swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
LoRA-style vs meta-llama/Meta-Llama-3-8B-Instruct. 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
5 derivatives checked
- mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF: Quantization
- featherless-ai-quants/swap-uniba-LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-GGUF: Quantization
- mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-GGUF: Same weights, converted
- expertai/LLaMAntino-3-SLIMER-IT-PARALLEL: LoRA-style
- leopiano98/LLIMONIIE_anita-8b: LoRA-style