mradermacher/JingSi-V2-E4B-i1-GGUF
Quantization (fewer layers) vs Rayantion26/JingSi-V2-E4B. mradermacher/JingSi-V2-E4B-i1-GGUF matches part of Rayantion26/JingSi-V2-E4B (623 of its 2076 tensors; the rest of Rayantion26/JingSi-V2-E4B has no counterpart). On the shared part: mradermacher/JingSi-V2-E4B-i1-GGUF is a GGUF quantization (Q6_K) of the same weights: 279 tensors match exactly and 344 within quantization error.
Tensors changed: Embeddings 0/2, Norms 0/278, MLP 0/126, other 0/85, Attention 0/132