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llm-inference-benchmark

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train · 1.14k rows

Token_Count int64 6 838	TTFT stringlengths 7 13	Latency float64 0.12 28.1	Tokens-per-Second float64 6.62 110	output_length int64 100 500	input_length int64 20 5k	Library stringclasses 7 values	Model_Name stringclasses 14 values
101	0.045144272	2.27402	44.414739	100	100	vLLM	Phi-3-medium-128k-instruct
101	0.048484105	2.274614	44.403139	100	200	vLLM	Phi-3-medium-128k-instruct
101	0.056318467	2.287719	44.148786	100	20	vLLM	Phi-3-medium-128k-instruct
101	0.102443818	2.37321	42.558386	100	500	vLLM	Phi-3-medium-128k-instruct
101	0.176997787	2.465559	40.964335	100	1,000	vLLM	Phi-3-medium-128k-instruct
101	0.825906368	3.180304	31.757966	100	5,000	vLLM	Phi-3-medium-128k-instruct
201	0.044137653	4.472047	44.94586	200	20	vLLM	Phi-3-medium-128k-instruct
201	0.04723064	4.534833	44.323573	200	200	vLLM	Phi-3-medium-128k-instruct
201	0.04479936801	4.536616	44.306152	200	100	vLLM	Phi-3-medium-128k-instruct
201	0.10199441	4.664282	43.09345	200	500	vLLM	Phi-3-medium-128k-instruct
201	0.172609219	4.79588	41.910973	200	1,000	vLLM	Phi-3-medium-128k-instruct
201	0.816656183	5.580325	36.019409	200	5,000	vLLM	Phi-3-medium-128k-instruct
250	0.043257401	5.596241	44.672843	500	20	vLLM	Phi-3-medium-128k-instruct
501	0.044651522	11.412367	43.899745	500	100	vLLM	Phi-3-medium-128k-instruct
501	0.047304608	11.413479	43.895467	500	200	vLLM	Phi-3-medium-128k-instruct
501	0.102464877	11.60345	43.176815	500	500	vLLM	Phi-3-medium-128k-instruct
501	0.172667063	11.738676	42.679431	500	1,000	vLLM	Phi-3-medium-128k-instruct
501	0.814893445	12.8989	38.840522	500	5,000	vLLM	Phi-3-medium-128k-instruct
101	0.02768365	1.313954	76.867212	100	100	vLLM	Llama-3.1-8B-Instruct
101	0.029221524	1.33536	75.635041	100	200	vLLM	Llama-3.1-8B-Instruct
101	0.025186816	1.336379	75.577383	100	20	vLLM	Llama-3.1-8B-Instruct
101	0.0554551	1.350295	74.798482	100	500	vLLM	Llama-3.1-8B-Instruct
101	0.082167031	1.397812	72.255786	100	1,000	vLLM	Llama-3.1-8B-Instruct
101	0.359755225	1.700864	59.381574	100	5,000	vLLM	Llama-3.1-8B-Instruct
201	0.023182524	2.592286	77.537742	200	20	vLLM	Llama-3.1-8B-Instruct
201	0.026340465	2.616923	76.807755	200	100	vLLM	Llama-3.1-8B-Instruct
201	0.029399877	2.628856	76.459119	200	200	vLLM	Llama-3.1-8B-Instruct
201	0.054691273	2.65828	75.61279	200	500	vLLM	Llama-3.1-8B-Instruct
201	0.081364394	2.724123	73.785211	200	1,000	vLLM	Llama-3.1-8B-Instruct
201	0.359562255	3.055499	65.783028	200	5,000	vLLM	Llama-3.1-8B-Instruct
354	0.023304701	4.620406	76.616636	500	20	vLLM	Llama-3.1-8B-Instruct
501	0.027080746	6.538829	76.619218	500	100	vLLM	Llama-3.1-8B-Instruct
501	0.030551346	6.540079	76.604578	500	200	vLLM	Llama-3.1-8B-Instruct
501	0.054665561	6.627372	75.595574	500	500	vLLM	Llama-3.1-8B-Instruct
501	0.081224132	6.728935	74.45458	500	1,000	vLLM	Llama-3.1-8B-Instruct
501	0.359823873	7.118788	70.377144	500	5,000	vLLM	Llama-3.1-8B-Instruct
101	0.046650923	1.706594	59.182216	100	100	vLLM	gemma-2-9b-it
101	0.047476081	1.709919	59.067142	100	200	vLLM	gemma-2-9b-it
101	0.058324758	1.726426	58.502373	100	20	vLLM	gemma-2-9b-it
101	0.067202158	1.734532	58.228951	100	500	vLLM	gemma-2-9b-it
101	0.105792539	1.773539	56.948289	100	1,000	vLLM	gemma-2-9b-it
201	0.045273894	3.376374	59.531327	200	20	vLLM	gemma-2-9b-it
201	0.045022416	3.379063	59.483938	200	100	vLLM	gemma-2-9b-it
201	0.045659693	3.386229	59.358073	200	200	vLLM	gemma-2-9b-it
201	0.065592606	3.410904	58.928658	200	500	vLLM	gemma-2-9b-it
201	0.10335367	3.449277	58.273082	200	1,000	vLLM	gemma-2-9b-it
393	0.045238018	6.616608	59.395989	500	20	vLLM	gemma-2-9b-it
501	0.04569693199	8.445733	59.319894	500	200	vLLM	gemma-2-9b-it
501	0.045341941	8.453364	59.266345	500	100	vLLM	gemma-2-9b-it
501	0.066094973	8.47021	59.148476	500	500	vLLM	gemma-2-9b-it
501	0.103353289	8.520271	58.800948	500	1,000	vLLM	gemma-2-9b-it
101	0.026990649	1.26597	79.780724	100	100	vLLM	Mistral-7B-Instruct-v0.3
101	0.02888313201	1.268659	79.611601	100	200	vLLM	Mistral-7B-Instruct-v0.3
101	0.034484061	1.302076	77.56841	100	20	vLLM	Mistral-7B-Instruct-v0.3
101	0.05591195299	1.311952	76.984511	100	500	vLLM	Mistral-7B-Instruct-v0.3
101	0.08913653	1.358115	74.367781	100	1,000	vLLM	Mistral-7B-Instruct-v0.3
101	0.396672123	1.690036	59.762058	100	5,000	vLLM	Mistral-7B-Instruct-v0.3
201	0.022997272	2.500913	80.370646	200	20	vLLM	Mistral-7B-Instruct-v0.3
201	0.026153798	2.520996	79.730384	200	100	vLLM	Mistral-7B-Instruct-v0.3
201	0.02804247	2.523456	79.652679	200	200	vLLM	Mistral-7B-Instruct-v0.3
201	0.054644067	2.558581	78.559182	200	500	vLLM	Mistral-7B-Instruct-v0.3
201	0.08663619601	2.634485	76.295753	200	1,000	vLLM	Mistral-7B-Instruct-v0.3
201	0.388573116	2.986319	67.306948	200	5,000	vLLM	Mistral-7B-Instruct-v0.3
296	0.022691378	3.704868	79.894878	500	20	vLLM	Mistral-7B-Instruct-v0.3
501	0.02816867401	6.302652	79.490347	500	200	vLLM	Mistral-7B-Instruct-v0.3
501	0.026335219	6.313484	79.353966	500	100	vLLM	Mistral-7B-Instruct-v0.3
501	0.054847406	6.368141	78.672884	500	500	vLLM	Mistral-7B-Instruct-v0.3
501	0.087628251	6.489234	77.204793	500	1,000	vLLM	Mistral-7B-Instruct-v0.3
501	0.388242528	6.915918	72.441573	500	5,000	vLLM	Mistral-7B-Instruct-v0.3
100	0.02668707	1.276619	78.331881	100	200	vLLM	Qwen2-7B-Instruct
100	0.054920722	1.305289	76.611364	100	500	vLLM	Qwen2-7B-Instruct
100	0.054790303	1.325439	75.446712	100	20	vLLM	Qwen2-7B-Instruct
100	0.077626362	1.330568	75.155855	100	1,000	vLLM	Qwen2-7B-Instruct
100	0.32001529	1.590004	62.892907	100	100	vLLM	Qwen2-7B-Instruct
100	0.327902874	1.609277	62.139719	100	5,000	vLLM	Qwen2-7B-Instruct
200	0.046849652	2.51949	79.381154	200	500	vLLM	Qwen2-7B-Instruct
200	0.021434121	2.531483	79.005084	200	20	vLLM	Qwen2-7B-Instruct
200	0.02550183101	2.536429	78.851014	200	200	vLLM	Qwen2-7B-Instruct
200	0.025183207	2.539371	78.759664	200	100	vLLM	Qwen2-7B-Instruct
200	0.075916526	2.591832	77.165495	200	1,000	vLLM	Qwen2-7B-Instruct
200	0.328091096	2.912535	68.668693	200	5,000	vLLM	Qwen2-7B-Instruct
344	0.020699352	4.358805	78.920714	500	20	vLLM	Qwen2-7B-Instruct
500	0.047598117	6.303802	79.317212	500	500	vLLM	Qwen2-7B-Instruct
500	0.023761067	6.326592	79.031492	500	100	vLLM	Qwen2-7B-Instruct
500	0.026061574	6.341421	78.846685	500	200	vLLM	Qwen2-7B-Instruct
500	0.076095079	6.382498	78.33923	500	1,000	vLLM	Qwen2-7B-Instruct
500	0.325046691	6.769875	73.856612	500	5,000	vLLM	Qwen2-7B-Instruct
101	0.026170542	1.282207	78.770461	100	100	TGI	Llama-3.1-8B-Instruct
101	0.02245062	1.286518	78.506455	100	20	TGI	Llama-3.1-8B-Instruct
101	0.02751379	1.292504	78.142886	100	200	TGI	Llama-3.1-8B-Instruct
101	0.054330655	1.346196	75.026237	100	500	TGI	Llama-3.1-8B-Instruct
101	0.083121543	1.383127	73.022918	100	1,000	TGI	Llama-3.1-8B-Instruct
101	0.37922292	1.688171	59.828054	100	5,000	TGI	Llama-3.1-8B-Instruct
201	0.01833297	2.542261	79.063475	200	20	TGI	Llama-3.1-8B-Instruct
201	0.026053024	2.567061	78.299652	200	100	TGI	Llama-3.1-8B-Instruct
201	0.028138979	2.605021	77.158695	200	200	TGI	Llama-3.1-8B-Instruct
201	0.053878681	2.658728	75.600071	200	500	TGI	Llama-3.1-8B-Instruct
201	0.082100341	2.685256	74.8532	200	1,000	TGI	Llama-3.1-8B-Instruct
201	0.376567657	3.008813	66.803743	200	5,000	TGI	Llama-3.1-8B-Instruct
380	0.017934697	4.864137	78.122799	500	20	TGI	Llama-3.1-8B-Instruct

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Size of downloaded dataset files:

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Size of the auto-converted Parquet files:

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Number of rows:

1,143

Space using rbgo/llm-inference-benchmark 1