EpistemeAI/ReasoningCore-3B-R01
LoRA-style vs EpistemeAI/ReasoningCore-3B-0. 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
3 derivatives checked
- mradermacher/ReasoningCore-3B-R01-i1-GGUF: Quantization
- mradermacher/ReasoningCore-3B-R01-GGUF: Same weights, converted
- EpistemeAI/ReasoningCore-Llama-3.2-3B-R01-1.1: LoRA-style