AxionLab-Co/DogeAI2.5-0.2B
LoRA-style vs unsloth/gemma-3-270m-it. 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 18 of 18 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/109, MLP 54/54, Attention 72/72
1 derivatives checked
- mradermacher/DogeAI2.5-0.2B-GGUF: Same weights, converted