taigrr/kev-9b-gguf
LoRA-style vs Qwen/Qwen3.5-9B-Base. taigrr/kev-9b-gguf is a GGUF (F16) of different weights. 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 32 of 32 layers; norms, biases and embeddings are untouched.
Tensors changed: lm_head 0/1, Embeddings 0/1, MLP 96/96, Attention 32/32, Norms 0/81