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When running all scripts under the bench directory and finding that, when executed on the CPU, PyTorch's native fp16 and int8 are faster than ggml_type's fp16, q8_0, q4_k_m, and q2_k, and the performance differences between ggml_type's fp16, q8_0, q4_k_m, and q2_k are also minimal, is this normal?
The text was updated successfully, but these errors were encountered:
When running all scripts under the bench directory and finding that, when executed on the CPU, PyTorch's native fp16 and int8 are faster than ggml_type's fp16, q8_0, q4_k_m, and q2_k, and the performance differences between ggml_type's fp16, q8_0, q4_k_m, and q2_k are also minimal, is this normal?
The text was updated successfully, but these errors were encountered: