SaisExperiments/Evil-Alpaca-3B-L3.2
LoRA-style vs meta-llama/Llama-3.2-3B-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 28 of 28 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/57, MLP 84/84, Attention 112/112
6 derivatives checked
- mradermacher/Evil-Alpaca-3B-L3.2-i1-GGUF: Quantization
- mradermacher/Evil-Alpaca-3B-L3.2-GGUF: Same weights, converted
- SaisExperiments/Evil-Alpaca-Right-Lean-L3.2-3B: LoRA-style
- Nexesenex/Llama_3.2_3b_Shark_0.0: Full fine-tune
- SaisExperiments/OwOllama-v0.1: LoRA-style
- Nexesenex/Llama_3.2_3b_SmartiHatz_0.1b: Full fine-tune