flammenai/Mahou-1.5-mistral-nemo-12B
LoRA-style vs flammenai/Flammades-Mistral-Nemo-12B. 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 40 of 40 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/81, MLP 120/120, Attention 160/160, lm_head 0/1
6 derivatives checked
- bartowski/Mahou-1.5-mistral-nemo-12B-GGUF: Same weights, converted
- featherless-ai-quants/flammenai-Mahou-1.5-mistral-nemo-12B-GGUF: Quantization
- mradermacher/Mahou-1.5-mistral-nemo-12B-i1-GGUF: Quantization
- flammenai/Mahou-1.5-mistral-nemo-12B-GGUF: Same weights, converted
- mradermacher/Mahou-1.5-mistral-nemo-12B-GGUF: Quantization
- nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated: Partial fine-tune