ClosRise/RuBL_150m

LoRA-style vs FrontiersMind/Nandi-Mini-150M. 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 16 of 16 layers; norms, biases and embeddings are untouched.

Tensors changed: lm_head 0/1, Embeddings 0/2, Norms 0/33, MLP 48/48, Attention 64/64

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