zapabobouj/qwen3.5-elt-l3
LoRA-style (fewer layers) vs huihui-ai/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated. zapabobouj/qwen3.5-elt-l3 matches part of huihui-ai/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated (426 of its 738 tensors; the rest of huihui-ai/Huihui-Qwen3.5-4B-Claude-4.6-Opus-abliterated 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, in_proj_a, in_proj_b, in_proj_qkv, in_proj_z, 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: Embeddings 0/1, MLP 96/96, Attention 152/224, Norms 0/105