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Qwen 3.5 9B model achieves usable local performance on M2 laptop

By PulseAugur Editorial · [1 sources] ·

A user found that the Qwen 3.5 9B model runs optimally on their M2 laptop, achieving speeds of 30-50 tokens per second. This local performance is sufficient for tasks like translating UI elements for a client, eliminating the need for online services. The user noted that the quality of local LLM output rivals that of ChatGPT, leading them to question the necessity of large AI data centers for general-purpose language tasks. AI

IMPACT Demonstrates that capable LLMs can run effectively on consumer hardware, potentially reducing reliance on cloud-based AI services for certain tasks.

RANK_REASON User reports on local performance of an LLM on consumer hardware.

Read on Mastodon — mastodon.social →

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

Qwen 3.5 9B model achieves usable local performance on M2 laptop

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1 / 100
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User reports on local performance of an LLM on consumer hardware.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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Clearly on-topic for AI-industry coverage.
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Same-day
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COVERAGE [1]

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

    So after a bunch of experimentation on LM Studio it seems like the LLM sweet spot for my aging M2 laptop is Qwen 3.5 9B. If my memory is relatively free I can g

    So after a bunch of experimentation on LM Studio it seems like the LLM sweet spot for my aging M2 laptop is Qwen 3.5 9B. If my memory is relatively free I can get 30-50 tok/sec which is quite usable. Im in the middle of building a new UI for a client in Taiwan and translating all…

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