ermiaazarkhalili/Carnice-9B-Function-Calling-xLAM-Unsloth
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 96/96
2 derivatives checked
- mradermacher/Carnice-9B-Function-Calling-xLAM-Unsloth-i1-GGUF: Quantization
- mradermacher/Carnice-9B-Function-Calling-xLAM-Unsloth-GGUF: Same weights, converted