NoemaAI-labs/Noema-1.5-2B
LoRA-style vs NoemaAI-labs/Noema-2B. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of down_proj, gate_proj, in_proj_a, in_proj_b, in_proj_qkv, in_proj_z, k_proj, o_proj, out_proj, q_proj, up_proj, v_proj changed, in 24 of 24 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/79, Attention 114/168, MLP 72/72
1 derivatives checked
- NoemaAI-labs/Noema-1.5-2B-GGUF: Same weights, converted