brivangl/qwenar-0.6b-montevideo
LoRA-style (fewer layers) vs Qwen/Qwen3-0.6B-Base. Qwen/Qwen3-0.6B-Base matches part of brivangl/qwenar-0.6b-montevideo (310 of its 623 tensors; the rest of brivangl/qwenar-0.6b-montevideo has no counterpart). On the shared part: 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 28 of 28 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/113, MLP 84/84, Attention 112/112