nsemhoun/Claire-3B-v0.1
LoRA-style vs HuggingFaceTB/SmolLM3-3B-Base. 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 36 of 36 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/73, MLP 108/108, Attention 144/144
1 derivatives checked
- nsemhoun/Claire-3B-v0.1-GGUF: Same weights, converted