ℏεsam

Qwen 3.5 27B fine-tuned on Claude Opus 4.6 distilled data has been trending #1 on Hugging Face for 3 weeks. It outperforms Sonnet 4.5 on SWE-bench verified and can run locally on consumer hardware — 16GB VRAM in 4-bit or 32GB in 8-bit quantization, making it a capable agentic coding model accessible without cloud infrastructure.

this model is an agentic treasure. it has been #1 trending for 3 weeks on @huggingface as mentioned by @danielhanchen. it's Qwen 3.5 27B fine-tuned on Opus 4.6 distilled data and beats Sonnet 4.5 on SWE-bench verified and more. 

"Runs locally on 16GB in 4-bit or 32GB in 8-bit."

<p>this model is an agentic treasure. it has been #1 trending for 3 weeks on @huggingface as mentioned by @danielhanchen. it's Qwen 3.5 27B fine-tuned on Opus 4.6 distilled data and beats Sonnet 4.5 on SWE-bench verified and more. 

&quot;Runs locally on 16GB in 4-bit or 32GB in 8-bit.&quot;</p>

A retweet praising an unspecified AI model as an 'agentic treasure,' noting it has been trending #1 on Hugging Face for three weeks. No technical details or actionable content are provided.