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How to run Qwen 3.5 locally
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Overview
Qwen3.5 is a family of multimodal hybrid reasoning LLMs from Alibaba, featuring models such as Qwen3.5-35B-A3B, 27B, 122B-A10B, and 397B-A17B, as well as smaller versions like Qwen3.5-0.8B, 2B, 4B, and 9B. These models support a 256K context across 201 languages and deliver strong performance for their sizes.
Summary from unsloth.ai.
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How to run Qwen 3.5 locally
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Community reactions
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Hacker News · unsloth.ai
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Based on 5 sampled comments from this thread. Analyzed 2026-03-08.
- Praise: Running Qwen 3.5 9B on consumer-grade hardware like the ASUS 5070ti delivers stable performance, outperforming many online LLM services and providing high-quality output.
- Praise: The 35B-A3B model runs effectively on an 8GB RTX 3050, demonstrating responsiveness and competence in coding tasks, which enhances accessibility for developers.
- Praise: Qwen 3.5 shows promising capabilities in OCR and text formatting, indicating its versatility in practical applications despite slower performance on CPU.
- Concern: Confusion arises from the lack of clear explanations regarding the various model options and their tradeoffs, which complicates user experience and decision-making.
- Concern: Users report issues with GPU offloading on older hardware, indicating potential limitations in memory management that could hinder performance for some setups.
- Concern: Benchmarks reveal that the expected performance of the 27B dense model was disappointing, suggesting inconsistencies in model expectations versus real-world outcomes.