tripplet-research/suzhou3.1
LoRA-style vs kai-os/Carnice-9b. 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 0/105, Attention 32/224, MLP 93/96
2 derivatives checked
- mradermacher/suzhou3.1-i1-GGUF: Quantization
- mradermacher/suzhou3.1-GGUF: Same weights, converted