sulpikar2/Qwen3.5-9B-Uncensored-cyber-v3
LoRA-style vs sulpikar2/Qwen3.5-9B-Uncensored-cyber. 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 32 of 32 layers; norms, biases and embeddings are untouched.
Tensors changed: lm_head 0/1, Embeddings 0/4, MLP 96/208, Attention 49/332, Norms 0/215
2 derivatives checked
- mradermacher/Qwen3.5-9B-Uncensored-cyber-v3-GGUF: Same weights, converted
- sulpikar2/Qwen3.5-9B-Deepseek-reasoning: LoRA-style