🔥 Qwen3.6 35B A3B Claude 4.6 Opus Reasoning Distilled GGUF GGUF quantizations of hesamation/Qwen3.6 35B A3B Claude 4.6 Opus Reasoning Distilled , a reasoning SFT fine tune of Qwen/Qwen3.6 35B A3B on Claude Opus 4.6 style chain of thought distillation data. The source fine tune is text only. The Qwen3.6 base architecture includes a vision encoder, but this fine tuning run did not train on image or video examples. Treat these GGUF files as text generation/runtime quantizations of the merged fine tuned checkpoint. Developed by: @hesamation Source model: hesamation/Qwen3.6 35B A3B Claude 4.6 Opus Reasoning Distilled Base model: Qwen/Qwen3.6 35B A3B License: apache 2.0 This fine tuning run is inspired by Jackrong/Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled, including the notebook/training workflow style and Claude Opus reasoning distillation direction. Available GGUF Quantizations This repo is intended to host the following GGUF variants. Files are uploaded as each quantization finishes. Quant Typical use Q4 K M Smallest practical general purpose quant for local inference Q5 K M Better quality/size balance than Q4 Q6 K Higher quality quant when VRAM/RAM budget allows Q8 0 Largest q…
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