Kolyadual/Newton-bot-3-VLM-mini-4B

LoRA-style vs Qwen/Qwen3.5-4B. 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: Embeddings 0/5, MLP 96/199, Attention 56/324, Norms 0/209, other 0/1

2 derivatives checked

1 other repos hold byte-for-byte identical weight files.

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