Alfaxad/gemma2-27b-swahili-it
LoRA-style vs google/gemma-2-27b-it. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of k_proj, o_proj, q_proj, v_proj changed, in 46 of 46 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/185, MLP 0/138, Attention 183/184
2 derivatives checked
- mradermacher/gemma2-27b-swahili-it-i1-GGUF: Quantization
- mradermacher/gemma2-27b-swahili-it-GGUF: Quantization