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llm-jp
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train · 216 rows

model_type stringclasses 4 values	model stringlengths 13 51	AVG float64 0.04 0.7	CG float64 0 0.68	EL float64 0 0.61	FA float64 0 0.35	HE float64 0 0.78	MC float64 0 0.92	MR float64 0 0.95	MT float64 0.3 0.86	NLI float64 0 0.82	QA float64 0.01 0.74	RC float64 0.04 0.93	SUM float64 0 0.28	aio_char_f1 float64 0 0.89	alt-e-to-j_bert_score_ja_f1 float64 0.26 0.88	alt-e-to-j_bleu_ja float64 0.32 15.5	alt-e-to-j_comet_wmt22 float64 0.29 0.92	alt-j-to-e_bert_score_en_f1 float64 0.37 0.96	alt-j-to-e_bleu_en float64 0.03 19.7	alt-j-to-e_comet_wmt22 float64 0.3 0.89	chabsa_set_f1 float64 0 0.61	commonsensemoralja_exact_match float64 0 0.94	jamp_exact_match float64 0 0.71	janli_exact_match float64 0 0.95	jcommonsenseqa_exact_match float64 0 0.96	jemhopqa_char_f1 float64 0 0.65	jmmlu_exact_match float64 0 0.76	jnli_exact_match float64 0 0.9	jsem_exact_match float64 0 0.81	jsick_exact_match float64 0 0.87	jsquad_char_f1 float64 0.04 0.93	jsts_pearson float64 -0.09 0.91	jsts_spearman float64 -0.11 0.88	kuci_exact_match float64 0 0.86	mawps_exact_match float64 0 0.95	mbpp_code_exec float64 0 0.68	mbpp_pylint_check float64 0 0.99	mmlu_en_exact_match float64 0 0.81	niilc_char_f1 float64 0.01 0.68	wiki_coreference_set_f1 float64 0 0.13	wiki_dependency_set_f1 float64 0 0.54	wiki_ner_set_f1 float64 0 0.14	wiki_pas_set_f1 float64 0 0.11	wiki_reading_char_f1 float64 0.02 0.91	wikicorpus-e-to-j_bert_score_ja_f1 float64 0.15 0.87	wikicorpus-e-to-j_bleu_ja float64 0.17 18.2	wikicorpus-e-to-j_comet_wmt22 float64 0.3 0.87	wikicorpus-j-to-e_bert_score_en_f1 float64 0.26 0.92	wikicorpus-j-to-e_bleu_en float64 0.03 13	wikicorpus-j-to-e_comet_wmt22 float64 0.29 0.78	xlsum_ja_bert_score_ja_f1 float64 0 0.79	xlsum_ja_bleu_ja float64 0 7.25	xlsum_ja_rouge1 float64 0.05 52.6	xlsum_ja_rouge2 float64 0.01 28	xlsum_ja_rouge2_scaling float64 0 0.28	xlsum_ja_rougeLsum float64 0.05 44.6	architecture stringclasses 8 values	precision stringclasses 2 values	license stringclasses 11 values	params float64 0.14 70.6	likes int64 0 4.03k	revision stringclasses 1 value	num_few_shot int64 0 4	add_special_tokens stringclasses 2 values	llm_jp_eval_version stringclasses 1 value	vllm_version stringclasses 1 value
⭕ : instruction-tuned	llm-jp/llm-jp-3-1.8b-instruct	0.3923	0.002	0.4046	0.1919	0.2842	0.3697	0.418	0.7999	0.4786	0.4957	0.834	0.0371	0.6003	0.8445	10.6032	0.8842	0.9337	12.773	0.8448	0.4046	0.5421	0.3822	0.4847	0.3101	0.4307	0.2895	0.5838	0.6976	0.2446	0.834	0.4386	0.5179	0.257	0.418	0.002	0.0141	0.2789	0.4561	0.0288	0.172	0.0177	0.0139	0.7272	0.7723	7.495	0.7693	0.8829	9.2901	0.7011	0.6449	1.1871	18.1463	3.7324	0.0371	15.2299	LlamaForCausalLM	bfloat16	apache-2.0	1.868	20	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	llm-jp/llm-jp-3-1.8b-instruct	0.2147	0.002	0	0.0442	0.1461	0.2648	0	0.7888	0.2062	0.1956	0.6768	0.0371	0.2575	0.8361	10.3819	0.8796	0.931	12.1086	0.8421	0	0.5321	0.1724	0.0028	0	0.0767	0.0263	0.2424	0.0265	0.587	0.6768	-0.0876	-0.0888	0.2624	0	0.002	0.0141	0.2659	0.2526	0	0	0	0	0.2208	0.7485	6.3026	0.7504	0.873	7.9213	0.683	0.6449	1.1871	18.1463	3.7324	0.0371	15.2299	LlamaForCausalLM	bfloat16	apache-2.0	1.868	20	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	llm-jp/llm-jp-3-13b-instruct	0.5462	0.0843	0.4843	0.2782	0.4739	0.8438	0.71	0.8393	0.669	0.6097	0.9014	0.1143	0.8415	0.8618	13.1859	0.9068	0.9476	14.866	0.8726	0.4843	0.8903	0.5575	0.6403	0.8928	0.3473	0.4651	0.7309	0.7481	0.6682	0.9014	0.7957	0.7949	0.7484	0.71	0.0843	0.2731	0.4827	0.6403	0.0396	0.4027	0.0354	0.047	0.8665	0.82	10.6349	0.8302	0.9031	10.9633	0.7478	0.7015	2.9771	29.3132	11.4455	0.1143	25.0207	LlamaForCausalLM	bfloat16	apache-2.0	13.708	16	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	llm-jp/llm-jp-3-13b-instruct	0.412	0.0843	0.0104	0.1583	0.2727	0.7287	0.374	0.8316	0.6881	0.3822	0.8868	0.1143	0.6447	0.8561	12.9677	0.9014	0.9483	15.0672	0.8752	0.0104	0.7492	0.5431	0.6014	0.8704	0.0655	0.1519	0.7896	0.7424	0.7642	0.8868	0.8204	0.8177	0.5663	0.374	0.0843	0.2731	0.3935	0.4366	0	0.0025	0	0	0.7892	0.7918	8.7021	0.8163	0.8927	9.9921	0.7335	0.7015	2.9771	29.3132	11.4455	0.1143	25.0207	LlamaForCausalLM	bfloat16	apache-2.0	13.708	16	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	llm-jp/llm-jp-3-3.7b-instruct	0.4597	0	0.3691	0.2398	0.3628	0.5839	0.58	0.822	0.551	0.5709	0.8488	0.1283	0.7141	0.8504	10.634	0.8959	0.9388	13.2399	0.8562	0.3691	0.7791	0.4282	0.5236	0.5407	0.4693	0.3555	0.6845	0.7374	0.3816	0.8488	0.7156	0.6453	0.4321	0.58	0	0	0.37	0.5293	0.0142	0.3409	0.0088	0.0575	0.7774	0.7961	8.5097	0.8052	0.8954	9.6317	0.7307	0.7119	2.9956	35.8746	12.8065	0.1283	29.3662	LlamaForCausalLM	bfloat16	apache-2.0	3.783	7	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	llm-jp/llm-jp-3-3.7b-instruct	0.3016	0	0	0.115	0.1869	0.4517	0.01	0.8106	0.5867	0.2262	0.8022	0.1283	0.3361	0.8374	10.3631	0.8874	0.939	13.6521	0.8578	0	0.5321	0.3649	0.6028	0.4209	0.0591	0.0181	0.6002	0.7115	0.6539	0.8022	0.2802	0.3889	0.4022	0.01	0	0	0.3556	0.2835	0	0	0	0	0.5751	0.7703	7.1206	0.7906	0.8781	8.625	0.7064	0.7119	2.9956	35.8746	12.8065	0.1283	29.3662	LlamaForCausalLM	bfloat16	apache-2.0	3.783	7	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-32B-Instruct	0.6553	0.5281	0.5894	0.2737	0.7757	0.8966	0.944	0.8479	0.8106	0.541	0.9047	0.097	0.553	0.8644	13.2738	0.9081	0.9554	17.7737	0.8859	0.5894	0.8975	0.6724	0.8431	0.958	0.5672	0.7515	0.8973	0.7835	0.8569	0.9047	0.8895	0.877	0.8343	0.944	0.5281	0.755	0.8	0.5029	0.0543	0.3837	0	0.1104	0.8204	0.8291	10.9975	0.8389	0.9045	11.1213	0.7585	0.6926	2.7959	25.855	9.7054	0.097	22.5323	Qwen2ForCausalLM	bfloat16	apache-2.0	32.764	120	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-32B-Instruct	0.5443	0.5281	0.107	0.1453	0.568	0.8739	0.79	0.8386	0.7647	0.3873	0.8871	0.097	0.4392	0.8489	11.3776	0.9009	0.9511	15.766	0.8797	0.107	0.9046	0.6494	0.7944	0.9303	0.2681	0.5561	0.82	0.798	0.7615	0.8871	0.8951	0.8761	0.7869	0.79	0.5281	0.755	0.58	0.4547	0.0281	0.0071	0.0354	0.0058	0.6499	0.8004	8.7234	0.8268	0.8969	9.5439	0.7471	0.6926	2.7959	25.855	9.7054	0.097	22.5323	Qwen2ForCausalLM	bfloat16	apache-2.0	32.764	120	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-7B-Instruct	0.5304	0.0221	0.498	0.1822	0.6385	0.8416	0.796	0.7302	0.7371	0.4006	0.8899	0.0983	0.3771	0.8222	11.2802	0.826	0.9327	15.5139	0.8347	0.498	0.859	0.6034	0.7431	0.9151	0.4305	0.6103	0.8295	0.6989	0.8106	0.8899	0.8729	0.8468	0.7507	0.796	0.0221	0.012	0.6666	0.3941	0.0449	0.2922	0.0354	0.0773	0.4614	0.7288	8.1478	0.6153	0.8592	9.0236	0.6446	0.692	2.1112	29.1184	9.8419	0.0983	23.7063	Qwen2ForCausalLM	bfloat16	apache-2.0	7.616	271	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-7B-Instruct	0.2896	0.0221	0.2081	0.0822	0.4418	0.496	0.292	0.6415	0.2336	0.2228	0.4478	0.0983	0.2136	0.7191	7.042	0.7345	0.831	11.0762	0.5875	0.2081	0.0143	0.5029	0	0.8213	0.2105	0.4936	0.3246	0	0.3408	0.4478	0.875	0.8434	0.6524	0.292	0.0221	0.012	0.3899	0.2442	0.01	0.0234	0	0	0.3778	0.6795	6.3014	0.6785	0.8165	7.1661	0.5654	0.692	2.1112	29.1184	9.8419	0.0983	23.7063	Qwen2ForCausalLM	bfloat16	apache-2.0	7.616	271	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	weblab-GENIAC/Tanuki-8B-dpo-v1.0	0.3779	0.0783	0.398	0.1031	0.3067	0.4096	0.3	0.8275	0.5318	0.4266	0.6665	0.1083	0.6303	0.8351	10.0227	0.899	0.938	13.2353	0.8598	0.398	0.6964	0.4368	0.5431	0.2717	0.2847	0.3152	0.5965	0.661	0.4216	0.6665	0.3897	0.3894	0.2606	0.3	0.0783	0.2088	0.2983	0.3647	0	0.0212	0	0.0096	0.4849	0.7795	7.8083	0.8166	0.8903	8.5388	0.7346	0.7025	2.3051	34.8952	10.8447	0.1083	28.3762	LlamaForCausalLM	bfloat16	apache-2.0	7.512	29	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	weblab-GENIAC/Tanuki-8B-dpo-v1.0	0.2122	0.0783	0	0.0873	0	0.1774	0	0.829	0.414	0.1057	0.534	0.1083	0.0853	0.8373	10.8897	0.9	0.9427	12.9964	0.8684	0	0.5321	0.3563	0.3861	0	0.098	0	0.1553	0.5997	0.5726	0.534	0	0	0	0	0.0783	0.2088	0	0.1337	0	0	0	0	0.4366	0.7729	6.9734	0.8122	0.8905	7.4821	0.7355	0.7025	2.3051	34.8952	10.8447	0.1083	28.3762	LlamaForCausalLM	bfloat16	apache-2.0	7.512	29	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.1	0.62	0.0201	0.5529	0.3371	0.7313	0.9057	0.932	0.8565	0.7605	0.7131	0.9252	0.0856	0.8606	0.876	14.5217	0.9157	0.9603	19.3015	0.8924	0.5529	0.9296	0.6523	0.8069	0.9589	0.619	0.7063	0.7477	0.7923	0.8033	0.9252	0.878	0.8477	0.8287	0.932	0.0201	0.0422	0.7562	0.6597	0.0906	0.4663	0.1327	0.0903	0.9053	0.8501	13.863	0.8529	0.9137	12.9227	0.7651	0.6804	3.3097	20.1389	8.5601	0.0856	18.0061	LlamaForCausalLM	bfloat16	llama3.1;gemma	70.554	3	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.1	0.507	0.0201	0.2715	0.1917	0.6465	0.8642	0.744	0.7167	0.7081	0.5798	0.749	0.0856	0.7149	0.8644	13.3248	0.9114	0.8297	17.2139	0.5661	0.2715	0.9216	0.6351	0.7458	0.9267	0.4623	0.6058	0.576	0.7753	0.8084	0.749	0.8408	0.7986	0.7443	0.744	0.0201	0.0422	0.6873	0.5622	0.0163	0.0057	0.0619	0.0075	0.867	0.8134	10.2308	0.8336	0.8206	10.8013	0.5556	0.6804	3.3097	20.1389	8.5601	0.0856	18.0061	LlamaForCausalLM	bfloat16	llama3.1;gemma	70.554	3	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2	0.565	0.0321	0.5385	0.2951	0.5743	0.8428	0.72	0.8484	0.7158	0.6428	0.9167	0.0883	0.7629	0.8709	13.8312	0.9115	0.9537	16.8957	0.8828	0.5385	0.8823	0.5345	0.725	0.9276	0.559	0.5507	0.8073	0.7601	0.752	0.9167	0.7888	0.7604	0.7184	0.72	0.0321	0.1365	0.5978	0.6066	0.0352	0.395	0.0885	0.1022	0.8549	0.835	11.7829	0.8406	0.9092	11.5867	0.7587	0.6827	2.8084	21.4684	8.8428	0.0883	18.9717	LlamaForCausalLM	bfloat16	llama3.1;gemma	8.03	6	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.2	0.4292	0.0321	0.1047	0.1583	0.4096	0.799	0.294	0.8335	0.6602	0.4712	0.8707	0.0883	0.6063	0.8593	12.1636	0.905	0.9508	15.8558	0.8781	0.1047	0.8682	0.5172	0.6528	0.8838	0.4527	0.3663	0.6167	0.7601	0.7542	0.8707	0.8008	0.7914	0.6449	0.294	0.0321	0.1365	0.4529	0.3547	0.0026	0.0004	0.0088	0	0.7798	0.8002	8.6761	0.818	0.8933	10.2604	0.7328	0.6827	2.8084	21.4684	8.8428	0.0883	18.9717	LlamaForCausalLM	bfloat16	llama3.1;gemma	8.03	6	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	rinna/gemma-2-baku-2b-it	0.4477	0	0.4434	0.1815	0.4444	0.7059	0.536	0.8302	0.4111	0.3726	0.8741	0.1256	0.4408	0.8527	10.6366	0.8981	0.9441	13.6152	0.8697	0.4434	0.7004	0.4023	0.5639	0.8534	0.2712	0.4084	0.4129	0.2986	0.3779	0.8741	0.6961	0.7189	0.5639	0.536	0	0	0.4805	0.4057	0.0348	0.0877	0.0708	0.0355	0.6786	0.7845	7.0376	0.8119	0.8944	8.8013	0.741	0.7177	2.2358	37.6981	12.5686	0.1256	30.0896	Gemma2ForCausalLM	float16	gemma	2.614	14	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	rinna/gemma-2-baku-2b-it	0.2449	0	0.0093	0.1214	0.0013	0.2852	0.008	0.823	0.3259	0.2184	0.7761	0.1256	0.3312	0.8416	9.5574	0.8942	0.9392	11.6762	0.8618	0.0093	0.8021	0.3649	0.5014	0	0.0083	0.0025	0.2991	0.1629	0.3012	0.7761	0.2881	0.2782	0.0533	0.008	0	0	0	0.3157	0	0	0	0	0.6068	0.7784	6.6772	0.7992	0.8924	7.8981	0.7369	0.7177	2.2358	37.6981	12.5686	0.1256	30.0896	Gemma2ForCausalLM	float16	gemma	2.614	14	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	cyberagent/calm3-22b-chat	0.5612	0	0.5404	0.247	0.5592	0.8527	0.684	0.8464	0.7519	0.6677	0.9118	0.1121	0.8433	0.8705	13.6161	0.9117	0.9553	16.6257	0.8857	0.5404	0.8677	0.5805	0.7875	0.933	0.5109	0.5408	0.8583	0.7715	0.7617	0.9118	0.8637	0.86	0.7575	0.684	0	0	0.5776	0.6489	0.001	0.2251	0.1239	0.0316	0.8532	0.8177	9.4163	0.8375	0.9039	10.3951	0.7506	0.7019	2.5206	31.9179	11.2189	0.1121	26.8509	LlamaForCausalLM	bfloat16	apache-2.0	22.543	67	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	cyberagent/calm3-22b-chat	0.4792	0	0.2776	0.1668	0.4546	0.7844	0.578	0.8388	0.6843	0.4854	0.8887	0.1121	0.6197	0.8517	12.6994	0.907	0.9535	16.1239	0.8829	0.2776	0.8297	0.5517	0.6986	0.8954	0.3577	0.4818	0.7683	0.7689	0.6341	0.8887	0.8853	0.8589	0.6281	0.578	0	0	0.4275	0.4788	0.0019	0.0016	0.0022	0	0.8285	0.7865	7.7148	0.8174	0.9002	9.9171	0.748	0.7019	2.5206	31.9179	11.2189	0.1121	26.8509	LlamaForCausalLM	bfloat16	apache-2.0	22.543	67	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	elyza/Llama-3-ELYZA-JP-8B	0.556	0.2972	0.5105	0.27	0.4999	0.8048	0.712	0.8285	0.6305	0.5457	0.9112	0.1058	0.6179	0.8476	11.1585	0.8843	0.9453	14.1463	0.8677	0.5105	0.8166	0.4856	0.6069	0.8981	0.5168	0.4761	0.7555	0.6654	0.6389	0.9112	0.8215	0.7794	0.6995	0.712	0.2972	0.7269	0.5236	0.5023	0.0209	0.3524	0.0885	0.0848	0.8035	0.8125	9.6534	0.8214	0.8976	10.308	0.7407	0.6986	2.4239	28.7904	10.5753	0.1058	24.7182	LlamaForCausalLM	bfloat16	llama3	8.03	76	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	elyza/Llama-3-ELYZA-JP-8B	0.4106	0.2972	0.0401	0.1057	0.3654	0.5815	0.446	0.8151	0.549	0.3639	0.8475	0.1058	0.4164	0.8396	9.0926	0.886	0.94	12.3152	0.8587	0.0401	0.7778	0.3678	0.4972	0.563	0.3615	0.3211	0.5415	0.7096	0.629	0.8475	0.4597	0.4683	0.4036	0.446	0.2972	0.7269	0.4098	0.3137	0	0.0021	0	0.0006	0.5257	0.7819	7.1661	0.7972	0.89	9.2311	0.7182	0.6986	2.4239	28.7904	10.5753	0.1058	24.7182	LlamaForCausalLM	bfloat16	llama3	8.03	76	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Rakuten/RakutenAI-7B-chat	0.4627	0.0863	0.3989	0.1521	0.4763	0.8122	0.41	0.8169	0.5524	0.418	0.8645	0.1017	0.5386	0.8624	13.0202	0.8952	0.9509	16.8546	0.8778	0.3989	0.7708	0.4713	0.6458	0.9053	0.26	0.4377	0.7449	0.4444	0.4554	0.8645	0.7956	0.7642	0.7605	0.41	0.0863	0.3072	0.515	0.4555	0.0108	0.1118	0.0442	0.0445	0.5493	0.7868	9.6886	0.7865	0.8938	9.7413	0.708	0.6961	2.2839	28.4861	10.1816	0.1017	23.911	MistralForCausalLM	bfloat16	apache-2.0	7.373	59	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Rakuten/RakutenAI-7B-chat	0.3167	0.0863	0.0067	0.0985	0.0041	0.7895	0.02	0.8058	0.6148	0.2592	0.6967	0.1017	0.3986	0.8555	13.0705	0.8908	0.9425	14.4667	0.8668	0.0067	0.7455	0.477	0.6583	0.9133	0.0218	0.0003	0.8509	0.5941	0.4936	0.6967	0.7406	0.7445	0.7097	0.02	0.0863	0.3072	0.0078	0.3572	0.0033	0	0	0	0.4891	0.7883	8.5147	0.7951	0.8782	9.0212	0.6703	0.6961	2.2839	28.4861	10.1816	0.1017	23.911	MistralForCausalLM	bfloat16	apache-2.0	7.373	59	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	cyberagent/calm2-7b-chat	0.3474	0	0.3317	0.1411	0.254	0.3255	0.108	0.7897	0.5213	0.5648	0.7719	0.0136	0.7041	0.8445	11.3228	0.8869	0.9368	13.4747	0.8479	0.3317	0.4679	0.4052	0.5028	0.2395	0.4973	0.2426	0.6253	0.4646	0.6085	0.7719	-0.0728	-0.0108	0.2691	0.108	0	0	0.2654	0.4929	0.0025	0.0851	0.0177	0.0324	0.5676	0.7587	6.7623	0.7498	0.8779	8.7567	0.6743	0.5871	0.4037	8.8424	1.354	0.0136	7.5443	LlamaForCausalLM	bfloat16	apache-2.0	7.009	76	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	cyberagent/calm2-7b-chat	0.1367	0	0	0.0496	0.0416	0.1877	0.004	0.4887	0.0005	0.2584	0.4593	0.0136	0.4671	0.6331	2.2109	0.4951	0.8192	4.0251	0.5615	0	0.4679	0	0	0.0831	0.0573	0.0387	0	0.0025	0	0.4593	0.0689	0.0684	0.0121	0.004	0	0	0.0446	0.2508	0	0	0	0	0.2481	0.5869	1.81	0.4237	0.7916	2.6109	0.4745	0.5871	0.4037	8.8424	1.354	0.0136	7.5443	LlamaForCausalLM	bfloat16	apache-2.0	7.009	76	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	tokyotech-llm/Llama-3.1-Swallow-8B-v0.2	0.5414	0.012	0.4659	0.2799	0.5427	0.8066	0.732	0.8445	0.6617	0.6405	0.8886	0.0813	0.8015	0.8747	13.8553	0.9099	0.9546	16.517	0.883	0.4659	0.8555	0.5259	0.7125	0.9071	0.4925	0.5244	0.7773	0.7595	0.5334	0.8886	0.7765	0.7511	0.6572	0.732	0.012	0.0562	0.561	0.6276	0.007	0.3933	0.0531	0.0803	0.8658	0.8368	13.1609	0.8317	0.9093	12.1377	0.7534	0.6801	1.9566	20.1115	8.1373	0.0813	17.7927	LlamaForCausalLM	bfloat16	llama3.1	8.03	2	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	tokyotech-llm/Llama-3.1-Swallow-8B-v0.2	0.3813	0.012	0.024	0.1587	0.3409	0.623	0.382	0.8264	0.4968	0.4812	0.7682	0.0813	0.6752	0.8586	12.1659	0.8998	0.9498	14.0954	0.8754	0.024	0.8034	0.4684	0.5	0.6604	0.2578	0.2906	0.3878	0.7045	0.423	0.7682	0.0806	0.0855	0.4052	0.382	0.012	0.0562	0.3911	0.5105	0.002	0.0016	0	0	0.79	0.7912	8.2683	0.8	0.8949	9.4323	0.7302	0.6801	1.9566	20.1115	8.1373	0.0813	17.7927	LlamaForCausalLM	bfloat16	llama3.1	8.03	2	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	llm-jp/llm-jp-3-13b	0.4861	0	0.4856	0.256	0.4043	0.6456	0.598	0.8373	0.5444	0.6721	0.8821	0.0218	0.8577	0.8682	13.5301	0.9064	0.95	16.6943	0.8747	0.4856	0.8507	0.3822	0.5028	0.6506	0.5161	0.3979	0.6011	0.7311	0.505	0.8821	0.2931	0.2998	0.4356	0.598	0	0.9578	0.4108	0.6424	0.0068	0.3231	0.0442	0.0366	0.8693	0.828	11.1755	0.8298	0.9036	11.0157	0.7381	0.6126	0.6253	13.6586	2.1977	0.0218	11.752	LlamaForCausalLM	bfloat16	apache-2.0	13.708	0	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	llm-jp/llm-jp-3-13b	0.1505	0	0.0021	0.1179	0.0097	0.0003	0.006	0.6423	0.0166	0.308	0.5313	0.0218	0.4529	0.758	7.0049	0.7205	0.8881	10.7045	0.7285	0.0021	0.0008	0	0.0806	0	0.1155	0.0175	0.0008	0	0.0016	0.5313	0.2138	0.2025	0	0.006	0	0.9578	0.0019	0.3557	0	0	0	0	0.5897	0.6568	3.6264	0.5514	0.8298	5.779	0.5687	0.6126	0.6253	13.6586	2.1977	0.0218	11.752	LlamaForCausalLM	bfloat16	apache-2.0	13.708	0	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-3.1-8B-Instruct	0.5319	0.3213	0.4598	0.2316	0.5808	0.7657	0.736	0.7522	0.6298	0.4205	0.8881	0.0648	0.419	0.8496	11.4306	0.8909	0.9171	15.0559	0.7837	0.4598	0.8011	0.4971	0.6722	0.8838	0.4502	0.5171	0.7173	0.6553	0.6069	0.8881	0.7479	0.7498	0.6121	0.736	0.3213	0.6205	0.6446	0.3923	0.0187	0.3105	0.1239	0.0315	0.6735	0.7956	11.0723	0.7762	0.8332	9.7048	0.5581	0.663	3.1983	15.7749	6.481	0.0648	14.169	LlamaForCausalLM	bfloat16	llama3.1	8.03	3,059	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-3.1-8B-Instruct	0.2303	0.3213	0.0154	0.0483	0.0038	0.3839	0.076	0.4675	0.2672	0.2386	0.6467	0.0648	0.2288	0.6335	7.9862	0.5261	0.7807	12.5089	0.4486	0.0154	0.0008	0.4425	0.3583	0.7131	0.2612	0.0028	0.2219	0.0063	0.3071	0.6467	0.6254	0.5865	0.4377	0.076	0.3213	0.6205	0.0047	0.2259	0	0.008	0	0	0.2334	0.6074	7.3187	0.4883	0.7688	7.4026	0.4071	0.663	3.1983	15.7749	6.481	0.0648	14.169	LlamaForCausalLM	bfloat16	llama3.1	8.03	3,059	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	CohereForAI/aya-23-8B	0.484	0	0.3829	0.1502	0.4958	0.7439	0.578	0.8245	0.6414	0.4883	0.8982	0.1213	0.5051	0.8583	12.3567	0.9043	0.9507	16.5267	0.8763	0.3829	0.748	0.5345	0.6611	0.8731	0.4958	0.4671	0.6187	0.7153	0.6773	0.8982	0.7539	0.7297	0.6105	0.578	0	0	0.5244	0.4639	0.0198	0.1152	0.0354	0.0154	0.5652	0.7963	8.9616	0.79	0.8934	9.7535	0.7274	0.7072	2.6432	30.8244	12.1131	0.1213	26.0328	CohereForCausalLM	float16	cc-by-nc-4.0	8.028	392	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	CohereForAI/aya-23-8B	0.31	0	0.0009	0.0738	0.0287	0.5859	0.176	0.8075	0.4615	0.3263	0.8285	0.1213	0.4499	0.8423	10.334	0.893	0.9461	14.353	0.8684	0.0009	0.8041	0.3534	0.5222	0.5371	0.1938	0.05	0.2091	0.6742	0.5486	0.8285	0.504	0.4839	0.4165	0.176	0	0	0.0075	0.3353	0.0054	0	0	0	0.3636	0.7675	7.5791	0.7666	0.8807	8.2645	0.7021	0.7072	2.6432	30.8244	12.1131	0.1213	26.0328	CohereForCausalLM	float16	cc-by-nc-4.0	8.028	392	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	CohereForAI/aya-23-35B	0.5742	0.1888	0.5045	0.2595	0.6038	0.8407	0.692	0.8443	0.7218	0.5991	0.9175	0.1443	0.7088	0.8668	13.519	0.9097	0.9564	17.9446	0.8862	0.5045	0.8236	0.569	0.7833	0.9446	0.5383	0.5688	0.7091	0.7538	0.7936	0.9175	0.8689	0.8381	0.754	0.692	0.1888	0.3936	0.6389	0.5501	0.022	0.3005	0.115	0.043	0.8169	0.8337	11.9736	0.8333	0.9054	11.0157	0.7482	0.7212	4.1534	34.0784	14.4071	0.1443	29.011	CohereForCausalLM	float16	cc-by-nc-4.0	34.981	264	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	CohereForAI/aya-23-35B	0.4229	0.1888	0.0323	0.1458	0.3212	0.7576	0.346	0.8366	0.6044	0.5036	0.7708	0.1443	0.6728	0.8567	12.0892	0.9046	0.9545	16.4732	0.8841	0.0323	0.8582	0.4971	0.5847	0.8418	0.3595	0.1573	0.4626	0.7128	0.7646	0.7708	0.7269	0.7625	0.5728	0.346	0.1888	0.3936	0.4852	0.4784	0	0.0017	0	0	0.7275	0.8127	9.6579	0.8224	0.8987	10.0728	0.7353	0.7212	4.1534	34.0784	14.4071	0.1443	29.011	CohereForCausalLM	float16	cc-by-nc-4.0	34.981	264	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	CohereForAI/aya-expanse-8b	0.5163	0	0.5127	0.2133	0.5521	0.8281	0.64	0.8427	0.5808	0.5008	0.9005	0.1088	0.5245	0.8658	13.3065	0.9096	0.9526	16.1479	0.8817	0.5127	0.864	0.5086	0.7	0.9223	0.4943	0.5137	0.4906	0.7393	0.4658	0.9005	0.8382	0.8038	0.6981	0.64	0	0	0.5905	0.4835	0.0103	0.2809	0.0708	0.032	0.6724	0.8152	9.3487	0.8304	0.8988	9.9183	0.7488	0.6887	2.3612	30.7157	10.8872	0.1088	24.9318	CohereForCausalLM	float16	cc-by-nc-4.0	8.028	276	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	CohereForAI/aya-expanse-8b	0.371	0	0.0296	0.133	0.227	0.6603	0.398	0.8352	0.6017	0.3012	0.7864	0.1088	0.331	0.8544	12.701	0.9078	0.953	16.887	0.8831	0.0296	0.8464	0.4626	0.6333	0.6962	0.3262	0.0387	0.5066	0.7513	0.6548	0.7864	0.8373	0.8031	0.4384	0.398	0	0	0.4153	0.2465	0.0103	0	0	0.0017	0.6531	0.7814	7.1072	0.8112	0.8903	9.1866	0.7388	0.6887	2.3612	30.7157	10.8872	0.1088	24.9318	CohereForCausalLM	float16	cc-by-nc-4.0	8.028	276	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	CohereForAI/aya-expanse-32b	0.5082	0.1426	0.535	0.2935	0.4225	0.8468	0.206	0.8553	0.5893	0.6495	0.9112	0.1388	0.7489	0.8755	14.7691	0.9167	0.9593	19.4268	0.8912	0.535	0.774	0.5891	0.1556	0.9625	0.5815	0.1367	0.8311	0.7822	0.5884	0.9112	0.8863	0.8648	0.8038	0.206	0.1426	0.255	0.7082	0.6179	0.0228	0.4033	0.0855	0.0853	0.8705	0.8462	13.016	0.8511	0.9099	11.557	0.7621	0.7167	3.6554	35.73	13.8915	0.1388	30.2516	CohereForCausalLM	float16	cc-by-nc-4.0	32.296	168	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	CohereForAI/aya-expanse-32b	0.4795	0.1426	0.2165	0.1746	0.5658	0.84	0.514	0.8516	0.3936	0.5438	0.893	0.1388	0.6921	0.8627	13.3137	0.9142	0.9581	17.7546	0.8913	0.2165	0.883	0.5747	0.0306	0.9205	0.4042	0.5916	0.5645	0.3371	0.4613	0.893	0.8629	0.8428	0.7166	0.514	0.1426	0.255	0.5399	0.535	0.0115	0	0.0177	0.0043	0.8395	0.8184	9.7295	0.8422	0.9034	10.1636	0.7585	0.7167	3.6554	35.73	13.8915	0.1388	30.2516	CohereForCausalLM	float16	cc-by-nc-4.0	32.296	168	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-2-2b-it	0.4051	0	0.3826	0.094	0.4379	0.5978	0.492	0.7515	0.5586	0.2522	0.8379	0.0513	0.2125	0.8197	8.5773	0.8372	0.9333	13.6777	0.8375	0.3826	0.5754	0.4253	0.5208	0.7819	0.3277	0.3838	0.5711	0.7014	0.5742	0.8379	0.5681	0.5442	0.4359	0.492	0	0	0.4921	0.2165	0.0123	0.1042	0.0973	0.0127	0.2434	0.7388	6.3148	0.6881	0.8677	7.5156	0.6434	0.6573	1.0802	16.8494	5.1204	0.0513	13.5661	Gemma2ForCausalLM	bfloat16	gemma	2.614	678	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-2-2b-it	0.1798	0	0	0.0487	0.0075	0.2901	0.044	0.576	0.2194	0.1283	0.6129	0.0513	0.0651	0.7304	5.5835	0.6514	0.792	3.1738	0.6637	0	0.4123	0.3276	0.0056	0.2055	0.2203	0.0031	0.145	0.3851	0.2336	0.6129	0.25	0.2473	0.2524	0.044	0	0	0.0118	0.0994	0	0	0	0	0.2434	0.6395	3.479	0.5003	0.7665	3.0008	0.4887	0.6573	1.0802	16.8494	5.1204	0.0513	13.5661	Gemma2ForCausalLM	bfloat16	gemma	2.614	678	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-2-9b-it	0.5206	0	0.45	0.2212	0.6149	0.801	0.75	0.8332	0.6079	0.4357	0.8883	0.1244	0.4964	0.8542	11.4808	0.8905	0.9446	15.7498	0.8611	0.45	0.8249	0.5	0.6819	0.8695	0.4161	0.5586	0.5592	0.6755	0.6231	0.8883	0.8474	0.815	0.7085	0.75	0	0	0.6713	0.3946	0.0114	0.294	0.0973	0.0792	0.624	0.8201	9.9977	0.8297	0.9044	10.9491	0.7513	0.7114	2.5273	36.1583	12.4421	0.1244	29.7442	Gemma2ForCausalLM	bfloat16	gemma	9.242	551	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-2-9b-it	0.3631	0	0	0.053	0.3421	0.6453	0.512	0.7368	0.6036	0.2294	0.7473	0.1244	0.196	0.8117	9.1697	0.8305	0.929	12.8368	0.8198	0	0.7219	0.5115	0.5764	0.7605	0.2548	0.4177	0.493	0.7197	0.7175	0.7473	0.7495	0.7103	0.4536	0.512	0	0	0.2665	0.2373	0.005	0.0021	0	0	0.2578	0.7155	6.0728	0.6682	0.8632	8.6791	0.6287	0.7114	2.5273	36.1583	12.4421	0.1244	29.7442	Gemma2ForCausalLM	bfloat16	gemma	9.242	551	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-2-27b-it	0.5809	0	0.4993	0.2738	0.676	0.8434	0.9	0.8539	0.7242	0.5932	0.8934	0.1322	0.6927	0.8709	13.2355	0.9126	0.9551	18.5224	0.8844	0.4993	0.8707	0.6552	0.8014	0.9267	0.5262	0.6278	0.6935	0.7727	0.6982	0.8934	0.9006	0.8776	0.7329	0.9	0	0	0.7243	0.5607	0.0127	0.3508	0.1062	0.0692	0.8303	0.8457	12.4513	0.8504	0.9127	12.1106	0.7681	0.7162	3.0568	35.8752	13.2254	0.1322	29.9498	Gemma2ForCausalLM	bfloat16	gemma	27.227	443	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-2-27b-it	0.4948	0	0.4455	0.1595	0.6023	0.721	0.798	0.8253	0.6287	0.449	0.6812	0.1322	0.5564	0.8321	11.1934	0.8824	0.9501	15.8838	0.8764	0.4455	0.7823	0.5259	0.6722	0.8365	0.3194	0.5479	0.521	0.7519	0.6726	0.6812	0.8502	0.8294	0.5442	0.798	0	0	0.6567	0.4713	0.0075	0.0012	0.0177	0	0.7712	0.7655	8.7339	0.7965	0.899	10.1975	0.7459	0.7162	3.0568	35.8752	13.2254	0.1322	29.9498	Gemma2ForCausalLM	bfloat16	gemma	27.227	443	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-3.1-70B-Instruct	0.6638	0.6004	0.5611	0.2644	0.7678	0.8854	0.93	0.8467	0.7821	0.6456	0.9215	0.097	0.7264	0.8675	13.7097	0.9095	0.9576	18.4691	0.8881	0.5611	0.9031	0.658	0.8556	0.95	0.6331	0.7258	0.7823	0.7992	0.8155	0.9215	0.8729	0.8407	0.8032	0.93	0.6004	0.9719	0.8099	0.5773	0.0808	0.2779	0.0442	0.0576	0.8616	0.8444	16.6273	0.8355	0.9073	12.3916	0.7537	0.6883	3.4286	23.6076	9.7127	0.097	20.9281	LlamaForCausalLM	bfloat16	llama3.1	70.554	685	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-3.1-70B-Instruct	0.4997	0.6004	0.2763	0.153	0.6753	0.8254	0.09	0.8243	0.7071	0.3729	0.8744	0.097	0.4822	0.8627	12.6354	0.9047	0.8888	11.0722	0.8239	0.2763	0.893	0.6063	0.7278	0.8579	0.2659	0.6543	0.5793	0.7841	0.8382	0.8744	0.8862	0.8528	0.7254	0.09	0.6004	0.9719	0.6963	0.3706	0.002	0.0257	0.0265	0.0008	0.7099	0.8326	12.7335	0.8355	0.8921	10.8621	0.7332	0.6883	3.4286	23.6076	9.7127	0.097	20.9281	LlamaForCausalLM	bfloat16	llama3.1	70.554	685	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	nvidia/Llama-3.1-Nemotron-70B-Instruct-HF	0.6624	0.5582	0.5734	0.2715	0.7673	0.8851	0.928	0.8495	0.7889	0.6453	0.9202	0.0984	0.727	0.8668	13.9208	0.9099	0.9577	18.3148	0.8882	0.5734	0.9051	0.6609	0.8694	0.9464	0.6205	0.7224	0.8028	0.7891	0.8224	0.9202	0.881	0.8533	0.8037	0.928	0.5582	0.8896	0.8123	0.5883	0.0984	0.3077	0.0265	0.0668	0.8582	0.8485	16.7533	0.8436	0.9059	12.0753	0.7565	0.6918	3.4088	23.8265	9.8542	0.0984	21.032	LlamaForCausalLM	bfloat16	llama3.1	70.554	1,680	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	nvidia/Llama-3.1-Nemotron-70B-Instruct-HF	0.5134	0.5582	0.2532	0.1623	0.6794	0.8242	0.232	0.8424	0.7365	0.3953	0.8654	0.0984	0.4611	0.8644	12.7358	0.9064	0.9481	16.8129	0.8795	0.2532	0.893	0.6408	0.7583	0.8642	0.3665	0.6614	0.6537	0.7633	0.8662	0.8654	0.8959	0.8638	0.7154	0.232	0.5582	0.8896	0.6975	0.3583	0.0024	0.0281	0.0177	0	0.7631	0.8328	12.6953	0.8383	0.9004	11.1724	0.7455	0.6918	3.4088	23.8265	9.8542	0.0984	21.032	LlamaForCausalLM	bfloat16	llama3.1	70.554	1,680	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	cyberagent/Llama-3.1-70B-Japanese-Instruct-2407	0.6705	0.5823	0.5464	0.2862	0.7522	0.9108	0.924	0.8518	0.7869	0.7169	0.9188	0.0989	0.8472	0.8747	15.2977	0.9123	0.9586	18.0168	0.8888	0.5464	0.9311	0.658	0.85	0.9589	0.6432	0.7159	0.7634	0.8106	0.8526	0.9188	0.878	0.8431	0.8424	0.924	0.5823	0.9699	0.7885	0.6602	0.0513	0.416	0.0177	0.0609	0.8852	0.8463	14.9733	0.8474	0.9099	12.2264	0.7588	0.6921	3.1649	23.7422	9.8925	0.0989	20.9876	LlamaForCausalLM	bfloat16	llama3.1	70.554	64	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	cyberagent/Llama-3.1-70B-Japanese-Instruct-2407	0.4359	0.5823	0.1812	0.1673	0.1655	0.8665	0.246	0.8368	0.752	0.1899	0.7083	0.0989	0.2384	0.8693	14.3716	0.907	0.9579	18.4078	0.888	0.1812	0.9181	0.6839	0.7514	0.9106	0.196	0.0085	0.6878	0.7879	0.8492	0.7083	0.8787	0.862	0.7708	0.246	0.5823	0.9699	0.3225	0.1352	0.0024	0.0102	0	0.0009	0.823	0.7949	10.767	0.8057	0.9029	11.2189	0.7465	0.6921	3.1649	23.7422	9.8925	0.0989	20.9876	LlamaForCausalLM	bfloat16	llama3.1	70.554	64	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	SakanaAI/EvoLLM-JP-A-v1-7B	0.3075	0.0783	0.0602	0.092	0.1096	0.4092	0.18	0.7626	0.5566	0.2941	0.7324	0.1075	0.2852	0.7996	7.8617	0.8364	0.9257	11.172	0.8301	0.0602	0.5496	0.4741	0.3583	0.3655	0.3017	0.1214	0.5329	0.6301	0.7875	0.7324	0.814	0.7803	0.3126	0.18	0.0783	0.2851	0.0977	0.2955	0.0064	0	0	0	0.4537	0.7262	5.4783	0.7133	0.8689	7.0128	0.6707	0.7015	2.2417	31.8526	10.7599	0.1075	26.5604	MistralForCausalLM	bfloat16	apache-2.0	7.242	11	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	SakanaAI/EvoLLM-JP-A-v1-7B	0.4981	0.0783	0.4291	0.2025	0.4799	0.7665	0.662	0.8102	0.6447	0.411	0.8874	0.1075	0.4051	0.8354	9.5638	0.8798	0.9423	14.1638	0.8646	0.4291	0.8469	0.5718	0.6458	0.8686	0.4383	0.4262	0.6828	0.6806	0.6424	0.8874	0.8239	0.7917	0.5839	0.662	0.0783	0.2851	0.5337	0.3898	0.0079	0.3115	0.0354	0.0561	0.6015	0.7786	8.2927	0.7788	0.88	8.3322	0.7178	0.7015	2.2417	31.8526	10.7599	0.1075	26.5604	MistralForCausalLM	bfloat16	apache-2.0	7.242	11	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-3.2-3B-Instruct	0.2042	0.0201	0	0.0345	0.1693	0.1582	0.008	0.6778	0.3061	0.1221	0.6936	0.0562	0.0882	0.794	7.0688	0.8148	0.906	9.086	0.7803	0	0.01	0.3851	0.5	0.2118	0.1375	0.0508	0.2342	0.1307	0.2807	0.6936	0.0555	0.0543	0.2526	0.008	0.0201	0.0843	0.2879	0.1406	0	0.0009	0	0	0.1716	0.6874	3.9743	0.6419	0.8229	5.2307	0.4743	0.6484	1.9187	16.1297	5.6101	0.0562	14.0826	LlamaForCausalLM	bfloat16	llama3.2	3.213	638	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-3.2-3B-Instruct	0.4111	0.0201	0.403	0.1037	0.4761	0.5994	0.61	0.7681	0.3565	0.2786	0.8506	0.0562	0.2529	0.8285	9.1433	0.86	0.9366	13.7136	0.8465	0.403	0.6528	0.3477	0.4958	0.7551	0.3175	0.3973	0.3414	0.4059	0.1916	0.8506	0.1652	0.1046	0.3903	0.61	0.0201	0.0843	0.5548	0.2655	0.0153	0.1642	0.0265	0.022	0.2904	0.7271	7.1521	0.6776	0.8772	8.3252	0.6881	0.6484	1.9187	16.1297	5.6101	0.0562	14.0826	LlamaForCausalLM	bfloat16	llama3.2	3.213	638	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	rinna/llama-3-youko-8b-instruct	0.5444	0.2811	0.4998	0.2651	0.4879	0.8302	0.526	0.8517	0.6812	0.5522	0.9004	0.113	0.6523	0.8605	11.8261	0.9056	0.9515	15.745	0.8797	0.4998	0.876	0.5661	0.6806	0.9169	0.485	0.4383	0.8069	0.7285	0.6237	0.9004	0.8224	0.7804	0.6976	0.526	0.2811	0.739	0.5375	0.5192	0.034	0.3175	0.0619	0.0749	0.8374	0.847	13.2105	0.8486	0.9147	12.3221	0.773	0.7051	3.0857	28.1083	11.3046	0.113	24.4835	LlamaForCausalLM	bfloat16	llama3	8.03	11	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	rinna/llama-3-youko-8b-instruct	0.3585	0.2811	0.1149	0.1395	0.0168	0.6881	0.006	0.8366	0.5024	0.3991	0.8462	0.113	0.5068	0.8499	10.1041	0.8963	0.9469	13.8825	0.8722	0.1149	0.7733	0.4626	0.5861	0.7936	0.2486	0	0.4022	0.6824	0.3785	0.8462	0.4037	0.4642	0.4975	0.006	0.2811	0.739	0.0337	0.442	0	0.0008	0	0.0059	0.6909	0.8191	9.923	0.8214	0.9051	10.3137	0.7563	0.7051	3.0857	28.1083	11.3046	0.113	24.4835	LlamaForCausalLM	bfloat16	llama3	8.03	11	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	rinna/llama-3-youko-70b-instruct	0.5358	0.4498	0.3448	0.1644	0.446	0.7631	0.808	0.8454	0.636	0.4595	0.8891	0.0871	0.4512	0.8558	12.2981	0.904	0.9512	17.0644	0.8793	0.3448	0.7911	0.5086	0.675	0.8445	0.4467	0.4581	0.4573	0.7677	0.7713	0.8891	0.86	0.8183	0.6538	0.808	0.4498	0.7028	0.434	0.4806	0	0.0224	0.0177	0.005	0.777	0.8197	10.0643	0.8368	0.9068	10.9401	0.7617	0.671	2.8969	21.0754	8.7164	0.0871	18.5691	LlamaForCausalLM	bfloat16	llama3	70.554	0	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	rinna/llama-3-youko-70b-instruct	0.6505	0.4498	0.5876	0.2869	0.7458	0.8863	0.934	0.8575	0.7479	0.6521	0.9203	0.0871	0.7374	0.8677	13.7925	0.9099	0.9584	18.5638	0.8905	0.5876	0.9018	0.6724	0.7764	0.9517	0.6348	0.7151	0.7609	0.7942	0.7355	0.9203	0.8946	0.8666	0.8054	0.934	0.4498	0.7028	0.7765	0.584	0.0542	0.3116	0.1416	0.0677	0.8596	0.8471	13.5325	0.8505	0.9163	12.5548	0.7793	0.671	2.8969	21.0754	8.7164	0.0871	18.5691	LlamaForCausalLM	bfloat16	llama3	70.554	0	main	4	False	v1.4.1	v0.6.3.post1
🤝 : base merges and moerges	ryota39/Tora-12B	0.5036	0	0.5251	0.1908	0.4971	0.7748	0.684	0.8132	0.6189	0.4522	0.8868	0.0972	0.4565	0.8568	11.6997	0.9014	0.9445	14.3901	0.8681	0.5251	0.8434	0.5259	0.7097	0.8794	0.4327	0.4685	0.5362	0.75	0.5728	0.8868	0.8288	0.8246	0.6016	0.684	0	0	0.5256	0.4674	0.0163	0.2399	0.0133	0.0305	0.6541	0.7675	6.7435	0.7813	0.8824	8.4109	0.702	0.6902	2.606	27.0004	9.7306	0.0972	22.9946	MistralForCausalLM	bfloat16	apache-2.0	12.248	1	main	4	False	v1.4.1	v0.6.3.post1
🤝 : base merges and moerges	ryota39/Tora-12B	0.3728	0	0.0171	0.1148	0.2861	0.6261	0.56	0.798	0.5746	0.204	0.8228	0.0972	0.1097	0.8398	10.3864	0.8934	0.9431	13.1423	0.8644	0.0171	0.763	0.5201	0.7056	0.7417	0.2828	0.2824	0.4552	0.7544	0.4378	0.8228	0.8389	0.8398	0.3734	0.56	0	0	0.2898	0.2197	0.0025	0.0008	0.023	0	0.5474	0.734	5.0103	0.7377	0.8804	7.659	0.6964	0.6902	2.606	27.0004	9.7306	0.0972	22.9946	MistralForCausalLM	bfloat16	apache-2.0	12.248	1	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Qwen/Qwen2.5-Coder-32B-Instruct	0.6196	0.6847	0.5416	0.2769	0.6754	0.8225	0.896	0.8349	0.7292	0.4215	0.858	0.0744	0.3762	0.8533	11.6603	0.8952	0.9501	15.695	0.8762	0.5416	0.8437	0.6523	0.8708	0.908	0.5112	0.6315	0.7502	0.6818	0.6911	0.858	0.8716	0.845	0.716	0.896	0.6847	0.755	0.7193	0.3772	0.0529	0.3638	0.1239	0.0749	0.769	0.8104	9.7551	0.8238	0.8991	10.3091	0.7445	0.6725	1.8374	21.7121	7.4326	0.0744	18.911	Qwen2ForCausalLM	bfloat16	apache-2.0	32.764	958	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Qwen/Qwen2.5-Coder-32B-Instruct	0.4649	0.6847	0.2414	0.1542	0.5666	0.7859	0.332	0.8067	0.4242	0.2567	0.7872	0.0744	0.2702	0.825	8.635	0.8742	0.9437	13.3534	0.8633	0.2414	0.8236	0.4598	0.7194	0.8758	0.2579	0.5055	0.3977	0.1957	0.3485	0.7872	0.8391	0.8255	0.6582	0.332	0.6847	0.755	0.6278	0.2419	0.0231	0.0118	0.0708	0.0048	0.6604	0.7637	7.3008	0.7796	0.8868	8.9065	0.7098	0.6725	1.8374	21.7121	7.4326	0.0744	18.911	Qwen2ForCausalLM	bfloat16	apache-2.0	32.764	958	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	AXCXEPT/EZO-Common-9B-gemma-2-it	0.3855	0.006	0.0125	0.0537	0.3964	0.6565	0.56	0.781	0.5944	0.284	0.7735	0.1228	0.2447	0.8243	9.2281	0.8642	0.9336	12.3934	0.8402	0.0125	0.7725	0.5259	0.5625	0.7498	0.313	0.4253	0.479	0.714	0.6905	0.7735	0.7556	0.7149	0.4472	0.56	0.006	0.0141	0.3675	0.2943	0.0064	0.0003	0	0	0.2616	0.7432	6.4405	0.7328	0.8779	8.6208	0.6867	0.714	2.8145	35.9536	12.2713	0.1228	29.3246	Gemma2ForCausalLM	bfloat16	gemma	9.242	31	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	AXCXEPT/EZO-Common-9B-gemma-2-it	0.5275	0.006	0.4616	0.2047	0.609	0.7961	0.764	0.8381	0.6519	0.4585	0.89	0.1228	0.4946	0.86	11.9103	0.8978	0.9452	16.075	0.8646	0.4616	0.8304	0.4943	0.6778	0.8633	0.4892	0.5498	0.7005	0.6711	0.7161	0.89	0.8535	0.8079	0.6945	0.764	0.006	0.0141	0.6682	0.3916	0.0131	0.2754	0.0796	0.0708	0.5846	0.8216	9.7229	0.8338	0.904	10.8852	0.7563	0.714	2.8145	35.9536	12.2713	0.1228	29.3246	Gemma2ForCausalLM	bfloat16	gemma	9.242	31	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	AXCXEPT/EZO-Humanities-9B-gemma-2-it	0.5294	0.0301	0.4571	0.1934	0.6078	0.8	0.758	0.8364	0.6586	0.4751	0.8835	0.1236	0.5006	0.8569	11.5508	0.8935	0.9446	15.2615	0.8634	0.4571	0.8447	0.5029	0.7222	0.8624	0.4724	0.5484	0.6927	0.6597	0.7154	0.8835	0.8472	0.8046	0.6929	0.758	0.0301	0.0562	0.6671	0.4522	0.017	0.2816	0.0354	0.0762	0.5568	0.8215	9.5432	0.8344	0.9036	10.7545	0.7545	0.7143	2.6119	36.4581	12.3595	0.1236	29.6341	Gemma2ForCausalLM	bfloat16	gemma	9.242	21	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	AXCXEPT/EZO-Humanities-9B-gemma-2-it	0.3874	0.0301	0.0083	0.0518	0.4085	0.6664	0.572	0.7624	0.6096	0.2605	0.7687	0.1236	0.2273	0.8157	9.1465	0.8474	0.9309	12.2476	0.8339	0.0083	0.7861	0.5259	0.5611	0.7516	0.2606	0.4211	0.537	0.7172	0.7069	0.7687	0.7466	0.7017	0.4616	0.572	0.0301	0.0562	0.396	0.2936	0.0014	0	0	0	0.2577	0.7292	6.0949	0.7	0.8718	8.3038	0.6684	0.7143	2.6119	36.4581	12.3595	0.1236	29.6341	Gemma2ForCausalLM	bfloat16	gemma	9.242	21	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	AXCXEPT/EZO-Qwen2.5-32B-Instruct	0.6217	0.2189	0.5779	0.2486	0.7633	0.8982	0.928	0.8501	0.8095	0.5476	0.9029	0.0942	0.5622	0.8649	13.1459	0.9085	0.9545	17.3022	0.8858	0.5779	0.9123	0.6925	0.8542	0.9625	0.5803	0.7343	0.8673	0.7784	0.8551	0.9029	0.9014	0.8823	0.8197	0.928	0.2189	0.2691	0.7923	0.5004	0.0025	0.3567	0	0.0806	0.8032	0.8248	10.4495	0.8444	0.9024	10.5557	0.7616	0.6932	2.5841	26.0188	9.4165	0.0942	22.2414	Qwen2ForCausalLM	bfloat16	apache-2.0	32.764	6	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	AXCXEPT/EZO-Qwen2.5-32B-Instruct	0.5255	0.2189	0.164	0.1459	0.6883	0.8671	0.736	0.8388	0.7692	0.3722	0.886	0.0942	0.3589	0.8446	10.8444	0.9003	0.9508	15.2871	0.8811	0.164	0.8938	0.6839	0.7778	0.9357	0.3282	0.6408	0.8073	0.7614	0.8155	0.886	0.8954	0.8736	0.7718	0.736	0.2189	0.2691	0.7358	0.4294	0.0083	0.0044	0	0.005	0.7118	0.7931	8.3381	0.8245	0.8967	9.4364	0.7493	0.6932	2.5841	26.0188	9.4165	0.0942	22.2414	Qwen2ForCausalLM	bfloat16	apache-2.0	32.764	6	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	karakuri-ai/karakuri-lm-8x7b-chat-v0.1	0.579	0.4398	0.5106	0.2509	0.553	0.7859	0.738	0.8295	0.6669	0.5578	0.906	0.1308	0.6857	0.859	12.5191	0.9048	0.948	15.3313	0.8715	0.5106	0.8835	0.5086	0.6569	0.8391	0.4662	0.5165	0.8003	0.7633	0.6052	0.906	0.8325	0.7804	0.6349	0.738	0.4398	0.9157	0.5895	0.5214	0.0142	0.2769	0.115	0.0787	0.7696	0.8112	9.7984	0.8191	0.8947	9.9615	0.7225	0.714	3.0687	34.8302	13.0565	0.1308	29.23	MixtralForCausalLM	bfloat16	apache-2.0	46.703	20	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	karakuri-ai/karakuri-lm-8x7b-chat-v0.1	0.4643	0.4398	0.1461	0.1553	0.4483	0.6098	0.586	0.8132	0.5708	0.4013	0.8056	0.1308	0.5219	0.8413	9.5173	0.8921	0.9451	12.9912	0.8695	0.1461	0.7282	0.4684	0.6806	0.7596	0.2338	0.3988	0.3652	0.6818	0.6582	0.8056	0.8181	0.7938	0.3416	0.586	0.4398	0.9157	0.4979	0.4483	0.0208	0.0054	0.0354	0	0.7151	0.7783	7.1414	0.7944	0.8831	8.0624	0.6967	0.714	3.0687	34.8302	13.0565	0.1308	29.23	MixtralForCausalLM	bfloat16	apache-2.0	46.703	20	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-3.2-1B-Instruct	0.3059	0.006	0.3175	0.0299	0.3193	0.4104	0.448	0.6088	0.3826	0.2129	0.5948	0.0344	0.1483	0.7505	6.5622	0.7029	0.913	10.3897	0.7881	0.3175	0.4765	0.3391	0.5056	0.4683	0.3055	0.2801	0.5308	0.3163	0.2212	0.5948	0	0	0.2865	0.448	0.006	0.0321	0.3584	0.1849	0	0.0521	0	0.0123	0.0849	0.5608	1.4338	0.3883	0.8311	5.383	0.5558	0.6012	1.3537	12.4088	3.448	0.0344	9.9124	LlamaForCausalLM	bfloat16	llama3.2	1.236	573	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-3.2-1B-Instruct	0.1052	0.006	0	0.0318	0.0014	0.189	0	0.4682	0	0.1129	0.3138	0.0344	0.0727	0.6638	1.5895	0.5399	0.7425	0.1903	0.4989	0	0.4051	0	0	0.0179	0.1733	0	0	0	0	0.3138	-0.0837	-0.1146	0.1441	0	0.006	0.0321	0.0028	0.0929	0	0	0	0	0.1589	0.5919	1.3013	0.4303	0.7328	0.3692	0.4039	0.6012	1.3537	12.4088	3.448	0.0344	9.9124	LlamaForCausalLM	bfloat16	llama3.2	1.236	573	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	AXCXEPT/Llama-3.1-70B-EZO-1.1-it	0.4493	0.4759	0.1461	0.167	0.1811	0.87	0.374	0.8432	0.7253	0.3434	0.7049	0.1112	0.4223	0.8652	13.0595	0.9109	0.9559	17.4464	0.8853	0.1461	0.9236	0.6351	0.7486	0.9178	0.3892	0.0873	0.6265	0.7822	0.834	0.7049	0.8848	0.8564	0.7687	0.374	0.4759	0.7671	0.275	0.2188	0	0	0.0088	0	0.8263	0.8017	9.9795	0.8247	0.9003	10.2301	0.7519	0.7018	3.1569	26.8732	11.1146	0.1112	23.5595	LlamaForCausalLM	bfloat16	llama3.1	70.554	11	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	AXCXEPT/Llama-3.1-70B-EZO-1.1-it	0.6537	0.4759	0.5341	0.2846	0.7542	0.9071	0.902	0.8441	0.7667	0.7038	0.9073	0.1112	0.8429	0.8606	13.1933	0.8997	0.9486	17.0482	0.8675	0.5341	0.9354	0.6178	0.7847	0.9607	0.6168	0.7201	0.7896	0.8056	0.836	0.9073	0.8743	0.8479	0.8253	0.902	0.4759	0.7671	0.7883	0.6516	0.0263	0.3609	0.1239	0.0555	0.8567	0.8353	13.154	0.8452	0.9071	10.9842	0.7638	0.7018	3.1569	26.8732	11.1146	0.1112	23.5595	LlamaForCausalLM	bfloat16	llama3.1	70.554	11	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	karakuri-ai/karakuri-lm-8x7b-instruct-v0.1	0.5485	0.0502	0.5043	0.2695	0.565	0.7869	0.72	0.8283	0.6865	0.596	0.9122	0.115	0.6905	0.8604	11.8326	0.9048	0.9486	15.6642	0.8721	0.5043	0.8442	0.5172	0.7292	0.8919	0.5456	0.5253	0.7576	0.7664	0.6621	0.9122	0.8363	0.7498	0.6245	0.72	0.0502	0.1245	0.6048	0.552	0.0222	0.3319	0.1239	0.0908	0.7789	0.8137	10.0974	0.8189	0.8917	9.9485	0.7173	0.6983	2.8331	30.452	11.4983	0.115	25.7002	MixtralForCausalLM	bfloat16	apache-2.0	46.704	19	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	karakuri-ai/karakuri-lm-8x7b-instruct-v0.1	0.4249	0.0502	0.2769	0.1339	0.4183	0.6429	0.5	0.8189	0.5858	0.3979	0.7338	0.115	0.4678	0.8427	10.4168	0.8933	0.9465	12.8796	0.8725	0.2769	0.8818	0.5144	0.6944	0.7364	0.2846	0.3812	0.3726	0.6723	0.6753	0.7338	0.8244	0.8011	0.3106	0.5	0.0502	0.1245	0.4554	0.4413	0.015	0.0011	0.0088	0	0.6445	0.7794	7.5151	0.7969	0.8851	8.337	0.7127	0.6983	2.8331	30.452	11.4983	0.115	25.7002	MixtralForCausalLM	bfloat16	apache-2.0	46.704	19	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	karakuri-ai/karakuri-lm-70b-chat-v0.1	0.52	0	0.4993	0.2285	0.516	0.8123	0.636	0.8387	0.5423	0.6236	0.9103	0.1135	0.7876	0.8589	12.8743	0.9023	0.9513	15.9804	0.8781	0.4993	0.8702	0.4138	0.7139	0.8856	0.5177	0.4679	0.4491	0.5871	0.5476	0.9103	0.6075	0.5192	0.6811	0.636	0	0.002	0.564	0.5656	0.0013	0.274	0.0354	0.0384	0.7933	0.8237	11.0849	0.8292	0.9051	11.4481	0.745	0.7048	2.0013	32.715	11.3497	0.1135	27.593	LlamaForCausalLM	bfloat16	other	69.196	23	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	karakuri-ai/karakuri-lm-70b-chat-v0.1	0.3458	0	0.0708	0.1421	0.3197	0.4886	0.032	0.8226	0.5578	0.4086	0.848	0.1135	0.5177	0.8451	11.1751	0.8928	0.9485	14.225	0.8742	0.0708	0.7525	0.3649	0.5069	0.3342	0.2332	0.2231	0.5616	0.7102	0.645	0.848	0.202	0.4942	0.3792	0.032	0	0.002	0.4164	0.475	0.0025	0.0023	0	0	0.7056	0.7811	7.3019	0.7962	0.8954	9.1576	0.727	0.7048	2.0013	32.715	11.3497	0.1135	27.593	LlamaForCausalLM	bfloat16	other	69.196	23	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	anthracite-org/magnum-v2.5-12b-kto	0.5803	0.4659	0.5056	0.2575	0.5765	0.8432	0.742	0.8433	0.6803	0.4789	0.8929	0.0973	0.5346	0.8523	11.0049	0.9043	0.9507	15.6039	0.8798	0.5056	0.892	0.5546	0.75	0.9187	0.4296	0.5247	0.751	0.7557	0.5904	0.8929	0.8691	0.8385	0.7188	0.742	0.4659	0.8835	0.6283	0.4727	0.0461	0.3907	0.0265	0.0565	0.7675	0.8196	10.223	0.8337	0.901	9.7323	0.7555	0.6934	2.7577	28.2469	9.7173	0.0973	24.3763	MistralForCausalLM	float16	apache-2.0	12.248	40	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	anthracite-org/magnum-v2.5-12b-kto	0.431	0.4659	0.2191	0.1406	0.3713	0.6504	0.256	0.7663	0.6381	0.3328	0.8032	0.0973	0.3706	0.8273	9.1971	0.8933	0.8894	13.3192	0.7395	0.2191	0.7866	0.5115	0.7389	0.6711	0.26	0.316	0.3977	0.7462	0.7964	0.8032	0.7715	0.7927	0.4936	0.256	0.4659	0.8835	0.4266	0.3679	0.0233	0.0011	0	0	0.6786	0.7848	7.6412	0.8147	0.8558	8.2921	0.6179	0.6934	2.7577	28.2469	9.7173	0.0973	24.3763	MistralForCausalLM	float16	apache-2.0	12.248	40	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	mistralai/Mistral-Nemo-Instruct-2407	0.5006	0.4438	0.3349	0.1314	0.505	0.6974	0.664	0.8173	0.6304	0.3476	0.8248	0.1102	0.4349	0.8356	9.7971	0.8909	0.9465	13.9763	0.8721	0.3349	0.7142	0.4339	0.7028	0.8284	0.2038	0.447	0.5255	0.7247	0.765	0.8248	0.8271	0.7887	0.5497	0.664	0.4438	0.8594	0.563	0.4041	0.0058	0	0.0265	0	0.6245	0.7781	8.1055	0.7868	0.8889	8.9971	0.7192	0.702	2.6477	30.1236	11.0167	0.1102	25.8189	MistralForCausalLM	bfloat16	apache-2.0	12.248	1,242	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	mistralai/Mistral-Nemo-Instruct-2407	0.582	0.4438	0.5297	0.251	0.5899	0.8386	0.754	0.8382	0.6393	0.5034	0.904	0.1102	0.5181	0.8563	11.6408	0.902	0.9503	15.776	0.8793	0.5297	0.8848	0.408	0.7458	0.9205	0.5032	0.5397	0.689	0.6907	0.6629	0.904	0.8645	0.821	0.7105	0.754	0.4438	0.8594	0.6401	0.489	0.0358	0.3292	0.0442	0.0898	0.7562	0.8181	9.9231	0.8269	0.8978	9.7514	0.7447	0.702	2.6477	30.1236	11.0167	0.1102	25.8189	MistralForCausalLM	bfloat16	apache-2.0	12.248	1,242	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	cyberagent/Mistral-Nemo-Japanese-Instruct-2408	0.5436	0.0181	0.5247	0.2218	0.5626	0.8079	0.768	0.8355	0.7091	0.52	0.9142	0.0977	0.5393	0.8645	12.7846	0.9087	0.9497	15.6384	0.8786	0.5247	0.8196	0.592	0.8375	0.9133	0.5091	0.5346	0.7194	0.7696	0.6272	0.9142	0.8762	0.8532	0.6908	0.768	0.0181	0.0422	0.5905	0.5116	0.0209	0.2932	0.0442	0.0512	0.6994	0.7948	7.9257	0.8172	0.893	9.2525	0.7373	0.6934	2.6755	26.798	9.7702	0.0977	23.1335	MistralForCausalLM	bfloat16	apache-2.0	12.248	23	main	4	True	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	cyberagent/Mistral-Nemo-Japanese-Instruct-2408	0.4725	0.0181	0.2617	0.1413	0.4206	0.7856	0.684	0.8286	0.7287	0.3388	0.892	0.0977	0.2819	0.85	12.1913	0.9051	0.9484	14.8813	0.8773	0.2617	0.8312	0.6063	0.7847	0.8937	0.3612	0.5095	0.804	0.7696	0.6787	0.892	0.8913	0.8646	0.632	0.684	0.0181	0.0422	0.3316	0.3733	0.0095	0.0039	0.0265	0.0092	0.6575	0.7695	6.2908	0.8015	0.8889	8.8337	0.7306	0.6934	2.6755	26.798	9.7702	0.0977	23.1335	MistralForCausalLM	bfloat16	apache-2.0	12.248	23	main	0	True	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Elizezen/Himeyuri-v0.1-12B	0.5838	0.4719	0.5117	0.2548	0.5801	0.8502	0.742	0.844	0.6753	0.4922	0.8967	0.1033	0.5394	0.8537	11.1719	0.9055	0.9511	16.1927	0.88	0.5117	0.8945	0.5345	0.7472	0.9267	0.4574	0.5301	0.7564	0.7519	0.5864	0.8967	0.8673	0.8357	0.7295	0.742	0.4719	0.8735	0.6301	0.4798	0.0395	0.3845	0.0177	0.0627	0.7698	0.8222	10.426	0.8357	0.9015	9.9963	0.7547	0.6968	2.7793	28.6041	10.3203	0.1033	24.6055	MistralForCausalLM	bfloat16	apache-2.0	12.248	10	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Elizezen/Himeyuri-v0.1-12B	0.4116	0.4719	0.2167	0.1393	0.2734	0.5405	0.268	0.7667	0.6341	0.3081	0.8052	0.1033	0.3542	0.8028	9.2799	0.8537	0.9143	13.4908	0.777	0.2167	0.5168	0.5086	0.7264	0.6345	0.2323	0.2866	0.3895	0.7487	0.797	0.8052	0.8328	0.7993	0.4701	0.268	0.4719	0.8735	0.2601	0.3379	0.0106	0.0019	0	0.0014	0.6827	0.7734	7.6856	0.7975	0.8653	8.3046	0.6386	0.6968	2.7793	28.6041	10.3203	0.1033	24.6055	MistralForCausalLM	bfloat16	apache-2.0	12.248	10	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	spow12/ChatWaifu_v2.0_22B	0.5755	0.4498	0.489	0.2754	0.5818	0.7434	0.774	0.8296	0.7435	0.425	0.9072	0.1113	0.399	0.849	11.2044	0.8882	0.9473	15.5331	0.872	0.489	0.8069	0.6236	0.8236	0.7757	0.492	0.5027	0.7576	0.7399	0.7727	0.9072	0.8752	0.829	0.6476	0.774	0.4498	0.9137	0.6609	0.3841	0.002	0.5037	0.1062	0.079	0.6864	0.8089	9.9046	0.8128	0.8999	10.5372	0.7454	0.7051	2.6042	32.0946	11.1286	0.1113	27.1554	MistralForCausalLM	bfloat16	cc-by-nc-4.0	22.247	6	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	spow12/ChatWaifu_v2.0_22B	0.4908	0.4498	0.0584	0.1221	0.5491	0.6809	0.744	0.8135	0.6798	0.3484	0.842	0.1113	0.3116	0.826	9.8798	0.875	0.9448	14.384	0.8682	0.0584	0.7179	0.546	0.7611	0.7811	0.4214	0.4708	0.6742	0.7096	0.7079	0.842	0.8597	0.838	0.5437	0.744	0.4498	0.9137	0.6274	0.3123	0.002	0.004	0.0265	0.0103	0.5676	0.7695	6.8754	0.7822	0.8916	9.4839	0.7285	0.7051	2.6042	32.0946	11.1286	0.1113	27.1554	MistralForCausalLM	bfloat16	cc-by-nc-4.0	22.247	6	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	spow12/ChatWaifu_12B_v2.0	0.4009	0.4759	0.2443	0.1112	0.2387	0.4261	0.468	0.5958	0.6377	0.2964	0.825	0.0904	0.3011	0.7236	10.3014	0.6	0.8686	14.3307	0.521	0.2443	0.0098	0.4569	0.7431	0.7256	0.2627	0.3335	0.4528	0.7569	0.7788	0.825	0.8504	0.8101	0.5429	0.468	0.4759	0.8876	0.1439	0.3254	0.0025	0.001	0	0.0027	0.55	0.7188	8.0496	0.6563	0.8593	8.5589	0.6056	0.677	2.6975	24.4803	9.0565	0.0904	19.7651	MistralForCausalLM	bfloat16	cc-by-nc-4.0	12.248	11	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	spow12/ChatWaifu_12B_v2.0	0.5865	0.4759	0.5181	0.2591	0.5898	0.8507	0.752	0.8421	0.6773	0.4988	0.8976	0.0904	0.5378	0.8578	11.8316	0.9061	0.9515	15.9457	0.8809	0.5181	0.893	0.4885	0.75	0.9303	0.4831	0.5414	0.756	0.7626	0.6292	0.8976	0.8722	0.8432	0.7289	0.752	0.4759	0.8876	0.6382	0.4755	0.0492	0.358	0.0442	0.0699	0.7743	0.8223	10.3095	0.832	0.9009	9.937	0.7493	0.677	2.6975	24.4803	9.0565	0.0904	19.7651	MistralForCausalLM	bfloat16	cc-by-nc-4.0	12.248	11	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	augmxnt/shisa-gamma-7b-v1	0.4659	0.2369	0.0387	0.1173	0.3918	0.7352	0.476	0.8017	0.8178	0.4707	0.9121	0.1262	0.6101	0.8455	10.7929	0.8931	0.9422	13.3796	0.8623	0.0387	0.7751	0.6207	0.9486	0.8606	0.3184	0.3668	0.878	0.7854	0.8563	0.9121	0.9069	0.873	0.5701	0.476	0.2369	0.8574	0.4168	0.4836	0	0	0	0	0.5867	0.7639	7.1315	0.7741	0.8767	9.7167	0.6773	0.7158	2.6506	34.2569	12.6511	0.1262	28.614	MistralForCausalLM	bfloat16	apache-2.0	7.242	15	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	augmxnt/shisa-gamma-7b-v1	0.547	0.2369	0.4704	0.2215	0.4648	0.8258	0.622	0.8253	0.7628	0.5497	0.9113	0.1262	0.666	0.8601	12.2649	0.9022	0.9458	15.6194	0.8687	0.4704	0.8765	0.6034	0.8722	0.9178	0.4577	0.4541	0.8118	0.7797	0.7469	0.9113	0.8235	0.7898	0.683	0.622	0.2369	0.8574	0.4756	0.5253	0	0.2735	0.0265	0.0612	0.7464	0.7979	8.7329	0.8034	0.8925	10.2192	0.7268	0.7158	2.6506	34.2569	12.6511	0.1262	28.614	MistralForCausalLM	bfloat16	apache-2.0	7.242	15	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/QwQ-32B-Preview	0.5785	0.6606	0.2402	0.1527	0.7286	0.8531	0.82	0.8396	0.7285	0.3296	0.8978	0.1134	0.1838	0.8478	11.7965	0.9037	0.9536	16.5924	0.8832	0.2402	0.895	0.6063	0.7139	0.9178	0.4363	0.6944	0.8012	0.7891	0.7319	0.8978	0.8994	0.8717	0.7464	0.82	0.6606	0.9478	0.7627	0.3686	0	0.0008	0.0531	0.0022	0.7073	0.7991	9.0753	0.8271	0.8955	9.2158	0.7442	0.7031	3.1354	29.4104	11.3342	0.1134	25.3233	Qwen2ForCausalLM	bfloat16	apache-2.0	32.764	594	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/QwQ-32B-Preview	0.6715	0.6606	0.5794	0.2813	0.7756	0.8955	0.938	0.8487	0.7912	0.5775	0.9254	0.1134	0.5875	0.8633	12.6447	0.9093	0.9555	16.8456	0.8861	0.5794	0.9126	0.6609	0.8139	0.9517	0.6171	0.7557	0.8965	0.8049	0.7798	0.9254	0.8768	0.872	0.8223	0.938	0.6606	0.9478	0.7955	0.5279	0.0203	0.3842	0.1327	0.0816	0.7875	0.8335	12.1622	0.8381	0.9058	11.4057	0.7612	0.7031	3.1354	29.4104	11.3342	0.1134	25.3233	Qwen2ForCausalLM	bfloat16	apache-2.0	32.764	594	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-14B-Instruct	0.5476	0.4438	0.2239	0.1282	0.6851	0.8539	0.794	0.8041	0.7474	0.3898	0.8551	0.0982	0.4017	0.8419	9.2171	0.8957	0.9195	15.4526	0.8051	0.2239	0.8945	0.6351	0.8306	0.9285	0.3404	0.6631	0.7703	0.6894	0.8114	0.8551	0.884	0.8556	0.7388	0.794	0.4438	0.7068	0.7072	0.4274	0.0209	0.0088	0.0088	0.0008	0.6014	0.792	7.5747	0.811	0.875	8.7641	0.7048	0.6941	2.8388	25.5114	9.8292	0.0982	22.4451	Qwen2ForCausalLM	bfloat16	apache-2.0	14.77	126	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-14B-Instruct	0.6285	0.4438	0.5656	0.2613	0.7345	0.8802	0.892	0.8414	0.7568	0.5383	0.9019	0.0982	0.5091	0.8628	12.6532	0.9084	0.9458	16.5642	0.8663	0.5656	0.8988	0.6149	0.8278	0.9517	0.5883	0.7043	0.8225	0.762	0.7569	0.9019	0.8874	0.8586	0.7901	0.892	0.4438	0.7068	0.7648	0.5175	0.0969	0.3345	0.0147	0.0848	0.7754	0.8212	9.9418	0.8341	0.9023	10.5742	0.7567	0.6941	2.8388	25.5114	9.8292	0.0982	22.4451	Qwen2ForCausalLM	bfloat16	apache-2.0	14.77	126	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	AIDC-AI/Marco-o1	0.2171	0	0.1841	0.0632	0.1052	0.4735	0.042	0.6498	0.23	0.1423	0.4048	0.0936	0.1335	0.695	7.3933	0.7214	0.8533	11.4251	0.6421	0.1841	0	0.4828	0	0.7998	0.1625	0.203	0.3246	0	0.3428	0.4048	0.8694	0.835	0.6205	0.042	0	0	0.0073	0.1308	0	0.0071	0.0114	0.0028	0.2947	0.665	6.8745	0.6654	0.8227	7.7347	0.5703	0.6912	2.3785	26.7848	9.367	0.0936	22.6888	Qwen2ForCausalLM	bfloat16	apache-2.0	7.616	542	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	AIDC-AI/Marco-o1	0.5419	0	0.4799	0.2396	0.6505	0.8392	0.782	0.8328	0.7167	0.4246	0.9021	0.0936	0.3833	0.8513	11.848	0.895	0.949	15.5601	0.8771	0.4799	0.8615	0.5661	0.6889	0.9214	0.4758	0.6125	0.8221	0.7115	0.795	0.9021	0.8697	0.847	0.7347	0.782	0	0	0.6884	0.4146	0.036	0.3458	0.0708	0.0545	0.6909	0.8011	8.5787	0.8175	0.894	9.6318	0.7415	0.6912	2.3785	26.7848	9.367	0.0936	22.6888	Qwen2ForCausalLM	bfloat16	apache-2.0	7.616	542	main	4	False	v1.4.1	v0.6.3.post1