aiplanet/buddhi-indic
LoRA-style vs google/gemma-2-9b-it. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of q_proj, v_proj changed, in 42 of 42 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/169, MLP 0/126, Attention 84/168
3 derivatives checked
- mradermacher/buddhi-indic-i1-GGUF: Quantization
- mradermacher/Gemma-2-9b-indic-GGUF: Same weights, converted
- mradermacher/buddhi-indic-GGUF: Same weights, converted