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energy_dtype_all_models

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model stringclasses 7 values	dataset stringclasses 3 values	split stringclasses 1 value	column stringclasses 1 value	prompt_tokens int64 154 5.01k	response_tokens int64 1 361	duration_prefill float64 0.02 2.4	duration_generate float64 0.06 49.3	duration_decode float64 -0 49.1	energy_prefill_cpu float64 0 0	energy_prefill_gpu float64 0 0	energy_prefill_ram float64 0 0	energy_generate_cpu float64 0 0	energy_generate_gpu float64 0 0	energy_generate_ram float64 0 0	energy_decode_cpu float64 -0 0	energy_decode_gpu float64 -0 0	energy_decode_ram float64 -0 0	dtype stringclasses 5 values
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	683	47	0.243993	1.374374	1.130381	0.000004	0.000043	0.000003	0.000018	0.000141	0.000015	0.000014	0.000098	0.000012	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,488	45	0.499466	1.581464	1.081998	0.000007	0.000089	0.000006	0.00002	0.000196	0.000017	0.000014	0.000108	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	2,999	69	0.956044	2.80457	1.848526	0.000013	0.000178	0.000011	0.000036	0.000374	0.00003	0.000023	0.000196	0.00002	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	410	38	0.147575	1.058437	0.910862	0.000002	0.000031	0.000002	0.000014	0.00011	0.000012	0.000011	0.00008	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	2,156	53	0.764414	2.05639	1.291976	0.00001	0.000143	0.000009	0.000026	0.000281	0.000022	0.000016	0.000138	0.000014	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,237	39	0.435117	1.354459	0.919342	0.000006	0.000084	0.000005	0.000018	0.000175	0.000015	0.000011	0.000091	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,414	107	0.45811	3.077416	2.619306	0.000006	0.000091	0.000005	0.000039	0.000354	0.000033	0.000033	0.000263	0.000028	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,150	57	0.360118	1.727258	1.36714	0.000005	0.000072	0.000004	0.000022	0.000206	0.000019	0.000017	0.000135	0.000014	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,965	46	0.614478	1.709729	1.09525	0.000008	0.000116	0.000007	0.000022	0.000234	0.000019	0.000014	0.000118	0.000012	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,311	38	0.429724	1.335765	0.906041	0.000006	0.000084	0.000005	0.000017	0.000175	0.000015	0.000011	0.000091	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,488	37	0.498191	1.367611	0.869421	0.000007	0.000093	0.000006	0.000018	0.000183	0.000015	0.000011	0.00009	0.000009	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	866	41	0.272807	1.259943	0.987137	0.000004	0.000055	0.000003	0.000016	0.000147	0.000014	0.000012	0.000092	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	903	21	0.328966	0.811852	0.482886	0.000005	0.000064	0.000004	0.000011	0.00011	0.000009	0.000006	0.000046	0.000005	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	989	37	0.332802	1.219953	0.887151	0.000005	0.000066	0.000004	0.000016	0.000149	0.000013	0.000011	0.000082	0.000009	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,081	42	0.355602	1.366502	1.0109	0.000005	0.00007	0.000004	0.000018	0.000165	0.000015	0.000013	0.000095	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	912	36	0.331195	1.188126	0.856932	0.000005	0.000064	0.000004	0.000015	0.000146	0.000013	0.000011	0.000081	0.000009	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,620	257	0.515917	6.946456	6.430538	0.000007	0.000101	0.000006	0.000087	0.000762	0.000074	0.00008	0.000662	0.000068	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	662	35	0.243838	1.076699	0.832861	0.000004	0.000045	0.000003	0.000014	0.000121	0.000012	0.00001	0.000076	0.000009	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,232	56	0.43171	1.790991	1.359281	0.000006	0.000084	0.000005	0.000023	0.000216	0.000019	0.000017	0.000132	0.000014	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	910	59	0.330882	1.770922	1.44004	0.000005	0.000064	0.000004	0.000023	0.000195	0.000019	0.000018	0.000131	0.000015	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	622	39	0.227856	1.162948	0.935093	0.000003	0.000042	0.000003	0.000015	0.000127	0.000013	0.000012	0.000085	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,569	43	0.515848	1.549177	1.033329	0.000007	0.000101	0.000006	0.00002	0.000206	0.000017	0.000013	0.000105	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,519	45	0.499094	1.577654	1.07856	0.000007	0.000093	0.000006	0.00002	0.000203	0.000017	0.000013	0.00011	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,063	43	0.356254	1.39219	1.035937	0.000005	0.00007	0.000004	0.000018	0.000166	0.000015	0.000013	0.000096	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,999	39	0.614787	1.547711	0.932925	0.000008	0.000118	0.000007	0.00002	0.000216	0.000017	0.000012	0.000099	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	528	34	0.181986	0.992466	0.81048	0.000003	0.000037	0.000002	0.000013	0.000109	0.000011	0.00001	0.000072	0.000009	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	955	50	0.331188	1.541652	1.210464	0.000005	0.000065	0.000004	0.00002	0.000178	0.000017	0.000015	0.000113	0.000013	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,033	40	0.353308	1.316751	0.963442	0.000005	0.00007	0.000004	0.000017	0.000158	0.000014	0.000012	0.000089	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,986	80	0.61297	2.583934	1.970964	0.000008	0.000119	0.000007	0.000033	0.000325	0.000028	0.000025	0.000205	0.000021	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,396	39	0.428661	1.363904	0.935242	0.000006	0.000084	0.000005	0.000018	0.000178	0.000015	0.000012	0.000094	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,251	52	0.433782	1.693956	1.260174	0.000006	0.000085	0.000005	0.000022	0.00021	0.000018	0.000016	0.000124	0.000013	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	749	42	0.250897	1.268853	1.017956	0.000004	0.000048	0.000003	0.000016	0.00014	0.000014	0.000013	0.000092	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	715	51	0.251235	1.49481	1.243575	0.000004	0.000047	0.000003	0.000019	0.000158	0.000016	0.000016	0.000111	0.000013	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,135	40	0.359025	1.31675	0.957724	0.000005	0.000072	0.000004	0.000017	0.000165	0.000014	0.000012	0.000093	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	554	44	0.182223	1.255461	1.073239	0.000003	0.000038	0.000002	0.000016	0.000131	0.000014	0.000013	0.000093	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,878	31	0.60188	1.343108	0.741228	0.000008	0.000115	0.000007	0.000017	0.000191	0.000015	0.000009	0.000075	0.000008	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	2,168	50	0.765893	1.997936	1.232044	0.00001	0.000144	0.000009	0.000026	0.000275	0.000022	0.000015	0.000131	0.000013	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	537	30	0.181988	0.896577	0.714589	0.000003	0.000037	0.000002	0.000012	0.000101	0.00001	0.000009	0.000064	0.000008	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,524	69	0.496668	2.20572	1.709052	0.000007	0.000095	0.000006	0.000028	0.000266	0.000024	0.000021	0.000171	0.000018	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,541	41	0.515391	1.5041	0.988708	0.000007	0.000101	0.000006	0.000019	0.000202	0.000016	0.000012	0.000101	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	973	33	0.33362	1.121056	0.787436	0.000005	0.000066	0.000004	0.000015	0.00014	0.000012	0.00001	0.000074	0.000008	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	915	38	0.328982	1.243568	0.914586	0.000005	0.000066	0.000004	0.000016	0.000152	0.000014	0.000011	0.000086	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,012	36	0.333361	1.199853	0.866492	0.000005	0.000067	0.000004	0.000016	0.000147	0.000013	0.000011	0.00008	0.000009	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,125	36	0.358433	1.220624	0.862191	0.000005	0.000072	0.000004	0.000016	0.000155	0.000013	0.000011	0.000083	0.000009	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	952	54	0.332914	1.65252	1.319606	0.000005	0.000066	0.000004	0.000021	0.00019	0.000018	0.000016	0.000123	0.000014	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,058	38	0.354533	1.270189	0.915656	0.000005	0.00007	0.000004	0.000017	0.000154	0.000014	0.000011	0.000084	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,056	75	0.354537	2.201984	1.847447	0.000005	0.00007	0.000004	0.000028	0.000242	0.000024	0.000023	0.000172	0.000019	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,214	39	0.426938	1.358301	0.931364	0.000006	0.000083	0.000005	0.000018	0.000174	0.000015	0.000012	0.000091	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	931	47	0.329486	1.46848	1.138994	0.000005	0.000065	0.000004	0.000019	0.000169	0.000016	0.000014	0.000104	0.000012	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,417	56	0.45892	1.820133	1.361213	0.000006	0.000091	0.000005	0.000023	0.000229	0.00002	0.000017	0.000138	0.000014	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,954	40	0.614061	1.57694	0.962879	0.000008	0.000117	0.000007	0.00002	0.000218	0.000017	0.000012	0.000101	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,565	41	0.516135	1.499859	0.983724	0.000007	0.000102	0.000006	0.000019	0.000204	0.000016	0.000012	0.000102	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	982	51	0.332206	1.571464	1.239257	0.000005	0.000067	0.000004	0.00002	0.000182	0.000017	0.000015	0.000115	0.000013	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	470	18	0.165109	0.569148	0.404039	0.000003	0.000033	0.000002	0.000008	0.000069	0.000007	0.000005	0.000036	0.000004	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,616	43	0.516859	1.557972	1.041113	0.000007	0.000102	0.000006	0.00002	0.000208	0.000017	0.000013	0.000106	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	942	42	0.330196	1.353357	1.023161	0.000005	0.000066	0.000004	0.000018	0.00016	0.000015	0.000013	0.000094	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	622	64	0.225986	1.797913	1.571927	0.000003	0.000043	0.000003	0.000023	0.000183	0.00002	0.00002	0.00014	0.000017	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,564	62	0.517485	2.040255	1.52277	0.000007	0.000101	0.000006	0.000026	0.000255	0.000022	0.000019	0.000154	0.000016	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	367	84	0.121543	2.206066	2.084523	0.000002	0.000026	0.000002	0.000028	0.000209	0.000024	0.000026	0.000183	0.000022	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	963	43	0.332884	1.379701	1.046817	0.000005	0.000065	0.000004	0.000018	0.00016	0.000015	0.000013	0.000095	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	974	49	0.33391	1.529269	1.19536	0.000005	0.000065	0.000004	0.00002	0.000175	0.000017	0.000015	0.000109	0.000013	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	770	38	0.262088	1.181557	0.919469	0.000004	0.000052	0.000003	0.000015	0.000134	0.000013	0.000011	0.000082	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,054	66	0.355556	1.981995	1.626439	0.000005	0.000069	0.000004	0.000025	0.000219	0.000021	0.00002	0.00015	0.000017	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,045	61	0.353969	1.858227	1.504258	0.000005	0.000069	0.000004	0.000024	0.000207	0.00002	0.000019	0.000138	0.000016	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,119	52	0.357803	1.628266	1.270463	0.000005	0.000071	0.000004	0.000021	0.000192	0.000018	0.000016	0.000121	0.000013	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,349	45	0.467291	1.562104	1.094814	0.000006	0.000091	0.000005	0.00002	0.000199	0.000017	0.000014	0.000108	0.000012	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,953	39	0.614354	1.554885	0.940532	0.000008	0.000116	0.000007	0.00002	0.000215	0.000017	0.000012	0.000098	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	901	39	0.330525	1.272304	0.941779	0.000005	0.000065	0.000004	0.000017	0.000153	0.000014	0.000012	0.000088	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	856	56	0.272178	1.648801	1.376623	0.000004	0.000055	0.000003	0.000021	0.000182	0.000018	0.000017	0.000127	0.000015	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	897	43	0.328417	1.377184	1.048767	0.000005	0.000063	0.000004	0.000018	0.000158	0.000015	0.000013	0.000095	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,025	19	0.354027	0.790882	0.436855	0.000005	0.000069	0.000004	0.000011	0.000109	0.000009	0.000005	0.000039	0.000005	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,276	61	0.433818	1.924483	1.490665	0.000006	0.000085	0.000005	0.000025	0.000231	0.000021	0.000019	0.000146	0.000016	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,095	52	0.35702	1.619204	1.262184	0.000005	0.000071	0.000004	0.000021	0.00019	0.000018	0.000016	0.000119	0.000013	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,681	39	0.539028	1.469608	0.930581	0.000007	0.000106	0.000006	0.000019	0.000205	0.000016	0.000012	0.000099	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,835	38	0.596963	1.510365	0.913403	0.000008	0.000116	0.000007	0.00002	0.000209	0.000016	0.000011	0.000094	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,265	47	0.436696	1.571399	1.134703	0.000006	0.000086	0.000005	0.00002	0.000198	0.000017	0.000014	0.000112	0.000012	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,507	45	0.494781	1.580023	1.085242	0.000007	0.000095	0.000006	0.00002	0.000204	0.000017	0.000014	0.00011	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	809	83	0.2642	2.310869	2.046668	0.000004	0.000053	0.000003	0.00003	0.000241	0.000025	0.000026	0.000187	0.000022	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	596	43	0.228086	1.270181	1.042095	0.000003	0.000042	0.000003	0.000017	0.000136	0.000014	0.000013	0.000094	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,300	44	0.427584	1.494753	1.067169	0.000006	0.000084	0.000005	0.000019	0.000189	0.000016	0.000013	0.000105	0.000011	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,536	66	0.496973	2.126616	1.629643	0.000007	0.000093	0.000006	0.000027	0.000259	0.000023	0.00002	0.000165	0.000017	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	404	25	0.147862	0.730607	0.582745	0.000002	0.000031	0.000002	0.00001	0.000082	0.000008	0.000007	0.000052	0.000006	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	561	38	0.182692	1.094463	0.911771	0.000003	0.000037	0.000002	0.000014	0.000117	0.000012	0.000011	0.00008	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,175	38	0.421425	1.330527	0.909102	0.000006	0.000083	0.000005	0.000017	0.00017	0.000015	0.000011	0.000088	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	627	33	0.227952	1.012951	0.784999	0.000003	0.000043	0.000003	0.000013	0.000114	0.000011	0.00001	0.000071	0.000008	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,684	61	0.538959	2.027064	1.488104	0.000007	0.000107	0.000006	0.000026	0.000261	0.000022	0.000019	0.000155	0.000016	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	2,216	57	0.773087	2.167691	1.394604	0.00001	0.000147	0.000009	0.000028	0.000298	0.000023	0.000017	0.000151	0.000015	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,722	55	0.542036	1.878149	1.336113	0.000007	0.000107	0.000006	0.000024	0.000247	0.00002	0.000017	0.000139	0.000014	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,476	34	0.497718	1.305346	0.807628	0.000007	0.000091	0.000006	0.000017	0.000176	0.000014	0.00001	0.000084	0.000009	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,140	69	0.360053	2.04624	1.686188	0.000005	0.000072	0.000004	0.000026	0.000236	0.000022	0.000021	0.000164	0.000018	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,772	38	0.545799	1.449173	0.903374	0.000007	0.000108	0.000006	0.000019	0.000205	0.000016	0.000011	0.000097	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,395	57	0.430625	1.820827	1.390202	0.000006	0.000085	0.000005	0.000023	0.000225	0.00002	0.000017	0.00014	0.000015	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,144	36	0.359594	1.214433	0.854839	0.000005	0.000072	0.000004	0.000016	0.000157	0.000013	0.000011	0.000085	0.000009	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,061	30	0.354204	1.064993	0.710789	0.000005	0.00007	0.000004	0.000014	0.000136	0.000012	0.000009	0.000066	0.000008	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	2,033	88	0.615931	2.79787	2.18194	0.000008	0.000121	0.000007	0.000036	0.00035	0.00003	0.000027	0.00023	0.000023	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	882	39	0.273389	1.210655	0.937265	0.000004	0.000056	0.000003	0.000016	0.000143	0.000013	0.000012	0.000087	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	995	57	0.33394	1.765567	1.431627	0.000005	0.000066	0.000004	0.000023	0.000199	0.000019	0.000018	0.000133	0.000015	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	654	117	0.243928	3.123212	2.879284	0.000004	0.000045	0.000003	0.00004	0.000302	0.000033	0.000036	0.000257	0.00003	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,169	39	0.421795	1.347945	0.92615	0.000006	0.000082	0.000005	0.000017	0.000172	0.000015	0.000012	0.00009	0.00001	float32
meta-llama/Llama-3.1-8B-Instruct	Anonyme162325/ultrachat_200k-Llama-3-8B-Instruct-with-thanks	train	conversation_with_thanks	1,443	43	0.458393	1.479562	1.021169	0.000006	0.000091	0.000005	0.000019	0.000195	0.000016	0.000013	0.000104	0.000011	float32

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