SE6446/Llama-3.1-SuperNova-Lite-Reflection-V1.0
LoRA-style vs arcee-ai/Llama-3.1-SuperNova-Lite. 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: Norms 0/65, MLP 96/96, Attention 128/128
2 derivatives checked
- mradermacher/Llama-3.1-SuperNova-Lite-Reflection-V1.0-i1-GGUF: Quantization
- mradermacher/Llama-3.1-SuperNova-Lite-Reflection-V1.0-GGUF: Same weights, converted