{"columns":[{"name":"variant","type":"large_string"},{"name":"model","type":"large_string"},{"name":"device","type":"large_string"},{"name":"perplexity","type":"double"},{"name":"perplexity_status","type":"large_string"},{"name":"corpus","type":"large_string"},{"name":"tokens_approx","type":"int64"},{"name":"note","type":"large_string"}],"n_rows":14,"rows_kept":14,"cut":false,"text_format":"parquet-jsonl-2026-10-02","bounds":{"document_bytes":16777216,"package_text_limit_bytes":33554432,"package_text_slack_bytes":1024,"rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096,"vector_min":64,"vector_head_fixed":16,"vector_head_variable":64,"kv_value_chars":1048576,"nesting_max":64,"binary_text":true},"cells_cut":0,"cells_bad_utf8":0,"cells_raw":0,"cells_binary":0,"cells_binary_text":0,"cells_vector":0,"n_row_groups":1,"reader":"pyarrow 23.0.1, python 3.13","created_by":"parquet-cpp-arrow version 23.0.1","schema":{"fields":[{"name":"variant","type":"large_string","nullable":true,"metadata":null,"children":null},{"name":"model","type":"large_string","nullable":true,"metadata":null,"children":null},{"name":"device","type":"large_string","nullable":true,"metadata":null,"children":null},{"name":"perplexity","type":"double","nullable":true,"metadata":null,"children":null},{"name":"perplexity_status","type":"large_string","nullable":true,"metadata":null,"children":null},{"name":"corpus","type":"large_string","nullable":true,"metadata":null,"children":null},{"name":"tokens_approx","type":"int64","nullable":true,"metadata":null,"children":null},{"name":"note","type":"large_string","nullable":true,"metadata":null,"children":null}],"parquet":"required group field_id=-1 schema {\n  optional binary field_id=-1 variant (String);\n  optional binary field_id=-1 model (String);\n  optional binary field_id=-1 device (String);\n  optional double field_id=-1 perplexity;\n  optional binary field_id=-1 perplexity_status (String);\n  optional binary field_id=-1 corpus (String);\n  optional int64 field_id=-1 tokens_approx;\n  optional binary field_id=-1 note (String);\n}\n"},"kv_metadata":[["ARROW:schema",{"$cut":{"chars":2136,"head":""}}],["pandas","{\"index_columns\": [], \"column_indexes\": [], \"columns\": [{\"name\": \"variant\", \"field_name\": \"variant\", \"pandas_type\": \"object\", \"numpy_type\": \"str\", \"metadata\": null}, {\"name\": \"model\", \"field_name\": \"model\", \"pandas_type\": \"object\", \"numpy_type\": \"str\", \"metadata\": null}, {\"name\": \"device\", \"field_name\": \"device\", \"pandas_type\": \"object\", \"numpy_type\": \"str\", \"metadata\": null}, {\"name\": \"perplexity\", \"field_name\": \"perplexity\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"perplexity_status\", \"field_name\": \"perplexity_status\", \"pandas_type\": \"object\", \"numpy_type\": \"str\", \"metadata\": null}, {\"name\": \"corpus\", \"field_name\": \"corpus\", \"pandas_type\": \"object\", \"numpy_type\": \"str\", \"metadata\": null}, {\"name\": \"tokens_approx\", \"field_name\": \"tokens_approx\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": \"note\", \"field_name\": \"note\", \"pandas_type\": \"object\", \"numpy_type\": \"str\", \"metadata\": null}], \"attributes\": {}, \"creator\": {\"library\": \"pyarrow\", \"version\": \"23.0.1\"}, \"pandas_version\": \"3.0.1\"}"]]}
["Q2_K","Llama-3.2-3B-Instruct","Pixel6a",13.2885,"success","wikitext2_full",285000,"Measured on Pixel 6a (full WikiText-2 corpus, 568 chunks)"]
["Q3_K_M","Llama-3.2-3B-Instruct","Pixel6a",11.0832,"success","wikitext2_full",285000,"Measured on Pixel 6a (full WikiText-2 corpus, 568 chunks)"]
["Q4_K_M","Llama-3.2-3B-Instruct","Pixel6a",10.7128,"success","wikitext2_full",285000,"Measured on Pixel 6a (full WikiText-2 corpus, 568 chunks)"]
["Q4_K_S","Llama-3.2-3B-Instruct","Pixel6a",10.7005,"success","wikitext2_full",285000,"Measured on Pixel 6a (full WikiText-2 corpus, 568 chunks)"]
["Q5_K_M","Llama-3.2-3B-Instruct","Pixel6a",10.6243,"success","wikitext2_full",285000,"Measured on Pixel 6a (full WikiText-2 corpus, 568 chunks)"]
["Q6_K","Llama-3.2-3B-Instruct","Pixel6a",10.5841,"success","wikitext2_full",285000,"Measured on Pixel 6a (full WikiText-2 corpus, 568 chunks)"]
["Q8_0","Llama-3.2-3B-Instruct","Pixel6a",10.5894,"success","wikitext2_full",285000,"Measured on Pixel 6a (full WikiText-2 corpus, 568 chunks)"]
["Q2_K","Llama-3.2-3B-Instruct","x86",11.7265,"success","wikitext2_full",290817,"Measured on x86 i5-1235U (full WikiText-2 corpus, ~290K tokens)"]
["Q3_K_M","Llama-3.2-3B-Instruct","x86",10.1575,"success","wikitext2_full",290817,"Measured on x86 i5-1235U (full WikiText-2 corpus, ~290K tokens)"]
["Q4_K_M","Llama-3.2-3B-Instruct","x86",9.7466,"success","wikitext2_full",290817,"Measured on x86 i5-1235U (full WikiText-2 corpus, ~290K tokens)"]
["Q4_K_S","Llama-3.2-3B-Instruct","x86",9.7414,"success","wikitext2_full",290817,"Measured on x86 i5-1235U (full WikiText-2 corpus, ~290K tokens)"]
["Q5_K_M","Llama-3.2-3B-Instruct","x86",9.768,"success","wikitext2_full",290817,"Measured on x86 i5-1235U (full WikiText-2 corpus, ~290K tokens)"]
["Q6_K","Llama-3.2-3B-Instruct","x86",9.7366,"success","wikitext2_full",290817,"Measured on x86 i5-1235U (full WikiText-2 corpus, ~290K tokens)"]
["Q8_0","Llama-3.2-3B-Instruct","x86",9.7101,"success","wikitext2_full",290817,"Measured on x86 i5-1235U (full WikiText-2 corpus, ~290K tokens)"]