Tesslate/UIGEN-T3-32B-Preview
LoRA-style vs Qwen/Qwen3-32B. 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 64 of 64 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/257, MLP 192/192, Attention 256/256, lm_head 0/1
5 derivatives checked
- mradermacher/UIGEN-T3-32B-Preview-i1-GGUF: Quantization
- gabriellarson/UIGEN-T3-32B-Preview-GGUF: Same weights, converted
- DevQuasar/Tesslate.UIGEN-T3-32B-Preview-GGUF: Same weights, converted
- mradermacher/UIGEN-T3-32B-Preview-GGUF: Quantization
- Tesslate/UIGEN-T3-32B-Preview-GGUF: Quantization