ymcki/gemma-2-2b-jpn-it-abliterated-17-ORPO
LoRA-style vs google/gemma-2-2b-jpn-it. 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 26 of 26 layers; norms, biases and embeddings are untouched.
Tensors changed: Norms 0/105, MLP 78/78, Attention 104/104
2 derivatives checked
- mradermacher/gemma-2-2b-jpn-it-abliterated-17-ORPO-i1-GGUF: Quantization
- mradermacher/gemma-2-2b-jpn-it-abliterated-17-ORPO-GGUF: Same weights, converted