zelk12/MT-Gen6-U-gemma-2-Tv3Tv2-9B
LoRA-style vs TheDrummer/Tiger-Gemma-9B-v2. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of down_proj, gate_proj, k_proj, o_proj, q_proj, up_proj, v_proj changed, in 42 of 42 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/169, MLP 126/126, Attention 168/168
2 derivatives checked
- mradermacher/MT-Gen6-U-gemma-2-Tv3Tv2-9B-i1-GGUF: Quantization
- mradermacher/MT-Gen6-U-gemma-2-Tv3Tv2-9B-GGUF: Same weights, converted