PulseAugur
EN
LIVE 21:53:16

User struggles with Qwen 3.6 coding model performance on local setup

A user is experiencing significant difficulties getting local coding assistance from the Qwen 3.6 27B UD_4 model, even with a high-end RTX 5090 GPU and a 131K context window. Despite using tools like Cline in VS Code and detailed implementation plans generated by Fable, the Qwen model consistently produces buggy code and broken terminal commands. The user questions whether their expectations are too high or if their setup is incorrect, seeking advice on alternative models or harnesses for better performance. AI

IMPACT Highlights potential limitations in local coding assistance models and user setup challenges.

RANK_REASON User experience post discussing issues with a specific model's performance.

Read on r/LocalLLaMA →

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

User struggles with Qwen 3.6 coding model performance on local setup

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/adcimagery ·

    Am I Expecting Too Much?

    <!-- SC_OFF --><div class="md"><p>I’ve been trying to get started with local coding help after finding Claude Code really useful but I’m just running into a ton of problems.</p> <p>On my RTX 5090, I’ve been running Qwen 3.6 27B UD_4 at 131K context, no KV quants, quant’d by Unslo…