nkpz/gemma-2-Ifable-9B-Uncensored-DeLMAT
LoRA-style vs ifable/gemma-2-Ifable-9B. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of up_proj changed, in 42 of 42 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/169, MLP 42/126, Attention 0/168
2 derivatives checked
- mradermacher/gemma-2-Ifable-9B-Uncensored-DeLMAT-i1-GGUF: Quantization
- mradermacher/gemma-2-Ifable-9B-Uncensored-DeLMAT-GGUF: Same weights, converted