mradermacher/SmolVLM-256M-Instruct-i1-GGUF
Quantization (fewer layers) vs HuggingFaceTB/SmolVLM-256M-Instruct. mradermacher/SmolVLM-256M-Instruct-i1-GGUF matches part of HuggingFaceTB/SmolVLM-256M-Instruct (273 of its 471 tensors; the rest of HuggingFaceTB/SmolVLM-256M-Instruct has no counterpart). On the shared part: mradermacher/SmolVLM-256M-Instruct-i1-GGUF is a GGUF quantization (Q6_K) of the same weights: 61 tensors match exactly and 212 within quantization error.
Tensors changed: lm_head 0/1, Embeddings 0/1, Norms 0/61, MLP 0/90, Attention 0/120