oopere/FinChat-XS
LoRA-style vs HuggingFaceTB/SmolLM2-360M-Instruct. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of q_proj, v_proj changed, in 32 of 32 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/65, MLP 0/96, Attention 64/128
2 derivatives checked
- mradermacher/FinChat-XS-i1-GGUF: Quantization
- mradermacher/FinChat-XS-GGUF: Same weights, converted