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train · 56 rows

model_type stringclasses 2 values	model stringlengths 19 49	AVG float64 0.14 0.67	CG float64 0 0.6	EL float64 0 0.59	FA float64 0.03 0.34	HE float64 0 0.78	MC float64 0 0.91	MR float64 0 0.94	MT float64 0.47 0.86	NLI float64 0 0.81	QA float64 0.11 0.72	RC float64 0.45 0.93	SUM float64 0.01 0.14	aio_char_f1 float64 0.07 0.86	alt-e-to-j_bert_score_ja_f1 float64 0.63 0.88	alt-e-to-j_bleu_ja float64 2.21 15.3	alt-e-to-j_comet_wmt22 float64 0.5 0.92	alt-j-to-e_bert_score_en_f1 float64 0.78 0.96	alt-j-to-e_bleu_en float64 3.17 19.4	alt-j-to-e_comet_wmt22 float64 0.45 0.89	chabsa_set_f1 float64 0 0.59	commonsensemoralja_exact_match float64 0 0.93	jamp_exact_match float64 0 0.68	janli_exact_match float64 0 0.87	jcommonsenseqa_exact_match float64 0 0.96	jemhopqa_char_f1 float64 0.01 0.64	jmmlu_exact_match float64 0 0.75	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 0.45 0.93	jsts_pearson float64 -0.09 0.9	jsts_spearman float64 -0.09 0.88	kuci_exact_match float64 0 0.84	mawps_exact_match float64 0 0.94	mbpp_code_exec float64 0 0.6	mbpp_pylint_check float64 0 0.97	mmlu_en_exact_match float64 0 0.81	niilc_char_f1 float64 0.1 0.66	wiki_coreference_set_f1 float64 0 0.1	wiki_dependency_set_f1 float64 0 0.47	wiki_ner_set_f1 float64 0 0.13	wiki_pas_set_f1 float64 0 0.11	wiki_reading_char_f1 float64 0.17 0.91	wikicorpus-e-to-j_bert_score_ja_f1 float64 0.59 0.85	wikicorpus-e-to-j_bleu_ja float64 1.81 16.8	wikicorpus-e-to-j_comet_wmt22 float64 0.42 0.85	wikicorpus-j-to-e_bert_score_en_f1 float64 0.77 0.91	wikicorpus-j-to-e_bleu_en float64 2.61 12.9	wikicorpus-j-to-e_comet_wmt22 float64 0.41 0.77	xlsum_ja_bert_score_ja_f1 float64 0.59 0.72	xlsum_ja_bleu_ja float64 0.4 4.15	xlsum_ja_rouge1 float64 8.84 37.7	xlsum_ja_rouge2 float64 1.35 14.4	xlsum_ja_rouge2_scaling float64 0.01 0.14	xlsum_ja_rougeLsum float64 7.54 30.3	architecture stringclasses 5 values	precision stringclasses 2 values	license stringclasses 7 values	params float64 1.87 70.6	likes int64 0 3.06k	revision stringclasses 1 value	num_few_shot int64 0 4	add_special_tokens stringclasses 1 value	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

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