Lalakai/Hunter-1-1.7B
LoRA-style vs XHToken/Spark-X2.5-1.7B. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of gate_proj, up_proj changed, in 28 of 28 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/57, MLP 56/84, Attention 0/84
1 derivatives checked
- mradermacher/Hunter-1-1.7B-GGUF: Same weights, converted