matrixportalx/Aya-Z
LoRA-style vs matrixportalx/Aya-X-Mod. 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 32 of 32 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/33, MLP 79/96, Attention 117/128
3 derivatives checked
- mradermacher/Aya-Z-i1-GGUF: Quantization
- mradermacher/Aya-Z-GGUF: Same weights, converted
- matrixportalx/Dost: LoRA-style