mlabonne/NeuralMarcoro14-7B
LoRA-style vs mlabonne/Marcoro14-7B-slerp. 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: Embeddings 0/1, Norms 0/65, MLP 96/96, Attention 128/128, lm_head 0/1
7 derivatives checked
- MaziyarPanahi/NeuralMarcoro14-7B-GGUF: Quantization
- mradermacher/NeuralMarcoro14-7B-i1-GGUF: Quantization
- adamksn/Turdus-7B-GGUF: Full fine-tune
- mradermacher/NeuralMarcoro14-7B-GGUF: Same weights, converted
- featherless-ai-quants/mlabonne-NeuralMarcoro14-7B-GGUF: Quantization
- dfurman/GarrulusMarcoro-7B-v0.1: LoRA-style
- udkai/Garrulus: LoRA-style