[N] Benchmarking GGUF Quantization for LLaMA-3.2-1B: 68% Size Reduction with
![[N] Benchmarking GGUF Quantization for LLaMA-3.2-1B: 68% Size Reduction with <0.4pp Accuracy Loss on SNIPS](https://b.thumbs.redditmedia.com/oSgzCi0D7Bmc0Yu4c1k90sqt8mUFgCUimhWO4cj7_Po.jpg "[N] Benchmarking GGUF Quantization for LLaMA-3.2-1B: 68% Size Reduction with <0.4pp Accuracy Loss on SNIPS") |
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![[N] Benchmarking GGUF Quantization for LLaMA-3.2-1B: 68% Size Reduction with <0.4pp Accuracy Loss on SNIPS](https://www.digitado.com.br/wp-content/uploads/2026/02/oSgzCi0D7Bmc0Yu4c1k90sqt8mUFgCUimhWO4cj7_Po-UYoSTM-978x400.jpg "[N] Benchmarking GGUF Quantization for LLaMA-3.2-1B: 68% Size Reduction with <0.4pp Accuracy Loss on SNIPS")
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