TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill
LoRA-style vs Qwen/Qwen3.6-27B. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of down_proj, gate_proj, k_proj, o_proj, out_proj, q_proj, up_proj, v_proj changed, in 64 of 64 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/5, MLP 192/307, Attention 112/560, lm_head 0/1, Norms 0/325, other 0/1
1 derivatives checked
- TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-GGUF: Same weights, converted