Tesslate/UIGENT-30B-3A-Preview
LoRA-style vs Qwen/Qwen3-Coder-30B-A3B-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 48 of 48 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/193, MLP 2565/2613, Attention 192/192, lm_head 0/1
3 derivatives checked
- mradermacher/UIGENT-30B-3A-Preview-i1-GGUF: Quantization
- DevQuasar/Tesslate.UIGENT-30B-3A-Preview-GGUF: Same weights, converted
- mradermacher/UIGENT-30B-3A-Preview-GGUF: Quantization
2 other repos hold byte-for-byte identical weight files.