flammenai/Mahou-1.2a-mistral-7B
LoRA-style vs flammenai/flammen27-mistral-7B. 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 32 of 32 layers; norms, biases and embeddings are untouched.
Tensors changed: lm_head 0/1, Embeddings 0/1, Norms 0/65, MLP 96/96, Attention 128/128
6 derivatives checked
- mradermacher/Mahou-1.2a-mistral-7B-i1-GGUF: Quantization
- mradermacher/Mahou-1.2a-mistral-7B-GGUF: Same weights, converted
- featherless-ai-quants/flammenai-Mahou-1.2a-mistral-7B-GGUF: Quantization
- nbeerbower/Flammen-Mahou-mistral-7B: Full fine-tune
- nbeerbower/Mahou-1.3-M2-mistral-7B: Full fine-tune
- nbeerbower/Mahou-mistral-slerp-7B: Full fine-tune