Qwen3-30B-A3B-pruned-GGUF / scores /Qwen3-30B-A3B-pruned-F16.wng
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Generate Perplexity, KLD, ARC, HellaSwag, MMLU, Truthful QA and WinoGrande scores
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build: 5553 (c7e0a205) with cc (GCC) 11.5.0 20240719 (Red Hat 11.5.0-5) for x86_64-amazon-linux
llama_model_load_from_file_impl: using device CUDA0 (Tesla T4) - 14810 MiB free
llama_model_load_from_file_impl: using device CUDA1 (Tesla T4) - 14810 MiB free
llama_model_load_from_file_impl: using device CUDA2 (Tesla T4) - 14810 MiB free
llama_model_load_from_file_impl: using device CUDA3 (Tesla T4) - 14810 MiB free
llama_model_loader: loaded meta data with 40 key-value pairs and 579 tensors from ./Qwen3-30B-A3B-F16.gguf (version GGUF V3 (latest))
Final Winogrande score(750 tasks): 75.8667 +/- 1.5635
llama_perf_context_print: load time = 13885.91 ms
llama_perf_context_print: prompt eval time = 165214.42 ms / 21448 tokens ( 7.70 ms per token, 129.82 tokens per second)
llama_perf_context_print: eval time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
llama_perf_context_print: total time = 168672.50 ms / 21449 tokens