iselabvn/Tini-Cybersec-8B-A1B

LoRA-style vs LiquidAI/LFM2.5-8B-A1B. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of k_proj, out_proj, q_proj, v_proj, w1, w2, w3 changed, in 24 of 24 layers; norms, biases and embeddings are untouched.

Tensors changed: MLP 2118/2162, Embeddings 0/2, other 0/54, Norms 0/60, Attention 24/24

2 derivatives checked

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

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