md-nishat-008/TigerCoder-1B
LoRA-style vs md-nishat-008/TigerLLM-1B-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 26 of 26 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/157, MLP 78/78, Attention 104/104
1 derivatives checked
- mradermacher/TigerCoder-1B-GGUF: Same weights, converted