williamlcn/gen_mcq
LoRA-style vs unsloth/gemma-2-2b-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 26 of 26 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/105, MLP 0/78, Attention 104/104
1 derivatives checked
- featherless-ai-quants/williamlcn-gen_mcq-GGUF: Quantization