Trappu/Nemo-Picaro-V2-12B
LoRA-style vs royallab/MN-LooseCannon-12B-v2. 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 40 of 40 layers; norms, biases and embeddings are untouched.
Tensors changed: lm_head 0/1, Embeddings 0/1, Norms 0/81, MLP 120/120, Attention 160/160
2 derivatives checked
- mradermacher/Nemo-Picaro-V2-12B-GGUF: Quantization
- Trappu/Magnum-Picaro-0.7-V3-12b: Full fine-tune