jsgreenawalt/gemma-2-9B-it-advanced-v2.1
Full fine-tune vs UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3. Fine-tune: 100% of the weights changed, across 42 of 42 layers.
Tensors changed: Embeddings 1/1, Norms 114/169, MLP 126/126, Attention 168/168
3 derivatives checked
- mradermacher/gemma-2-9B-it-advanced-v2.1-i1-GGUF: Quantization
- mradermacher/gemma-2-9B-it-advanced-v2.1-GGUF: Same weights, converted
- lemon07r/Gemma-2-Ataraxy-Advanced-9B: Full fine-tune