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@victormustar

Sharing my current setup to run Qwen3.6 locally in a good agentic setup (Pi + llama.cpp). Should give you a good overview of how good local agents are today: # Start llama.cpp server: llama-server \ -hf unsloth/Qwen3.6-35B-A3B-GGUF:Q4_K_XL \ --jinja \ --chat-template-kwargs '{"preserve_thinking":true}' \ --temp 0.6 --top-p 0.95 --top-k 20 --min-p 0 # Configure Pi: { "providers": { "llama-cpp": { "baseUrl": "http://127.0.0.1:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "unsloth/Qwen3.6-35B-A3B-GGUF:Q4_K_XL" } ] } } }

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    "text": "⚡ Meet Qwen3.6-35B-A3B:Now Open-Source!🚀🚀\n\nA sparse MoE model, 35B total params, 3B active. Apache 2.0 license.\n\n🔥 Agentic coding on par with models 10x its active size\n📷 Strong multimodal perception and reasoning ability\n🧠 Multimodal thinking + non-thinking modes\n\nEfficient. Powerful. Versatile. Try it now👇\n\nBlog:https://t.co/EXx5y466su\nQwen Studio:https://t.co/bg4tAU1p74\nHuggingFace:https://t.co/w4pDX14DZS\nModelScope:https://t.co/SuRyLzdQiO\nAPI(‘Qwen3.6-Flash’ on Model Studio):Coming soon~ Stay tuned",
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