vincentzhou/jev-student-4b-yizao
LoRA-style (fewer layers) vs Qwen/Qwen3.5-4B-Base. vincentzhou/jev-student-4b-yizao matches part of Qwen/Qwen3.5-4B-Base (426 of its 738 tensors; the rest of Qwen/Qwen3.5-4B-Base has no counterpart). On the shared part: Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of k_proj, o_proj, q_proj, v_proj changed, in 8 of 32 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, MLP 0/96, Attention 32/224, Norms 0/105