INSAIT-Institute/BgGPT-Gemma-2-9B-IT-v1.0
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
4 derivatives checked
- mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-i1-GGUF: Quantization
- mradermacher/BgGPT-Gemma-2-9B-IT-v1.0-GGUF: Same weights, converted
- tensorblock/BgGPT-Gemma-2-9B-IT-v1.0-GGUF: Quantization
- llm-bg/Tucan-9B-v1.0: LoRA-style