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Story

How to run Qwen 3.5 locally

1 report

1 website

1 discussion

Latest report

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.

Reports

One report so far. Additional coverage will appear here when it is linked to this story.

  1. unsloth.ai

    How to run Qwen 3.5 locally

    Read report →

Community reactions

Each reaction summarizes sampled comments from the linked discussion.

Hacker News · unsloth.ai

How to run Qwen 3.5 locally ↗
Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Read this discussion’s reaction

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.