1024m/gemma-2-2b-it-Base
Full fine-tune vs google/gemma-2-2b. Fine-tune: 100% of the weights changed, across 26 of 26 layers.
Tensors changed: Embeddings 1/1, Norms 105/105, MLP 78/78, Attention 104/104
1 derivatives checked
- featherless-ai-quants/1024m-gemma-2-2b-it-Base-GGUF: Quantization
25 other repos hold byte-for-byte identical weight files.