nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2
LoRA-style vs axolotl-ai-co/romulus-mistral-nemo-12b-simpo. 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
5 derivatives checked
- mradermacher/Mistral-Nemo-Gutenberg-Doppel-12B-v2-i1-GGUF: Quantization
- mradermacher/Mistral-Nemo-Gutenberg-Doppel-12B-v2-GGUF: Quantization
- featherless-ai-quants/nbeerbower-Mistral-Nemo-Gutenberg-Doppel-12B-v2-GGUF: Quantization
- QuantFactory/Flammades-Mistral-Nemo-12B-GGUF: Quantization
- flammenai/Flammades-Mistral-Nemo-12B: LoRA-style