IlyaGusev/saiga_gemma3_12b
LoRA-style vs mlabonne/gemma-3-12b-it-abliterated. 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 48 of 48 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/4, Norms 0/400, MLP 144/252, Attention 192/408, other 0/1
4 derivatives checked
- mradermacher/saiga_gemma3_12b-i1-GGUF: Quantization (fewer layers)
- mradermacher/saiga_gemma3_12b-GGUF: Full fine-tune (fewer layers)
- zelk12/MT-Gen1-gemma-3-12B: Full fine-tune
- zelk12/MT2-Gen2_gemma-3-12B: Full fine-tune
1 other repos hold byte-for-byte identical weight files.