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train · 66 rows

path stringlengths 19 43	brainstorm float64 0 0.55	open_qa float64 0.03 0.95	closed_qa float64 0 0.55	extract float64 0 0.45	generation float64 0.01 0.52	rewrite float64 0 0.51	summarize float64 0 0.45	classify float64 0.01 0.55	reasoning_over_numerical_data float64 0.01 0.5	multi-document_synthesis float64 0 0.59	fact_checking_or_attributed_qa float64 0.02 0.6	average float64 0.01 0.5	brainstorm_rank int64 1 36	open_qa_rank int64 1 37	closed_qa_rank int64 1 34	extract_rank int64 1 36	generation_rank int64 1 36	rewrite_rank int64 1 35	summarize_rank int64 1 34	classify_rank int64 1 34	reasoning_over_numerical_data_rank int64 1 36	multi-document_synthesis_rank int64 1 37	fact_checking_or_attributed_qa_rank int64 1 36	average_rank int64 1 37	brainstorm_confi stringlengths 11 11	open_qa_confi stringlengths 11 11	closed_qa_confi stringlengths 11 11	extract_confi stringlengths 11 11	generation_confi stringlengths 11 11	rewrite_confi stringlengths 11 11	summarize_confi stringlengths 11 11	classify_confi stringlengths 11 11	reasoning_over_numerical_data_confi stringlengths 11 11	multi-document_synthesis_confi stringlengths 11 11	fact_checking_or_attributed_qa_confi stringlengths 11 11	average_confi stringlengths 13 13
meta-llama/Llama-2-13b-chat-hf	0.168	0.525	0.218	0.198	0.159	0.142	0.198	0.274	0.115	0.091	0.42	0.1936	19	21	14	14	19	19	15	20	21	20	8	20	+3.0 / -2.8	+9.8 / -9.8	+5.2 / -5.0	+4.7 / -4.5	+2.9 / -2.9	+2.7 / -2.5	+5.4 / -5.2	+5.7 / -5.5	+2.6 / -2.5	+2.6 / -2.6	+4.5 / -4.5	+1.16 / -1.16
meta-llama/Llama-2-70b-chat-hf	0.223	0.613	0.3	0.26	0.192	0.171	0.218	0.343	0.191	0.132	0.485	0.2448	16	21	2	7	16	16	7	9	16	17	8	17	+3.3 / -3.2	+9.3 / -9.8	+5.2 / -5.4	+5.0 / -5.0	+3.2 / -3.1	+2.9 / -2.8	+5.7 / -5.4	+5.7 / -6.0	+3.3 / -3.1	+3.3 / -3.1	+4.3 / -4.5	+1.22 / -1.24
meta-llama/Llama-2-7b-chat-hf	0.164	0.417	0.213	0.129	0.133	0.129	0.097	0.192	0.073	0.075	0.335	0.1563	19	35	14	14	19	19	21	20	21	20	18	25	+3.0 / -2.8	+9.8 / -9.8	+5.2 / -4.7	+4.2 / -4.0	+2.8 / -2.7	+2.5 / -2.5	+4.0 / -3.7	+5.2 / -5.0	+2.1 / -2.1	+2.4 / -2.4	+4.5 / -4.3	+1.08 / -1.06
meta-llama/Llama-3.1-70B-Instruct	0.486	0.843	0.552	0.45	0.455	0.446	0.433	0.545	0.503	0.498	0.571	0.498	1	1	1	1	1	1	1	1	1	7	1	1	+4.0 / -3.8	+6.4 / -6.9	+5.9 / -6.2	+5.7 / -5.5	+3.9 / -3.9	+3.7 / -3.7	+6.4 / -6.4	+6.0 / -6.0	+3.7 / -3.8	+4.5 / -4.6	+4.3 / -4.8	+1.47 / -1.42
meta-llama/Llama-3.1-8B-Instruct	0.467	0.794	0.406	0.324	0.363	0.367	0.329	0.43	0.299	0.358	0.393	0.385	1	5	2	7	7	7	1	1	11	12	18	8	+3.9 / -3.8	+7.4 / -7.8	+6.4 / -5.9	+5.4 / -5.4	+3.8 / -3.8	+3.5 / -3.4	+5.9 / -5.9	+6.2 / -6.2	+3.6 / -3.5	+4.4 / -4.4	+4.4 / -4.4	+1.44 / -1.43
allenai/Llama-3.1-Tulu-3-70B-DPO	0.513	0.569	0.359	0.391	0.461	0.437	0.277	0.415	0.432	0.515	0.254	0.4277	1	21	2	1	1	1	7	9	1	1	25	3	+3.9 / -3.9	+9.8 / -9.8	+6.2 / -5.9	+5.9 / -5.9	+4.0 / -4.0	+3.7 / -3.7	+5.9 / -5.9	+6.2 / -6.2	+3.8 / -3.9	+4.7 / -4.6	+3.8 / -3.9	+1.49 / -1.44
allenai/Llama-3.1-Tulu-3-70B-SFT	0.028	0.951	0.376	0.282	0.13	0.117	0.04	0.366	0.353	0.105	0.604	0.2358	25	1	2	7	19	19	21	9	5	20	1	17	+1.3 / -1.3	+3.4 / -4.4	+6.2 / -6.2	+5.4 / -5.2	+2.7 / -2.7	+2.4 / -2.4	+2.7 / -2.2	+6.7 / -6.2	+3.8 / -3.9	+3.0 / -2.8	+4.3 / -4.5	+1.28 / -1.21
allenai/Llama-3.1-Tulu-3-70B	0.506	0.583	0.351	0.381	0.444	0.441	0.287	0.428	0.421	0.502	0.26	0.4233	1	21	2	1	1	1	7	1	5	1	25	3	+3.9 / -4.0	+9.3 / -9.3	+6.2 / -5.9	+5.7 / -5.7	+4.0 / -4.1	+3.6 / -3.6	+6.2 / -5.9	+6.5 / -6.2	+3.8 / -3.8	+4.6 / -4.5	+4.1 / -3.9	+1.44 / -1.42
allenai/Llama-3.1-Tulu-3-8B-DPO	0.409	0.637	0.26	0.196	0.366	0.337	0.228	0.331	0.279	0.45	0.199	0.3323	10	21	14	14	7	7	7	9	11	7	36	9	+4.1 / -4.0	+8.8 / -9.8	+5.4 / -5.4	+5.2 / -5.0	+3.8 / -3.9	+3.6 / -3.5	+5.9 / -5.4	+6.5 / -6.2	+3.6 / -3.5	+4.6 / -4.4	+3.7 / -3.7	+1.37 / -1.39
allenai/Llama-3.1-Tulu-3-8B-SFT	0.015	0.877	0.319	0.176	0.068	0.074	0.007	0.313	0.187	0.04	0.539	0.1697	29	1	2	14	25	26	28	9	16	26	1	25	+1.0 / -0.8	+6.4 / -6.9	+6.2 / -5.7	+4.7 / -4.5	+2.2 / -2.0	+2.0 / -1.9	+1.2 / -0.7	+6.2 / -6.5	+3.2 / -3.1	+1.8 / -1.8	+4.5 / -4.5	+1.10 / -1.12
allenai/Llama-3.1-Tulu-3-8B	0.416	0.588	0.235	0.183	0.356	0.34	0.21	0.323	0.28	0.416	0.219	0.3269	10	21	14	14	7	7	7	9	11	7	25	9	+4.0 / -3.9	+9.8 / -9.8	+5.4 / -5.2	+5.0 / -4.7	+3.8 / -3.7	+3.6 / -3.4	+5.7 / -5.4	+6.2 / -6.0	+3.7 / -3.6	+4.4 / -4.5	+3.9 / -3.9	+1.42 / -1.37
mistralai/Mistral-7B-Instruct-v0.3	0.241	0.608	0.213	0.141	0.191	0.185	0.168	0.271	0.173	0.255	0.465	0.2427	16	21	14	14	16	16	15	20	16	14	8	17	+3.4 / -3.3	+9.8 / -9.8	+5.7 / -5.2	+4.5 / -4.2	+3.2 / -3.2	+2.9 / -2.8	+5.2 / -5.0	+6.0 / -5.7	+3.0 / -3.0	+4.0 / -4.0	+4.3 / -4.3	+1.27 / -1.24
mistralai/Mistral-Large-Instruct-2407	0.545	0.588	0.351	0.396	0.514	0.505	0.453	0.445	0.485	0.591	0.26	0.4762	1	21	2	1	1	1	1	1	1	1	25	1	+4.0 / -4.1	+8.8 / -8.8	+5.7 / -5.7	+5.4 / -5.7	+3.9 / -3.9	+3.6 / -3.7	+6.7 / -6.7	+6.0 / -6.2	+3.7 / -3.7	+4.5 / -4.5	+4.1 / -3.9	+1.42 / -1.41
mistralai/Mistral-Small-Instruct-2409	0.47	0.676	0.322	0.364	0.424	0.449	0.401	0.393	0.397	0.547	0.258	0.4221	1	5	2	1	7	1	1	9	5	1	25	3	+3.8 / -4.0	+8.8 / -8.8	+5.9 / -5.7	+5.9 / -5.7	+4.0 / -3.9	+3.6 / -3.7	+6.7 / -6.4	+6.0 / -5.7	+3.9 / -3.7	+4.6 / -4.6	+4.1 / -3.9	+1.46 / -1.44
allenai/OLMo-2-1124-13B-Instruct	0.377	0.598	0.309	0.203	0.348	0.36	0.322	0.44	0.259	0.446	0.284	0.3468	10	21	2	14	7	7	7	1	11	7	25	9	+3.9 / -3.8	+9.8 / -9.8	+5.9 / -5.7	+5.0 / -4.7	+3.8 / -3.8	+3.6 / -3.5	+6.2 / -6.4	+6.2 / -6.2	+3.6 / -3.5	+4.9 / -4.4	+4.3 / -4.1	+1.39 / -1.35
allenai/OLMo-2-1124-7B-Instruct	0.381	0.475	0.196	0.168	0.323	0.301	0.176	0.269	0.183	0.364	0.158	0.2772	10	21	14	14	13	12	15	20	16	12	36	15	+3.8 / -3.8	+9.8 / -9.3	+5.2 / -4.7	+5.0 / -4.7	+3.7 / -3.7	+3.4 / -3.3	+5.4 / -5.0	+5.7 / -5.7	+3.3 / -3.1	+4.4 / -4.4	+3.5 / -3.2	+1.30 / -1.32
allenai/OLMo-7B-0724-Instruct-hf	0.089	0.363	0.057	0.052	0.059	0.051	0.057	0.08	0.05	0.073	0.227	0.0883	23	35	34	26	25	29	21	34	27	20	25	32	+2.3 / -2.3	+9.8 / -9.8	+3.2 / -2.7	+3.2 / -2.7	+1.9 / -1.8	+1.6 / -1.6	+3.2 / -3.0	+3.5 / -3.2	+1.9 / -1.7	+2.4 / -2.2	+3.9 / -3.9	+0.83 / -0.81
allenai/OLMo-7B-SFT	0.012	0.804	0.134	0.069	0.067	0.044	0.015	0.224	0.047	0.024	0.5	0.1211	29	5	27	26	25	29	28	20	27	26	8	29	+0.8 / -0.8	+7.4 / -7.8	+4.5 / -4.0	+3.2 / -2.7	+2.0 / -2.0	+1.6 / -1.5	+1.5 / -1.2	+5.5 / -5.7	+1.9 / -1.7	+1.5 / -1.3	+4.5 / -4.5	+0.99 / -0.99
microsoft/Phi-3-medium-4k-instruct	0.277	0.814	0.349	0.243	0.263	0.281	0.24	0.453	0.372	0.172	0.602	0.3328	16	5	2	7	13	12	7	1	5	17	1	9	+3.7 / -3.5	+6.9 / -7.8	+5.9 / -5.7	+5.0 / -5.0	+3.5 / -3.4	+3.4 / -3.3	+5.9 / -5.7	+6.5 / -6.5	+3.8 / -3.6	+3.5 / -3.3	+4.5 / -4.5	+1.39 / -1.34
Qwen/Qwen1.5-110B-Chat	0.477	0.804	0.314	0.304	0.439	0.39	0.371	0.495	0.388	0.517	0.398	0.4297	1	5	2	7	1	7	1	1	5	1	18	3	+4.1 / -3.9	+7.8 / -7.8	+5.7 / -5.9	+5.9 / -5.7	+4.1 / -4.0	+3.6 / -3.6	+6.9 / -6.7	+6.5 / -6.5	+3.8 / -3.8	+4.7 / -4.6	+4.5 / -4.5	+1.42 / -1.42
Qwen/Qwen2-72B-Instruct	0.424	0.716	0.248	0.324	0.317	0.291	0.153	0.4	0.384	0.264	0.472	0.35	10	5	14	7	13	12	15	9	5	14	8	9	+3.8 / -3.8	+8.8 / -8.8	+5.5 / -5.2	+5.4 / -5.4	+3.6 / -3.7	+3.4 / -3.4	+5.0 / -4.7	+6.2 / -6.5	+3.8 / -3.6	+4.2 / -4.0	+4.5 / -4.5	+1.39 / -1.37
Qwen/Qwen2.5-72B-Instruct	0.514	0.716	0.302	0.408	0.477	0.46	0.364	0.435	0.456	0.575	0.234	0.4476	1	5	2	1	1	1	1	1	1	1	25	3	+3.8 / -4.0	+8.3 / -8.8	+5.7 / -5.7	+5.9 / -5.9	+4.1 / -3.9	+3.8 / -3.6	+6.2 / -6.7	+6.0 / -6.2	+3.9 / -3.8	+4.7 / -4.5	+3.9 / -3.9	+1.47 / -1.46
WizardLMTeam/WizardLM-13B-V1.2	0.169	0.632	0.228	0.171	0.158	0.147	0.077	0.336	0.097	0.113	0.439	0.1956	19	21	14	14	19	19	21	9	21	20	8	20	+3.0 / -2.8	+9.3 / -9.8	+5.4 / -5.0	+5.0 / -4.5	+3.0 / -2.8	+2.6 / -2.6	+3.5 / -3.2	+6.2 / -6.2	+2.4 / -2.3	+3.1 / -2.9	+4.5 / -4.5	+1.17 / -1.17
01-ai/Yi-1.5-34B-Chat	0.497	0.716	0.252	0.27	0.362	0.301	0.215	0.358	0.318	0.411	0.288	0.3542	1	5	14	7	7	12	7	9	11	7	25	9	+3.9 / -3.9	+7.8 / -8.3	+5.4 / -5.2	+5.4 / -5.2	+4.0 / -3.8	+3.3 / -3.4	+5.7 / -5.2	+6.2 / -6.0	+3.6 / -3.6	+4.6 / -4.4	+4.1 / -4.1	+1.40 / -1.37
databricks/dolly-v2-12b	0.003	0.755	0.124	0.074	0.028	0.02	0	0.067	0.033	0.009	0.396	0.0864	29	5	27	26	32	35	34	34	27	31	18	32	+0.5 / -0.3	+7.8 / -8.8	+4.7 / -4.5	+3.5 / -3.2	+1.3 / -1.3	+1.1 / -1.0	+0.0 / -0.0	+3.5 / -3.2	+1.6 / -1.4	+0.9 / -0.7	+4.5 / -4.3	+0.86 / -0.82
databricks/dolly-v2-7b	0.002	0.706	0.094	0.05	0.02	0.013	0	0.062	0.036	0.002	0.42	0.0822	36	5	27	26	36	35	34	34	27	37	8	32	+0.3 / -0.2	+8.8 / -9.8	+4.0 / -3.7	+3.0 / -2.5	+1.2 / -1.0	+0.9 / -0.7	+0.0 / -0.0	+3.5 / -3.0	+1.7 / -1.5	+0.4 / -0.2	+4.5 / -4.5	+0.81 / -0.81
nomic-ai/gpt4all-13b-snoozy	0.007	0.902	0.037	0.062	0.064	0.057	0.01	0.117	0.051	0.013	0.359	0.0985	29	1	34	26	25	29	28	30	27	31	18	32	+0.7 / -0.5	+5.4 / -5.9	+2.5 / -2.2	+3.2 / -3.0	+2.0 / -1.9	+1.9 / -1.7	+1.5 / -1.0	+4.5 / -4.2	+2.0 / -1.8	+1.1 / -0.9	+4.3 / -4.3	+0.92 / -0.88
TheBloke/koala-13B-HF	0.01	0.701	0.158	0.084	0.043	0.05	0.01	0.164	0.052	0.022	0.398	0.1044	29	5	27	26	32	29	28	30	27	31	18	29	+0.8 / -0.7	+8.3 / -9.3	+5.0 / -4.7	+3.5 / -3.0	+1.7 / -1.5	+1.7 / -1.6	+1.5 / -1.0	+5.2 / -4.7	+1.9 / -1.9	+1.3 / -1.3	+4.3 / -4.1	+0.92 / -0.89
TheBloke/koala-7B-HF	0.004	0.657	0.082	0.079	0.033	0.034	0	0.097	0.031	0.013	0.387	0.0861	29	5	27	26	32	29	34	30	36	31	18	32	+0.6 / -0.4	+8.8 / -9.8	+3.5 / -3.2	+3.5 / -3.2	+1.5 / -1.3	+1.4 / -1.3	+0.0 / -0.0	+4.2 / -3.7	+1.5 / -1.4	+1.1 / -0.9	+4.3 / -4.3	+0.83 / -0.82
mosaicml/mpt-7b-chat	0.005	0.73	0.121	0.037	0.05	0.039	0.015	0.211	0.041	0.013	0.474	0.1078	29	5	27	36	32	29	28	20	27	31	8	29	+0.7 / -0.5	+8.3 / -8.8	+4.2 / -4.0	+2.5 / -2.0	+1.8 / -1.7	+1.4 / -1.4	+1.7 / -1.2	+5.7 / -5.5	+1.8 / -1.6	+1.1 / -0.9	+4.8 / -4.5	+0.92 / -0.89
OpenAssistant/oasst-sft-1-pythia-12b	0.002	0.623	0.02	0.015	0.017	0.006	0	0.032	0.024	0.009	0.232	0.0507	36	21	34	36	36	35	34	34	36	31	25	37	+0.3 / -0.2	+9.3 / -9.3	+2.0 / -1.5	+1.7 / -1.2	+1.2 / -1.0	+0.6 / -0.4	+0.0 / -0.0	+2.5 / -2.2	+1.3 / -1.1	+0.9 / -0.7	+3.9 / -3.7	+0.67 / -0.62
allenai/tulu-2-dpo-13b	0.093	0.686	0.178	0.136	0.133	0.156	0.092	0.249	0.109	0.102	0.502	0.184	23	5	14	14	19	19	21	20	21	20	8	20	+2.3 / -2.3	+8.8 / -8.8	+5.0 / -5.0	+4.5 / -4.2	+2.8 / -2.7	+2.7 / -2.6	+4.0 / -3.7	+5.7 / -5.5	+2.5 / -2.4	+2.9 / -2.6	+4.5 / -4.5	+1.10 / -1.14
allenai/tulu-2-dpo-70b	0.175	0.608	0.265	0.21	0.229	0.215	0.119	0.308	0.232	0.181	0.556	0.2583	19	21	14	14	16	16	15	9	16	17	1	15	+2.9 / -2.8	+9.8 / -9.8	+5.7 / -5.4	+5.2 / -5.0	+3.2 / -3.3	+3.1 / -3.1	+4.7 / -4.2	+6.0 / -5.7	+3.5 / -3.3	+3.5 / -3.3	+4.8 / -4.8	+1.29 / -1.29
allenai/tulu-2-dpo-7b	0.049	0.559	0.146	0.099	0.1	0.099	0.069	0.184	0.054	0.06	0.465	0.138	25	21	27	26	25	26	21	20	27	26	8	27	+1.8 / -1.6	+9.8 / -9.8	+4.7 / -4.2	+4.0 / -3.5	+2.5 / -2.3	+2.2 / -2.1	+3.5 / -3.2	+5.2 / -5.0	+1.9 / -1.8	+2.2 / -2.0	+4.5 / -4.5	+1.00 / -1.00
allenai/tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm	0.377	0.216	0.064	0.109	0.164	0.155	0.161	0.124	0.117	0.219	0.214	0.1898	10	37	34	26	19	19	15	30	21	14	25	20	+3.9 / -3.8	+7.8 / -7.8	+3.5 / -3.0	+4.2 / -3.7	+3.0 / -2.8	+2.8 / -2.6	+5.2 / -4.7	+4.5 / -4.5	+2.6 / -2.6	+3.8 / -3.8	+3.7 / -3.9	+1.19 / -1.15
lmsys/vicuna-13b-v1.5	0.041	0.814	0.265	0.139	0.102	0.119	0.079	0.256	0.106	0.055	0.558	0.1739	25	5	14	14	25	19	21	20	21	26	1	20	+1.7 / -1.6	+6.9 / -7.8	+5.4 / -5.4	+4.5 / -4.0	+2.5 / -2.3	+2.4 / -2.4	+4.0 / -3.2	+6.0 / -5.7	+2.6 / -2.5	+2.2 / -2.0	+4.5 / -4.8	+1.12 / -1.07
lmsys/vicuna-7b-v1.5	0.029	0.755	0.203	0.106	0.082	0.07	0.027	0.241	0.067	0.042	0.528	0.1428	25	5	14	26	25	26	28	20	27	26	1	27	+1.4 / -1.3	+7.8 / -8.8	+5.4 / -5.0	+4.0 / -3.5	+2.2 / -2.2	+2.0 / -1.9	+2.2 / -2.0	+5.7 / -5.7	+2.1 / -2.1	+2.0 / -1.8	+4.5 / -4.3	+1.07 / -1.02
meta-llama/Llama-2-13b-chat-hf	0.21	0.593	0.176	0.134	0.167	0.136	0.188	0.323	0.122	0.121	0.409	0.2013	13	19	14	12	13	13	5	5	13	15	9	13	+3.3 / -3.3	+9.3 / -9.3	+4.7 / -4.5	+4.2 / -4.0	+3.0 / -3.0	+2.6 / -2.5	+5.4 / -5.0	+6.0 / -5.7	+2.6 / -2.4	+3.1 / -2.9	+4.5 / -4.3	+1.22 / -1.20
meta-llama/Llama-2-70b-chat-hf	0.218	0.662	0.312	0.173	0.197	0.183	0.153	0.343	0.172	0.166	0.488	0.2431	13	1	1	5	9	9	10	5	10	12	1	10	+3.2 / -3.3	+8.3 / -9.3	+5.7 / -5.7	+5.0 / -4.5	+3.3 / -3.1	+2.9 / -2.9	+5.2 / -4.7	+6.0 / -6.0	+3.1 / -3.0	+3.5 / -3.3	+4.7 / -4.7	+1.28 / -1.26
meta-llama/Llama-2-7b-chat-hf	0.171	0.475	0.2	0.119	0.152	0.131	0.121	0.187	0.088	0.106	0.355	0.169	13	19	6	12	13	13	10	13	13	15	9	15	+3.0 / -2.8	+9.3 / -9.3	+4.7 / -5.0	+4.2 / -4.0	+2.9 / -2.7	+2.6 / -2.5	+4.5 / -4.2	+5.0 / -4.7	+2.3 / -2.2	+2.9 / -2.9	+4.5 / -4.3	+1.13 / -1.05
meta-llama/Llama-3.1-70B-Instruct	0.437	0.77	0.408	0.369	0.431	0.424	0.443	0.532	0.458	0.481	0.498	0.456	5	1	1	1	3	3	1	1	1	4	1	1	+3.9 / -3.9	+7.8 / -8.3	+5.9 / -5.9	+5.7 / -5.7	+3.8 / -3.9	+3.6 / -3.4	+6.9 / -6.4	+5.7 / -6.0	+3.8 / -3.6	+4.6 / -4.6	+4.5 / -4.6	+1.48 / -1.41
meta-llama/Llama-3.1-8B-Instruct	0.402	0.652	0.304	0.255	0.324	0.301	0.3	0.378	0.235	0.411	0.316	0.3334	5	1	1	5	7	5	5	5	8	4	15	8	+3.9 / -3.9	+9.3 / -9.3	+5.9 / -5.7	+5.4 / -5.2	+3.9 / -3.7	+3.4 / -3.3	+6.4 / -5.9	+6.5 / -6.0	+3.4 / -3.3	+4.6 / -4.6	+4.3 / -4.1	+1.40 / -1.40
mistralai/Mistral-7B-Instruct-v0.3	0.298	0.618	0.196	0.134	0.194	0.167	0.168	0.226	0.18	0.285	0.403	0.2425	9	1	6	12	9	9	10	13	10	9	9	10	+3.8 / -3.5	+8.8 / -9.8	+5.2 / -5.0	+4.7 / -4.2	+3.2 / -3.1	+2.8 / -2.9	+5.4 / -5.0	+5.7 / -5.5	+3.3 / -3.0	+4.2 / -4.0	+4.5 / -4.3	+1.27 / -1.28
mistralai/Mistral-Large-Instruct-2407	0.548	0.618	0.287	0.347	0.522	0.499	0.411	0.458	0.461	0.592	0.24	0.4656	1	1	6	1	1	1	1	1	1	1	15	1	+3.8 / -4.0	+9.8 / -9.8	+5.9 / -5.7	+5.9 / -5.9	+3.9 / -4.0	+3.6 / -3.7	+6.4 / -6.7	+6.0 / -6.0	+3.7 / -3.7	+4.4 / -4.6	+3.9 / -3.7	+1.46 / -1.46
mistralai/Mistral-Small-Instruct-2409	0.492	0.603	0.302	0.235	0.435	0.408	0.366	0.371	0.407	0.564	0.225	0.4079	1	1	1	5	3	3	1	5	1	1	22	4	+4.0 / -3.9	+9.3 / -9.8	+5.7 / -5.4	+5.4 / -5.2	+4.0 / -3.8	+3.6 / -3.6	+6.7 / -6.4	+6.2 / -6.2	+3.8 / -3.7	+4.4 / -4.5	+3.9 / -3.7	+1.43 / -1.43
allenai/OLMo-7B-SFT	0.065	0.176	0.04	0.037	0.04	0.033	0.05	0.08	0.05	0.073	0.173	0.0669	20	26	21	21	21	21	19	21	19	15	22	22	+2.0 / -1.8	+7.8 / -6.9	+2.7 / -2.2	+2.5 / -2.2	+1.7 / -1.5	+1.4 / -1.3	+3.0 / -3.0	+3.7 / -3.2	+1.9 / -1.8	+2.4 / -2.2	+3.5 / -3.5	+0.76 / -0.74
allenai/OLMo-7B-SFT	0.012	0.721	0.139	0.045	0.048	0.024	0.012	0.177	0.038	0.029	0.439	0.1029	22	1	14	21	21	21	22	13	19	21	1	21	+0.8 / -0.8	+8.3 / -8.8	+4.7 / -4.5	+2.7 / -2.2	+1.8 / -1.7	+1.1 / -1.1	+1.7 / -1.2	+5.5 / -5.2	+1.7 / -1.5	+1.5 / -1.5	+4.5 / -4.3	+0.94 / -0.88
microsoft/Phi-3-medium-4k-instruct	0.32	0.75	0.275	0.163	0.25	0.208	0.114	0.386	0.34	0.212	0.489	0.2951	9	1	6	5	9	9	10	5	6	9	1	9	+3.7 / -3.7	+8.3 / -8.8	+5.9 / -5.4	+4.7 / -4.5	+3.5 / -3.3	+3.0 / -2.9	+4.5 / -4.2	+6.5 / -6.2	+3.8 / -3.6	+3.8 / -3.5	+4.5 / -4.8	+1.34 / -1.32
Qwen/Qwen1.5-110B-Chat	0.452	0.775	0.28	0.255	0.367	0.321	0.3	0.413	0.375	0.49	0.346	0.3827	5	1	6	5	3	5	5	1	6	4	9	4	+3.9 / -3.9	+7.8 / -7.8	+6.2 / -5.7	+5.7 / -5.4	+3.8 / -3.8	+3.5 / -3.4	+6.2 / -6.2	+6.5 / -6.5	+3.8 / -3.8	+4.6 / -4.6	+4.3 / -4.3	+1.43 / -1.43
Qwen/Qwen2-72B-Instruct	0.454	0.74	0.257	0.275	0.34	0.326	0.22	0.393	0.398	0.342	0.387	0.3659	5	1	6	1	7	5	5	5	1	7	9	6	+4.1 / -4.0	+7.8 / -8.3	+5.7 / -5.9	+5.9 / -5.7	+3.8 / -3.7	+3.4 / -3.4	+5.7 / -5.4	+6.2 / -6.5	+3.9 / -3.6	+4.4 / -4.2	+4.5 / -4.3	+1.43 / -1.41
Qwen/Qwen2.5-72B-Instruct	0.523	0.642	0.292	0.334	0.47	0.453	0.364	0.42	0.454	0.574	0.225	0.4391	1	1	1	1	1	1	1	1	1	1	22	1	+3.8 / -3.9	+9.3 / -9.8	+5.7 / -5.9	+6.2 / -6.2	+4.0 / -4.0	+3.6 / -3.6	+6.4 / -6.4	+6.2 / -6.2	+3.7 / -3.8	+4.6 / -4.4	+3.9 / -3.7	+1.43 / -1.51
WizardLMTeam/WizardLM-13B-V1.2	0.189	0.5	0.119	0.084	0.165	0.137	0.072	0.216	0.078	0.104	0.307	0.1618	13	19	14	12	13	13	19	13	13	15	15	15	+3.3 / -3.1	+9.8 / -9.8	+4.5 / -4.0	+3.7 / -3.2	+3.2 / -3.0	+2.5 / -2.4	+3.7 / -3.2	+5.5 / -5.2	+2.1 / -2.1	+2.9 / -2.9	+4.1 / -4.1	+1.08 / -1.06
01-ai/Yi-1.5-34B-Chat	0.509	0.593	0.243	0.193	0.361	0.304	0.208	0.291	0.291	0.386	0.268	0.3377	1	19	6	5	3	5	5	5	8	7	15	6	+4.0 / -4.0	+8.8 / -9.8	+5.4 / -5.4	+5.2 / -5.0	+3.8 / -3.8	+3.4 / -3.3	+5.7 / -5.4	+6.0 / -5.7	+3.6 / -3.5	+4.6 / -4.3	+4.1 / -4.1	+1.42 / -1.36
databricks/dolly-v2-7b	0	0.029	0	0	0.007	0.001	0	0.005	0.007	0.009	0.017	0.0059	28	29	28	28	27	27	25	29	26	23	28	28	+0.0 / -0.0	+3.9 / -2.9	+0.0 / -0.0	+0.0 / -0.0	+0.7 / -0.5	+0.3 / -0.1	+0.0 / -0.0	+1.0 / -0.5	+0.7 / -0.6	+0.9 / -0.7	+1.3 / -1.1	+0.23 / -0.23
databricks/dolly-v2-12b	0	0.059	0	0	0.008	0.001	0	0.015	0.02	0.009	0.022	0.0093	28	26	28	28	27	27	25	25	26	23	28	28	+0.0 / -0.0	+4.9 / -3.9	+0.0 / -0.0	+0.0 / -0.0	+0.8 / -0.7	+0.3 / -0.1	+0.0 / -0.0	+2.0 / -1.5	+1.2 / -1.0	+0.9 / -0.7	+1.3 / -1.3	+0.31 / -0.27
nomic-ai/gpt4all-13b-snoozy	0.008	0.77	0.015	0.022	0.043	0.029	0.002	0.045	0.043	0.015	0.21	0.0641	22	1	26	21	21	21	22	25	19	23	22	25	+0.8 / -0.6	+7.8 / -8.3	+1.7 / -1.2	+2.0 / -1.7	+1.7 / -1.5	+1.3 / -1.1	+0.5 / -0.2	+3.0 / -2.5	+1.7 / -1.7	+1.1 / -1.1	+3.7 / -3.7	+0.74 / -0.72
TheBloke/koala-13B-HF	0.009	0.49	0.064	0.027	0.045	0.031	0.012	0.1	0.032	0.024	0.312	0.0746	22	19	21	21	21	21	22	21	19	23	15	22	+0.8 / -0.7	+9.8 / -9.8	+3.2 / -3.0	+2.2 / -1.7	+1.7 / -1.5	+1.3 / -1.1	+1.5 / -1.0	+4.0 / -3.7	+1.5 / -1.3	+1.5 / -1.3	+4.5 / -4.3	+0.82 / -0.75
TheBloke/koala-7B-HF	0.007	0.598	0.015	0.022	0.027	0.021	0	0.04	0.028	0.018	0.268	0.0607	22	1	26	21	21	21	25	25	26	23	15	25	+0.7 / -0.5	+9.8 / -9.8	+1.7 / -1.2	+2.0 / -1.7	+1.3 / -1.2	+1.1 / -1.0	+0.0 / -0.0	+2.7 / -2.5	+1.5 / -1.3	+1.3 / -1.1	+4.1 / -3.9	+0.70 / -0.70
mosaicml/mpt-7b-chat	0.007	0.696	0.062	0.02	0.04	0.034	0	0.124	0.037	0.013	0.32	0.0795	22	1	21	21	21	21	25	21	19	23	15	22	+0.7 / -0.5	+8.8 / -9.8	+3.2 / -3.0	+2.0 / -1.5	+1.7 / -1.5	+1.4 / -1.3	+0.0 / -0.0	+5.0 / -4.2	+1.7 / -1.5	+1.1 / -0.9	+4.3 / -4.3	+0.82 / -0.76
OpenAssistant/oasst-sft-1-pythia-12b	0.003	0.618	0.022	0.015	0.015	0.009	0	0.042	0.028	0.009	0.206	0.0493	22	1	21	21	27	27	25	25	26	23	22	27	+0.5 / -0.3	+9.8 / -9.8	+2.2 / -1.7	+2.0 / -1.5	+1.0 / -0.8	+0.7 / -0.6	+0.0 / -0.0	+3.0 / -2.5	+1.5 / -1.3	+0.9 / -0.7	+3.7 / -3.5	+0.67 / -0.65
allenai/OLMo-7B-SFT	0.148	0.529	0.161	0.104	0.148	0.146	0.084	0.206	0.099	0.135	0.437	0.179	17	19	14	12	13	13	10	13	13	12	1	13	+2.8 / -2.8	+9.8 / -8.8	+4.7 / -4.7	+4.0 / -3.7	+3.0 / -2.8	+2.6 / -2.5	+4.0 / -3.5	+5.5 / -5.0	+2.4 / -2.4	+3.1 / -3.1	+4.5 / -4.3	+1.12 / -1.14
allenai/tulu-2-dpo-70b	0.255	0.608	0.205	0.183	0.236	0.224	0.141	0.299	0.189	0.202	0.481	0.2572	9	1	6	5	9	9	10	5	10	12	1	10	+3.4 / -3.5	+8.8 / -9.8	+5.2 / -5.0	+5.2 / -4.7	+3.4 / -3.3	+3.1 / -3.1	+5.0 / -4.5	+6.2 / -6.0	+3.2 / -3.1	+3.8 / -3.8	+4.3 / -4.5	+1.28 / -1.27
allenai/tulu-2-dpo-13b	0.104	0.51	0.099	0.064	0.105	0.094	0.082	0.154	0.063	0.076	0.372	0.1325	17	19	14	12	19	19	10	13	19	15	9	19	+2.5 / -2.3	+9.8 / -9.8	+4.0 / -3.5	+3.2 / -3.0	+2.5 / -2.3	+2.3 / -2.1	+4.0 / -3.5	+5.2 / -4.7	+2.1 / -1.9	+2.5 / -2.3	+4.3 / -4.1	+1.02 / -1.01
allenai/tulu-v2.5-ppo-13b-uf-mean-70b-uf-rm	0.301	0.137	0.062	0.089	0.141	0.105	0.116	0.082	0.093	0.263	0.169	0.1571	9	26	21	12	13	13	10	21	13	9	22	15	+3.7 / -3.7	+6.9 / -6.9	+3.0 / -3.0	+4.0 / -3.5	+2.7 / -2.8	+2.3 / -2.1	+4.2 / -4.2	+3.7 / -3.2	+2.5 / -2.3	+4.2 / -4.0	+3.5 / -3.2	+1.12 / -1.07
lmsys/vicuna-7b-v1.5	0.101	0.77	0.171	0.094	0.117	0.11	0.094	0.236	0.085	0.077	0.511	0.1697	17	1	14	12	13	13	10	13	13	15	1	15	+2.5 / -2.4	+7.8 / -8.3	+4.7 / -4.7	+4.0 / -3.5	+2.7 / -2.5	+2.4 / -2.3	+4.2 / -3.7	+5.7 / -5.7	+2.3 / -2.1	+2.4 / -2.4	+4.8 / -4.5	+1.13 / -1.12
lmsys/vicuna-7b-v1.5	0.055	0.696	0.131	0.077	0.09	0.081	0.042	0.172	0.058	0.064	0.468	0.1352	20	1	14	12	19	19	19	13	19	21	1	19	+1.8 / -1.8	+8.8 / -8.8	+4.5 / -4.2	+3.7 / -3.2	+2.3 / -2.2	+2.1 / -1.9	+2.7 / -2.5	+5.5 / -5.0	+2.1 / -1.9	+2.2 / -2.2	+4.5 / -4.5	+1.05 / -1.01

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