Qwen3.5 122B A10B Opus Reasoning GGUF The first Claude Opus distilled reasoning fine tune of Qwen3.5 122B at full scale. Enhanced multi step reasoning, analytical depth, and uncensored output — trained where competitors can't reach. 122B total parameters, 10B active per token (Mixture of Experts). LoRA fine tuned on 12,840 Claude Opus 4.6 reasoning traces. 7 quantization levels from Q2 K to BF16. ⚡ Forged on 8×H200 SXM5 1.1TB VRAM Why This Model Base Qwen3.5 122B Jackrong (27B) TIMTEH (this) Scale 122B/10B active 27B dense 122B/10B active Training data Base alignment Opus distillation Opus distillation Reasoning quality Standard Enhanced (small scale) Enhanced (full MoE scale) Uncensored ❌ ✅ ✅ Hardware required to train Any Consumer GPU 8×H200 (1.1TB VRAM) Nobody else has fine tuned Qwen3.5 122B on Opus reasoning data. Jackrong stopped at 27B because they don't have the hardware. We do. Quantizations Quant File Size BPW RAM Required Use Case BF16 ... BF16.gguf 228 GB 16.0 ~235 GB Maximum quality, reference Q8 0 ... Q8 0.gguf 121 GB 8.5 ~125 GB Near lossless, high VRAM setups Q6 K ... Q6 K.gguf 94 GB 6.6 ~98 GB Excellent quality Q5 K M ... Q5 K M.gguf 81 GB 5.7 ~85 GB Great balance…
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