nbeerbower/CHUD-Qwen3.6-27B
LoRA-style vs nbeerbower/BigBubba-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, q_proj, up_proj, v_proj changed, in 63 of 64 layers; norms, biases and embeddings are untouched.
Tensors changed: lm_head 0/1, Embeddings 0/5, Norms 0/325, Attention 64/560, MLP 192/307, other 0/1
2 derivatives checked
- mradermacher/CHUD-Qwen3.6-27B-i1-GGUF: Quantization
- mradermacher/CHUD-Qwen3.6-27B-GGUF: Quantization