Qwimi3.5 9B Kimik2.6 Opus Distill GGUF Qwimi3.5 9B Kimik2.6 Opus Distill GGUF contains GGUF quantized releases of Qwimi3.5 9B Kimik2.6 Opus Distill , a reasoning focused fine tune of unsloth/Qwen3.5 9B . This model was trained as a supervised fine tuning/distillation run using a curated mixture of Kimi K2.6, Qwen reasoning, and Claude Opus TraceInversion style reasoning data. The goal of the run was to improve structured reasoning behavior while preserving Qwen style chat formatting and ... reasoning traces. Developed by: trjxter Base model: unsloth/Qwen3.5 9B Model type: GGUF quantized causal language model Training method: LoRA / RS LoRA SFT with Unsloth + TRL License: Apache 2.0 Language: English Available Quantizations This repository contains GGUF quantized versions of the merged fine tuned model for use with llama.cpp compatible runtimes. Expected quantization set: Quant Notes Q3 K L Smaller size, lower memory usage, more quality loss Q4 K M Good default balance of size, speed, and quality Q5 K M Higher quality than Q4, moderate size increase Q6 K Strong quality retention, larger file size Q8 0 Highest quality quant in this set, largest file size For most local inference setu…
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