Qwen Is Not Yet Ready to Power Local OpenClaw Deployments
The article discusses the challenges faced when using the Qwen model for local OpenClaw deployments. Despite its strong performance in a model showdown, Qwen requires significant configuration adjustments to function properly. The author highlights specific issues encountered and the solutions implemented to improve usability.
- ▪Qwen3.5-35B-A3B achieved a high score in a recent model showdown but faced usability challenges in deployment.
- ▪The author encountered configuration errors that affected tool calls and output formatting.
- ▪Adjustments to the model's template and skill loading improved its performance and accuracy.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3884903) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Rob Posted on May 26 • Originally published at vibescoder.dev Qwen Is Not Yet Ready to Power Local OpenClaw Deployments #homelab #agents #openclaw #opinion Local LLM Showdown (12 Part Series) 1 From Idea to Infrastructure: Standing Up a Self-Hosted AI Dev Environment 2 Putting the GPU to Work: Running Local LLMs on a Home Lab ... 8 more parts...
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