Datasets:

llm-jp
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train · 832 rows

model_type stringclasses 5 values	model stringlengths 12 62	AVG float64 0.03 0.7	CG float64 0 0.68	EL float64 0 0.77	FA float64 0 0.62	HE float64 0 0.83	MC float64 0 0.95	MR float64 0 0.95	MT float64 0.19 0.86	NLI float64 0 0.97	QA float64 0 0.77	RC float64 0 0.94	SUM float64 0 0.29	aio_char_f1 float64 0 0.9	alt-e-to-j_bert_score_ja_f1 float64 0 0.88	alt-e-to-j_bleu_ja float64 0 16	alt-e-to-j_comet_wmt22 float64 0.2 0.92	alt-j-to-e_bert_score_en_f1 float64 0 0.96	alt-j-to-e_bleu_en float64 0 20.1	alt-j-to-e_comet_wmt22 float64 0.17 0.89	chabsa_set_f1 float64 0 0.77	commonsensemoralja_exact_match float64 0 0.94	jamp_exact_match float64 0 1	janli_exact_match float64 0 1	jcommonsenseqa_exact_match float64 0 0.98	jemhopqa_char_f1 float64 0 0.71	jmmlu_exact_match float64 0 0.81	jnli_exact_match float64 0 0.94	jsem_exact_match float64 0 0.96	jsick_exact_match float64 0 0.93	jsquad_char_f1 float64 0 0.94	jsts_pearson float64 -0.35 0.94	jsts_spearman float64 -0.6 0.91	kuci_exact_match float64 0 0.93	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 0.86	niilc_char_f1 float64 0 0.7	wiki_coreference_set_f1 float64 0 0.4	wiki_dependency_set_f1 float64 0 0.88	wiki_ner_set_f1 float64 0 0.33	wiki_pas_set_f1 float64 0 0.57	wiki_reading_char_f1 float64 0 0.94	wikicorpus-e-to-j_bert_score_ja_f1 float64 0 0.88	wikicorpus-e-to-j_bleu_ja float64 0 24	wikicorpus-e-to-j_comet_wmt22 float64 0.18 0.87	wikicorpus-j-to-e_bert_score_en_f1 float64 0 0.93	wikicorpus-j-to-e_bleu_en float64 0 15.9	wikicorpus-j-to-e_comet_wmt22 float64 0.17 0.79	xlsum_ja_bert_score_ja_f1 float64 0 0.79	xlsum_ja_bleu_ja float64 0 10.2	xlsum_ja_rouge1 float64 0 52.8	xlsum_ja_rouge2 float64 0 29.2	xlsum_ja_rouge2_scaling float64 0 0.29	xlsum_ja_rougeLsum float64 0 44.9	architecture stringclasses 12 values	precision stringclasses 3 values	license stringclasses 14 values	params float64 0 70.6	likes int64 0 6.19k	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	meta-llama/Meta-Llama-3-8B-Instruct	0.2164	0	0.0052	0.061	0.0016	0.3121	0.022	0.764	0.3398	0.1971	0.664	0.0138	0.1527	0.8169	8.0639	0.8448	0.9364	11.7792	0.8494	0.0052	0	0.4368	0.5681	0.5898	0.2475	0	0.2999	0.0038	0.3905	0.664	0.7159	0.7167	0.3465	0.022	0	0.012	0.0033	0.191	0	0.0038	0	0	0.301	0.7386	5.917	0.7027	0.874	8.2024	0.659	0.6158	0.341	5.7664	1.371	0.0138	5.064	LlamaForCausalLM	bfloat16	llama3	8.03	3,974	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Meta-Llama-3-8B-Instruct	0.4962	0	0.4758	0.2329	0.5383	0.753	0.732	0.8226	0.6059	0.3892	0.8946	0.0138	0.3947	0.8444	10.3245	0.8826	0.9437	14.5237	0.8623	0.4758	0.7801	0.5144	0.6431	0.8767	0.3812	0.4668	0.6109	0.6439	0.6172	0.8946	0.8216	0.8015	0.6024	0.732	0	0.012	0.6098	0.3918	0.0189	0.3115	0.0796	0.0805	0.674	0.8115	8.9124	0.8116	0.8951	9.6677	0.7337	0.6158	0.341	5.7664	1.371	0.0138	5.064	LlamaForCausalLM	bfloat16	llama3	8.03	3,974	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Llama-3.2-3B	0.2124	0.1707	0.0098	0.0394	0.0288	0.3178	0.016	0.6915	0.4239	0.1329	0.4803	0.0256	0.1056	0.7762	6.4825	0.7696	0.9114	9.3192	0.803	0.0098	0.5303	0.3793	0.5	0.1716	0.1396	0.0364	0.3016	0.6414	0.2971	0.4803	0	0	0.2515	0.016	0.1707	0.5141	0.0211	0.1536	0	0.002	0	0	0.1951	0.7016	4.4551	0.6147	0.8282	4.6005	0.5786	0.5844	1.066	12.6667	2.5479	0.0256	10.9324	LlamaForCausalLM	bfloat16	llama3.2	3.213	568	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Llama-3.2-3B	0.4225	0.1707	0.3862	0.1803	0.409	0.5501	0.616	0.7875	0.3375	0.3568	0.828	0.0256	0.3136	0.8282	9.0363	0.8587	0.9381	13.7033	0.8508	0.3862	0.7347	0.3391	0.5264	0.5898	0.4377	0.3423	0.3053	0.3327	0.1841	0.828	0.0481	0.0889	0.3259	0.616	0.1707	0.5141	0.4758	0.3191	0.0106	0.217	0.0177	0.0543	0.6019	0.7744	8.4631	0.7492	0.8819	9.0517	0.6912	0.5844	1.066	12.6667	2.5479	0.0256	10.9324	LlamaForCausalLM	bfloat16	llama3.2	3.213	568	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Llama-3.2-1B	0.2788	0.1044	0.2863	0.0576	0.254	0.3175	0.158	0.6971	0.3619	0.2338	0.5554	0.0405	0.1684	0.7838	6.7944	0.7733	0.9181	11.059	0.7996	0.2863	0.493	0.3563	0.4986	0.2082	0.3274	0.2448	0.5559	0.1667	0.2322	0.5554	-0.1145	-0.1219	0.2514	0.158	0.1044	0.5964	0.2631	0.2056	0.0039	0.0802	0	0.0196	0.1842	0.7014	6.145	0.6129	0.8536	6.4619	0.6024	0.5952	1.1235	12.2139	4.0405	0.0405	10.3837	LlamaForCausalLM	bfloat16	llama3.2	1.236	1,910	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Llama-3.2-1B	0.1055	0.1044	0	0.0343	0.0489	0.115	0.006	0.4856	0	0.1045	0.2211	0.0405	0.0655	0.6909	0.4139	0.5445	0.7509	0.2066	0.5013	0	0.1906	0	0	0.0009	0.1438	0.0124	0	0	0	0.2211	-0.0273	-0.0221	0.1533	0.006	0.1044	0.5964	0.0853	0.1042	0	0	0	0	0.1714	0.6585	0.6969	0.4661	0.7447	0.2973	0.4303	0.5952	1.1235	12.2139	4.0405	0.0405	10.3837	LlamaForCausalLM	bfloat16	llama3.2	1.236	1,910	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Llama-3.1-70B	0.5941	0.0141	0.5255	0.2959	0.6845	0.8791	0.88	0.8556	0.7397	0.6487	0.9229	0.089	0.7296	0.8715	13.7469	0.911	0.9583	18.699	0.8902	0.5255	0.9063	0.5977	0.7889	0.9419	0.6145	0.6351	0.7506	0.7961	0.765	0.9229	0.9018	0.8696	0.7891	0.88	0.0141	0.0281	0.7339	0.602	0.0565	0.3599	0.1239	0.0671	0.872	0.8556	15.4783	0.8542	0.9143	12.6925	0.767	0.6861	2.1497	22.176	8.9001	0.089	19.3898	LlamaForCausalLM	bfloat16	llama3.1	70.554	366	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Llama-3.1-70B	0.4186	0.0141	0.3199	0.1591	0.2133	0.5708	0.494	0.838	0.6159	0.3977	0.8933	0.089	0.4266	0.8508	11.455	0.9003	0.9533	16.5452	0.8831	0.3199	0.7375	0.4856	0.6778	0.5541	0.3359	0.1065	0.4281	0.7544	0.7335	0.8933	0.69	0.7523	0.421	0.494	0.0141	0.0281	0.3202	0.4306	0	0.0179	0.0177	0.0024	0.7572	0.8049	8.9761	0.8185	0.9031	10.4305	0.75	0.6861	2.1497	22.176	8.9001	0.089	19.3898	LlamaForCausalLM	bfloat16	llama3.1	70.554	366	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-1.1-7b-it	0.149	0	0.0082	0.0191	0.2669	0.3215	0.056	0.2866	0.4414	0.0915	0.1224	0.0257	0.0225	0.6226	0.0924	0.3582	0.8167	3.2642	0.3855	0.0082	0.4679	0.3391	0.5	0.2502	0.1948	0.2776	0.5534	0.5934	0.2212	0.1224	0.0158	-0.0669	0.2464	0.056	0	0	0.2562	0.0573	0	0	0.0177	0	0.0779	0.5129	0.0698	0.1785	0.765	2.6153	0.2243	0.5724	1.4248	14.2917	2.5693	0.0257	11.9555	GemmaForCausalLM	bfloat16	gemma	8.538	273	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-1.1-7b-it	0.0655	0	0	0.0167	0.0089	0.0909	0	0.3642	0	0.0603	0.1541	0.0257	0.0331	0.6638	0.2425	0.4453	0.7408	0.3664	0.3466	0	0.0075	0	0	0.0715	0.0847	0	0	0	0	0.1541	-0.0452	-0.041	0.1937	0	0	0	0.0179	0.063	0	0	0	0	0.0835	0.5913	0.6693	0.3503	0.724	0.5251	0.3145	0.5724	1.4248	14.2917	2.5693	0.0257	11.9555	GemmaForCausalLM	bfloat16	gemma	8.538	273	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-1.1-2b-it	0.0952	0	0	0.0247	0.0468	0.078	0.006	0.4931	0.0017	0.061	0.2914	0.0446	0.0499	0.6982	0.2783	0.548	0.7591	0.3118	0.5581	0	0	0	0.0083	0.0009	0.0443	0.0799	0	0	0	0.2914	0	0	0.2332	0.006	0	0	0.0136	0.0887	0	0	0	0	0.1235	0.6541	0.597	0.4451	0.7534	0.5065	0.421	0.6555	1.0033	24.5415	4.4743	0.0446	19.6346	GemmaForCausalLM	bfloat16	gemma	2.506	159	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-1.1-2b-it	0.2876	0	0.2493	0.0624	0.3238	0.3532	0.328	0.5771	0.3758	0.2095	0.6401	0.0446	0.1351	0.7513	4.6594	0.6695	0.8988	9.3482	0.7202	0.2493	0.4647	0.3333	0.5	0.3432	0.3782	0.3067	0.3164	0.5676	0.1618	0.6401	0.0602	0.074	0.2517	0.328	0	0	0.341	0.1153	0.0063	0.0289	0.0531	0.0131	0.2107	0.5938	0.1743	0.3774	0.8342	4.955	0.5412	0.6555	1.0033	24.5415	4.4743	0.0446	19.6346	GemmaForCausalLM	bfloat16	gemma	2.506	159	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-2b-it	0.274	0	0.2404	0.0464	0.3186	0.3678	0.238	0.552	0.4062	0.1644	0.631	0.0493	0.1191	0.7334	3.6557	0.6267	0.8865	7.8681	0.6728	0.2404	0.4749	0.3333	0.5	0.378	0.3014	0.2999	0.4671	0.5688	0.1618	0.631	0	0	0.2505	0.238	0	0	0.3373	0.0728	0.0033	0.0162	0.0265	0.0083	0.1778	0.6264	0.1199	0.4039	0.8268	4.9351	0.5046	0.6583	1.183	25.2621	4.9277	0.0493	19.8895	GemmaForCausalLM	bfloat16	gemma	2.506	744	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-2b-it	0.0954	0	0	0.0228	0.0002	0.1768	0	0.4571	0.0721	0.0572	0.2137	0.0493	0.0453	0.6949	0.2568	0.5367	0.7531	0.1883	0.4722	0	0.384	0	0.3458	0	0.0324	0.0003	0.0148	0	0	0.2137	-0.0554	-0.0492	0.1464	0	0	0	0.0001	0.0939	0	0	0	0	0.114	0.6539	0.4013	0.4424	0.7482	0.1519	0.377	0.6583	1.183	25.2621	4.9277	0.0493	19.8895	GemmaForCausalLM	bfloat16	gemma	2.506	744	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	google/gemma-7b	0.0383	0	0	0.0005	0.0004	0.1606	0	0.2273	0	0.0082	0.0241	0	0.0008	0.4752	0.2585	0.203	0.3384	0.4239	0.2719	0	0.0003	0	0	0.2386	0.0147	0.0006	0	0	0	0.0241	0.0017	0.0096	0.2429	0	0	0.8414	0.0002	0.0089	0	0	0	0	0.0027	0.4224	0.5033	0.188	0.4309	0.542	0.2463	0.2849	0.0329	0.0152	0	0	0.0149	GemmaForCausalLM	bfloat16	gemma	8.538	3,168	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	google/gemma-7b	0.036	0	0	0.0005	0	0.1547	0.002	0.186	0.009	0.0105	0.0327	0	0.0005	0.4809	0.131	0.2199	0.6864	2.4121	0.1721	0	0.0008	0.0057	0	0.2154	0.0279	0	0.0008	0.0328	0.0057	0.0327	-0.0083	-0.009	0.248	0.002	0	0.8414	0	0.003	0	0	0	0	0.0026	0.4446	0.1832	0.1822	0.6847	3.6753	0.17	0.2849	0.0329	0.0152	0	0	0.0149	GemmaForCausalLM	bfloat16	gemma	8.538	3,168	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-7b-it	0.045	0	0	0.0212	0.0001	0	0	0.3439	0	0.0387	0.0606	0.03	0.0244	0.6495	0.1817	0.4037	0.7356	0.0919	0.3215	0	0	0	0	0	0.0627	0	0	0	0	0.0606	0.0047	0.0112	0	0	0	0.0361	0.0002	0.0289	0	0	0	0	0.1062	0.6091	0.3699	0.3527	0.7188	0.1897	0.2978	0.6181	1.961	18.9243	3.009	0.03	15.5497	GemmaForCausalLM	bfloat16	gemma	8.538	1,174	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	google/gemma-7b-it	0.1498	0	0.004	0.0234	0.2555	0.3292	0.01	0.3307	0.5303	0.0721	0.0628	0.03	0.0463	0.6154	0.0374	0.3252	0.842	5.3864	0.4182	0.004	0.522	0.3276	0.4819	0.2154	0.125	0.2409	0.5534	0.6717	0.617	0.0628	-0.0171	-0.0193	0.2501	0.01	0	0.0361	0.2701	0.0451	0	0	0.0088	0	0.108	0.564	0.0654	0.2756	0.757	1.9916	0.3038	0.6181	1.961	18.9243	3.009	0.03	15.5497	GemmaForCausalLM	bfloat16	gemma	8.538	1,174	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	google/gemma-2b	0.2882	0	0.3342	0.0775	0.3135	0.3492	0.23	0.5792	0.3935	0.1294	0.7133	0.0506	0.0673	0.7181	6.7048	0.6014	0.9083	10.2007	0.7617	0.3342	0.5862	0.3333	0.5	0.2109	0.2467	0.2923	0.3279	0.6471	0.1593	0.7133	0.05	0.0564	0.2506	0.23	0	0.3273	0.3348	0.0741	0.0009	0.0781	0.0531	0.029	0.2265	0.6219	1.4302	0.4864	0.8032	4.9462	0.4672	0.6424	1.8859	19.7977	5.0582	0.0506	16.1766	GemmaForCausalLM	bfloat16	gemma	2.506	998	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	google/gemma-2b	0.0693	0	0	0.0349	0	0	0	0.4957	0	0.0359	0.1455	0.0506	0.0361	0.6923	0.235	0.5342	0.7523	0.3109	0.5812	0	0	0	0	0	0.0443	0	0	0	0	0.1455	0.0506	0.0499	0	0	0	0.3273	0	0.0272	0	0	0	0	0.1746	0.638	0.4192	0.4291	0.7161	0.3383	0.4384	0.6424	1.8859	19.7977	5.0582	0.0506	16.1766	GemmaForCausalLM	bfloat16	gemma	2.506	998	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-3.3-70B-Instruct	0.3749	0.0281	0.1971	0.1527	0.2179	0.849	0.026	0.8351	0.6637	0.42	0.6432	0.0918	0.4565	0.8626	13.3468	0.9045	0.956	17.4829	0.886	0.1971	0.9003	0.5891	0.5181	0.9035	0.4258	0.1053	0.597	0.791	0.8232	0.6432	0.8824	0.853	0.7431	0.026	0.0281	0.0522	0.3304	0.3777	0.0032	0.0266	0.0442	0.0023	0.6871	0.8091	10.7789	0.8156	0.8966	11.1103	0.7344	0.6878	3.1368	22.6097	9.1828	0.0918	20.1245	LlamaForCausalLM	bfloat16	llama3.3	70.554	2,335	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-3.3-70B-Instruct	0.6145	0.0281	0.5723	0.2659	0.7714	0.8874	0.944	0.8519	0.8016	0.6412	0.9042	0.0918	0.7084	0.8671	13.5853	0.9095	0.9577	18.1284	0.888	0.5723	0.9121	0.6724	0.9125	0.9455	0.6528	0.7266	0.8114	0.7942	0.8175	0.9042	0.8833	0.8483	0.8046	0.944	0.0281	0.0522	0.8162	0.5625	0.0418	0.3363	0.0442	0.0568	0.8501	0.8502	15.8625	0.8517	0.9089	12.3046	0.7584	0.6878	3.1368	22.6097	9.1828	0.0918	20.1245	LlamaForCausalLM	bfloat16	llama3.3	70.554	2,335	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Meta-Llama-3-70B-Instruct	0.6257	0.2892	0.5891	0.2922	0.7256	0.8576	0.922	0.8509	0.7307	0.6125	0.9167	0.0957	0.673	0.8644	12.538	0.9044	0.9544	16.8976	0.8836	0.5891	0.881	0.6839	0.7194	0.9419	0.6102	0.6721	0.6873	0.779	0.7836	0.9167	0.8834	0.8525	0.7499	0.922	0.2892	0.4177	0.7792	0.5544	0.0416	0.3764	0.1239	0.0798	0.8393	0.8346	11.3104	0.8471	0.9097	11.0488	0.7685	0.6943	2.0042	24.8641	9.5922	0.0957	21.5437	LlamaForCausalLM	bfloat16	llama3	70.554	1,472	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Meta-Llama-3-70B-Instruct	0.5107	0.2892	0.242	0.1712	0.5743	0.7024	0.756	0.8417	0.6258	0.4434	0.8756	0.0957	0.484	0.8584	11.9451	0.9046	0.9475	15.5203	0.8733	0.242	0.7365	0.5345	0.6097	0.7909	0.381	0.5304	0.4737	0.7544	0.7566	0.8756	0.8678	0.8315	0.5799	0.756	0.2892	0.4177	0.6183	0.4652	0	0.0073	0.0531	0.0082	0.7874	0.8105	8.8033	0.8318	0.9034	10.031	0.7574	0.6943	2.0042	24.8641	9.5922	0.0957	21.5437	LlamaForCausalLM	bfloat16	llama3	70.554	1,472	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Meta-Llama-3-70B	0.6273	0.2992	0.5339	0.2942	0.718	0.8799	0.948	0.8531	0.7315	0.6465	0.9212	0.0745	0.7347	0.8708	13.9748	0.9088	0.9581	18.9863	0.8888	0.5339	0.9013	0.5891	0.7806	0.9473	0.6056	0.6919	0.7079	0.7942	0.7857	0.9212	0.8903	0.855	0.7911	0.948	0.2992	0.4659	0.7441	0.5991	0.0306	0.3763	0.1416	0.0545	0.8682	0.8584	16.1156	0.8554	0.9138	12.5835	0.7594	0.6697	2.0276	18.0392	7.4331	0.0745	15.9677	LlamaForCausalLM	bfloat16	llama3	70.554	859	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Meta-Llama-3-70B	0.5012	0.2992	0.3387	0.162	0.4276	0.6513	0.742	0.8352	0.603	0.4888	0.8908	0.0745	0.5411	0.8503	11.5686	0.898	0.9544	17.117	0.884	0.3387	0.7928	0.4626	0.6528	0.6765	0.4114	0.3849	0.3936	0.7475	0.7587	0.8908	0.7909	0.8021	0.4846	0.742	0.2992	0.4659	0.4702	0.5138	0	0.0193	0.0177	0.0064	0.7668	0.81	9.5953	0.8131	0.9041	10.688	0.7458	0.6697	2.0276	18.0392	7.4331	0.0745	15.9677	LlamaForCausalLM	bfloat16	llama3	70.554	859	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Meta-Llama-3-8B	0.4886	0.0181	0.4059	0.2451	0.5186	0.668	0.704	0.8244	0.6068	0.4325	0.8889	0.0625	0.4481	0.8511	11.7555	0.8829	0.9494	15.7335	0.8733	0.4059	0.6568	0.454	0.5986	0.8293	0.4521	0.4473	0.6085	0.7317	0.6414	0.8889	0.7472	0.7306	0.5178	0.704	0.0181	0.0502	0.5899	0.3972	0.0084	0.3696	0.0531	0.0536	0.7409	0.8146	11.0876	0.8053	0.9005	11.05	0.7361	0.6283	1.7042	15.2962	6.2471	0.0625	13.5321	LlamaForCausalLM	bfloat16	llama3	8.03	6,187	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Meta-Llama-3-8B	0.293	0.0181	0.0194	0.0514	0.2166	0.3855	0.274	0.7839	0.3773	0.2665	0.7677	0.0625	0.265	0.8269	9.5102	0.861	0.9423	13.0823	0.8607	0.0194	0.5529	0.3276	0.5	0.3342	0.2906	0.1401	0.1619	0.6566	0.2403	0.7677	0.346	0.3449	0.2695	0.274	0.0181	0.0502	0.2932	0.2438	0	0.0006	0	0	0.2562	0.7569	7.1002	0.7336	0.8746	8.1538	0.6805	0.6283	1.7042	15.2962	6.2471	0.0625	13.5321	LlamaForCausalLM	bfloat16	llama3	8.03	6,187	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	llm-jp/llm-jp-3.1-13b-instruct4	0.6489	0.0281	0.7513	0.6006	0.5413	0.9395	0.72	0.8517	0.9625	0.6931	0.9427	0.1075	0.8045	0.8717	14.9427	0.9028	0.947	17.8751	0.864	0.7513	0.9376	0.9971	1	0.9598	0.6372	0.5267	0.9433	0.9609	0.9111	0.9427	0.9352	0.9071	0.9212	0.72	0.0281	0.0643	0.556	0.6375	0.3544	0.879	0.3274	0.4999	0.9421	0.8683	21.9099	0.8555	0.9249	15.3226	0.7845	0.7001	2.6706	31.4294	10.749	0.1075	26.3431	LlamaForCausalLM	bfloat16	apache-2.0	13.708	3	main	4	True	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	llm-jp/llm-jp-3.1-13b-instruct4	0.6525	0.0281	0.7652	0.6207	0.53	0.945	0.728	0.8501	0.965	0.6929	0.9448	0.1075	0.8068	0.8624	15.6982	0.8911	0.9443	18.4501	0.8552	0.7652	0.9384	0.9971	1	0.9705	0.6352	0.5078	0.94	0.9621	0.9255	0.9448	0.9375	0.9092	0.9262	0.728	0.0281	0.0643	0.5523	0.6368	0.4014	0.882	0.3097	0.5677	0.9425	0.8767	24.0066	0.864	0.9276	15.8636	0.7902	0.7001	2.6706	31.4294	10.749	0.1075	26.3431	LlamaForCausalLM	bfloat16	apache-2.0	13.708	3	main	0	True	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	llm-jp/llm-jp-3.1-1.8b-instruct4	0.5788	0	0.6167	0.5125	0.4345	0.8995	0.56	0.8458	0.9207	0.5653	0.924	0.0876	0.6161	0.8691	14.7817	0.9002	0.9481	15.9402	0.8705	0.6167	0.8833	0.9368	1	0.9294	0.5416	0.4293	0.908	0.8737	0.8851	0.924	0.9244	0.8961	0.8858	0.56	0	0	0.4398	0.5382	0.2833	0.828	0.1416	0.4029	0.9066	0.8568	19.6487	0.8452	0.9167	13.916	0.7672	0.6856	2.2083	25.6171	8.7508	0.0876	21.5264	LlamaForCausalLM	bfloat16	apache-2.0	1.868	1	main	4	True	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	llm-jp/llm-jp-3.1-1.8b-instruct4	0.5788	0	0.6494	0.5384	0.4216	0.9041	0.506	0.8498	0.9244	0.5596	0.9257	0.0876	0.6106	0.8701	14.1502	0.9003	0.9503	17.1237	0.8734	0.6494	0.89	0.9339	1	0.9339	0.5337	0.414	0.9092	0.8782	0.9005	0.9257	0.9267	0.8975	0.8885	0.506	0	0	0.4293	0.5346	0.2777	0.8565	0.2035	0.4376	0.9166	0.8618	20.4743	0.8499	0.9215	14.6513	0.7756	0.6856	2.2083	25.6171	8.7508	0.0876	21.5264	LlamaForCausalLM	bfloat16	apache-2.0	1.868	1	main	0	True	v1.4.1	v0.6.3.post1

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