance differences between tools like Ollama, LMStudio, oMlx, and osaurus when running models such as Gemma 4 12B. The user is seeking community input on which local LLM runtime offers the best performance. AI

IMPACT Provides insights into the practical performance of local LLM runtimes on consumer hardware, aiding users in selecting optimal tools.

RANK_REASON User-generated content discussing personal testing and seeking community feedback on existing tools.

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User tests local LLM runtimes on M5 Pro MacBook, seeks performance insights

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    I'm currently testing a few # LLM # MLX runtimes/apps on my # M5 Pro 24 GB. So far, I can't say which one gets the best performance out of a local LLM like # Ge

    I'm currently testing a few # LLM # MLX runtimes/apps on my # M5 Pro 24 GB. So far, I can't say which one gets the best performance out of a local LLM like # Gemma 4 12B. I've tested # Ollama , # LMStudio , # oMlx , and # osaurus . Each one has its own 1-2 tweaks that are suppose…