shibing624/chinese-text-correction-1.5b
LoRA-style vs Qwen/Qwen2.5-1.5B-Instruct. 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 28 of 28 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/57, MLP 84/84, Attention 112/196
4 derivatives checked
- featherless-ai-quants/shibing624-chinese-text-correction-1.5b-GGUF: Quantization
- mradermacher/chinese-text-correction-1.5b-GGUF: Same weights, converted
- MaziyarPanahi/chinese-text-correction-1.5b-GGUF: Same weights, converted
- tensorblock/chinese-text-correction-1.5b-GGUF: Quantization