mradermacher/RDT2-VQ-i1-GGUF
Quantization (fewer layers) vs robotics-diffusion-transformer/RDT2-VQ. mradermacher/RDT2-VQ-i1-GGUF matches part of robotics-diffusion-transformer/RDT2-VQ (339 of its 729 tensors; the rest of robotics-diffusion-transformer/RDT2-VQ has no counterpart). On the shared part: mradermacher/RDT2-VQ-i1-GGUF is a GGUF quantization (Q6_K) of the same weights: 141 tensors match exactly and 198 within quantization error.
Tensors changed: Embeddings 0/1, Norms 0/57, MLP 0/84, Attention 0/196, lm_head 0/1