ModelSpace/GemmaX2-28-9B-Pretrain
Full fine-tune vs google/gemma-2-9b. Fine-tune: 100% of the weights changed, across 42 of 42 layers.
Tensors changed: Embeddings 1/1, Norms 169/169, MLP 126/126, Attention 168/168
5 derivatives checked
- ModelSpace/GemmaX2-28-9B-v0.1: Full fine-tune
- mradermacher/GemmaX2-28-9B-Pretrain-i1-GGUF: Quantization
- mradermacher/GemmaX2-28-9B-Pretrain-GGUF: Same weights, converted
- DevQuasar-9/ModelSpace.GemmaX2-28-9B-Pretrain-GGUF: Same weights, converted
- xiaomi-research/GemmaX2-28-9B-v0.2: Full fine-tune