axieyangb/Vesper-Coder-1.5B
LoRA-style vs Qwen/Qwen2.5-Coder-1.5B-Instruct. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of k_proj, o_proj, q_proj, v_proj changed, in 28 of 28 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/57, MLP 0/84, Attention 112/196
1 derivatives checked
- mradermacher/Vesper-Coder-1.5B-GGUF: Same weights, converted