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train · 468 rows

model_type stringclasses 5 values	model stringlengths 13 62	AVG float64 0.04 0.7	CG float64 0 0.68	EL float64 0 0.62	FA float64 0 0.35	HE float64 0 0.79	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 0.77	RC float64 0.04 0.93	SUM float64 0 0.29	aio_char_f1 float64 0 0.9	alt-e-to-j_bert_score_ja_f1 float64 0.26 0.88	alt-e-to-j_bleu_ja float64 0.32 16	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 0.02 20.1	alt-j-to-e_comet_wmt22 float64 0.3 0.89	chabsa_set_f1 float64 0 0.62	commonsensemoralja_exact_match float64 0 0.94	jamp_exact_match float64 0 0.74	janli_exact_match float64 0 0.95	jcommonsenseqa_exact_match float64 0 0.97	jemhopqa_char_f1 float64 0 0.71	jmmlu_exact_match float64 0 0.78	jnli_exact_match float64 0 0.91	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 -0.23 0.91	jsts_spearman float64 -0.22 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 0.82	niilc_char_f1 float64 0.01 0.7	wiki_coreference_set_f1 float64 0 0.13	wiki_dependency_set_f1 float64 0 0.55	wiki_ner_set_f1 float64 0 0.19	wiki_pas_set_f1 float64 0 0.12	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 18.3	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 13.8	wikicorpus-j-to-e_comet_wmt22 float64 0.28 0.78	xlsum_ja_bert_score_ja_f1 float64 0 0.79	xlsum_ja_bleu_ja float64 0 10.2	xlsum_ja_rouge1 float64 0.05 52.8	xlsum_ja_rouge2 float64 0.01 29.2	xlsum_ja_rouge2_scaling float64 0 0.29	xlsum_ja_rougeLsum float64 0.05 44.9	architecture stringclasses 11 values	precision stringclasses 2 values	license stringclasses 12 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	HuggingFaceTB/SmolLM2-1.7B-Instruct	0.1125	0.0201	0	0.0419	0.0001	0.1114	0	0.4906	0.2178	0.0929	0.202	0.0609	0.0637	0.6445	2.171	0.4996	0.8176	4.2536	0.5849	0	0.1375	0.1609	0.0389	0.0554	0.1303	0	0.2067	0.5739	0.1086	0.202	0	0	0.1414	0	0.0201	0.0643	0.0001	0.0846	0	0	0	0	0.2096	0.5907	1.2672	0.4391	0.7696	2.0614	0.4387	0.6474	1.3966	22.9487	6.0997	0.0609	19.3158	LlamaForCausalLM	bfloat16	apache-2.0	1.711	386	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	HuggingFaceTB/SmolLM2-1.7B-Instruct	0.3132	0.0201	0.3	0.0601	0.372	0.3895	0.358	0.598	0.4878	0.1776	0.6213	0.0609	0.1069	0.7141	4.237	0.5577	0.9007	9.3078	0.7489	0.3	0.4677	0.3822	0.4944	0.4013	0.2837	0.2799	0.5464	0.5221	0.4938	0.6213	0.0885	0.0425	0.2997	0.358	0.0201	0.0643	0.4642	0.1422	0.0067	0.0701	0.0177	0.018	0.1878	0.6428	4.22	0.4695	0.8551	6.7407	0.6158	0.6474	1.3966	22.9487	6.0997	0.0609	19.3158	LlamaForCausalLM	bfloat16	apache-2.0	1.711	386	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	microsoft/Phi-3.5-mini-instruct	0.5115	0.3333	0.4293	0.1665	0.5605	0.7351	0.668	0.8029	0.6463	0.2988	0.8783	0.1073	0.2736	0.8315	9.2633	0.8664	0.9357	13.052	0.8509	0.4293	0.8094	0.4799	0.6444	0.8418	0.3278	0.4696	0.7399	0.7456	0.6219	0.8783	0.8708	0.8408	0.5542	0.668	0.3333	0.5743	0.6513	0.295	0.0031	0.2352	0.0708	0.0295	0.4938	0.7752	7.0194	0.7779	0.8853	8.5456	0.7163	0.7067	2.5421	29.953	10.7278	0.1073	25.3397	Phi3ForCausalLM	bfloat16	mit	3.821	659	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	microsoft/Phi-3.5-mini-instruct	0.4079	0.3333	0	0.0694	0.2764	0.6565	0.578	0.7483	0.609	0.2606	0.8477	0.1073	0.2351	0.8141	7.7471	0.8517	0.842	6.1533	0.766	0	0.6728	0.4856	0.6056	0.7819	0.2692	0.1717	0.6635	0.7279	0.5622	0.8477	0.863	0.8321	0.5146	0.578	0.3333	0.5743	0.3811	0.2776	0.0033	0	0	0	0.3439	0.7519	5.8201	0.7556	0.8121	4.1232	0.6198	0.7067	2.5421	29.953	10.7278	0.1073	25.3397	Phi3ForCausalLM	bfloat16	mit	3.821	659	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Llama-2-7b-hf	0.3716	0	0.4038	0.1244	0.294	0.401	0.406	0.7793	0.4439	0.3807	0.7993	0.0552	0.3322	0.8228	9.1254	0.8494	0.9394	14.3971	0.8528	0.4038	0.7059	0.3707	0.5736	0.2547	0.4849	0.2858	0.3611	0.7027	0.2113	0.7993	0.1678	0.1723	0.2423	0.406	0	0	0.3022	0.3249	0	0.2651	0	0.0307	0.3265	0.7663	8.5506	0.7363	0.8784	9.0994	0.6789	0.6298	1.2545	18.1639	5.5316	0.0552	15.3683	LlamaForCausalLM	float16	llama2	6.738	1,816	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Llama-2-7b-hf	0.1687	0	0	0.0481	0.0018	0.3233	0	0.6016	0.3535	0.1424	0.3304	0.0552	0.114	0.7166	3.966	0.6505	0.8124	4.0869	0.7066	0	0.5316	0.3276	0.5	0.1868	0.1472	0.0017	0.1426	0.5764	0.2208	0.3304	-0.0585	-0.0586	0.2515	0	0	0	0.0019	0.1659	0	0	0	0	0.2407	0.6502	2.8162	0.5334	0.761	1.1278	0.5158	0.6298	1.2545	18.1639	5.5316	0.0552	15.3683	LlamaForCausalLM	float16	llama2	6.738	1,816	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Llama-2-13b-hf	0.2113	0	0	0.0471	0.0831	0.2704	0.11	0.707	0.3721	0.2367	0.4661	0.032	0.2265	0.7642	6.7761	0.7388	0.9273	11.8894	0.8358	0	0.5321	0.3276	0.5	0.0277	0.2185	0.1135	0.145	0.6673	0.2208	0.4661	0.1324	0.1054	0.2513	0.11	0	0	0.0526	0.2652	0	0	0	0	0.2353	0.6947	4.2536	0.611	0.8659	7.1712	0.6422	0.5954	0.7569	9.5024	3.1942	0.032	8.1023	LlamaForCausalLM	float16	llama2	13.016	575	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Llama-2-13b-hf	0.426	0	0.4266	0.1716	0.4522	0.573	0.532	0.8117	0.3877	0.4342	0.8646	0.032	0.4495	0.8421	10.4674	0.8797	0.9454	15.5483	0.865	0.4266	0.7074	0.3276	0.5264	0.6908	0.4483	0.3982	0.1693	0.6818	0.2336	0.8646	0.3386	0.3693	0.3209	0.532	0	0	0.5061	0.4049	0.0081	0.3698	0.0354	0.024	0.4209	0.7923	9.6327	0.7813	0.8944	9.9996	0.721	0.5954	0.7569	9.5024	3.1942	0.032	8.1023	LlamaForCausalLM	float16	llama2	13.016	575	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	HuggingFaceTB/SmolLM2-135M-Instruct	0.0512	0	0	0.0206	0	0.0212	0	0.3867	0	0.0695	0.0405	0.0245	0.0458	0.619	0.8368	0.4523	0.7516	0.0258	0.3719	0	0	0	0	0.0054	0.0975	0	0	0	0	0.0405	-0.012	-0.0051	0.0582	0	0	0	0	0.0653	0	0	0	0	0.1031	0.5712	0.7741	0.4006	0.7339	0.0346	0.322	0.5529	1.1043	13.6896	2.455	0.0245	10.1232	LlamaForCausalLM	bfloat16	apache-2.0	0.135	64	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	HuggingFaceTB/SmolLM2-135M-Instruct	0.1564	0	0.0467	0.0258	0.2423	0.2952	0.018	0.3657	0.4649	0.0988	0.1389	0.0245	0.0579	0.5877	1.8208	0.3401	0.8381	5.289	0.4561	0.0467	0.4729	0.3161	0.4819	0.1698	0.1584	0.242	0.5534	0.6717	0.3012	0.1389	0	0	0.2429	0.018	0	0	0.2426	0.0802	0.0014	0.0023	0	0	0.1254	0.5456	0.165	0.3184	0.7572	3.5477	0.3482	0.5529	1.1043	13.6896	2.455	0.0245	10.1232	LlamaForCausalLM	bfloat16	apache-2.0	0.135	64	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Llama-2-70b-hf	0.3667	0	0.0993	0.0968	0.4288	0.4773	0.432	0.801	0.4036	0.4217	0.8618	0.0109	0.4475	0.8347	10.5531	0.8733	0.9486	15.0629	0.8718	0.0993	0.5321	0.4397	0.5236	0.471	0.4006	0.3095	0.32	0.4053	0.3292	0.8618	0.6347	0.6299	0.429	0.432	0	0	0.5481	0.417	0.005	0.0007	0	0	0.4783	0.7794	9.0032	0.769	0.8801	9.3402	0.6901	0.4141	0.3545	6.0591	1.0916	0.0109	5.3838	LlamaForCausalLM	float16	llama2	68.977	834	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	meta-llama/Llama-2-70b-hf	0.5431	0	0.5042	0.2643	0.6021	0.8048	0.758	0.8421	0.6982	0.5766	0.9123	0.0109	0.6717	0.8629	12.2736	0.9025	0.9549	18.0186	0.8828	0.5042	0.8292	0.5747	0.7708	0.8651	0.5139	0.5431	0.7654	0.649	0.7309	0.9123	0.8402	0.8032	0.7201	0.758	0	0	0.6612	0.5443	0.01	0.3707	0.1327	0.0635	0.7448	0.8415	14.17	0.8393	0.9071	11.7077	0.744	0.4141	0.3545	6.0591	1.0916	0.0109	5.3838	LlamaForCausalLM	float16	llama2	68.977	834	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-2-70b-chat-hf	0.4775	0	0.4895	0.2532	0.5196	0.5884	0.68	0.8327	0.4917	0.4515	0.9068	0.0395	0.5378	0.8499	10.2466	0.8972	0.9466	15.4067	0.8698	0.4895	0.5907	0.5345	0.65	0.7516	0.3572	0.4343	0.3985	0.512	0.3635	0.9068	0.7316	0.6826	0.423	0.68	0	0	0.6048	0.4595	0.0178	0.4502	0.115	0.0611	0.6221	0.8079	9.4403	0.8212	0.8966	9.8246	0.7427	0.6525	0.7831	10.8409	3.946	0.0395	9.4934	LlamaForCausalLM	float16	llama2	68.977	2,163	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-2-70b-chat-hf	0.2468	0	0.0057	0.0707	0.0316	0.3434	0.014	0.8115	0.4064	0.2276	0.7641	0.0395	0.1834	0.8267	9.3146	0.878	0.9428	13.6883	0.8669	0.0057	0.6518	0.3851	0.6194	0.092	0.2419	0.0121	0.1935	0.6717	0.1622	0.7641	0	0	0.2863	0.014	0	0	0.0511	0.2574	0.005	0	0	0	0.3485	0.7674	7.5851	0.7775	0.8876	8.6027	0.7237	0.6525	0.7831	10.8409	3.946	0.0395	9.4934	LlamaForCausalLM	float16	llama2	68.977	2,163	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-2-13b-chat-hf	0.4072	0.01	0.4534	0.1756	0.4334	0.4679	0.468	0.8094	0.4063	0.3749	0.8608	0.0197	0.3681	0.8251	8.6421	0.8716	0.9386	13.9265	0.8533	0.4534	0.485	0.3966	0.5458	0.6157	0.4137	0.3666	0.3114	0.4615	0.3164	0.8608	0.1138	0.1537	0.3029	0.468	0.01	0.0643	0.5001	0.343	0.0067	0.2901	0.0796	0.0402	0.4612	0.7792	7.4954	0.7907	0.8872	8.3329	0.722	0.6403	0.338	7.1771	1.9659	0.0197	5.9655	LlamaForCausalLM	float16	llama2	13.016	1,031	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-2-13b-chat-hf	0.1965	0.01	0	0.0307	0	0.2881	0.006	0.7564	0.389	0.1588	0.5032	0.0197	0.1073	0.7856	6.5379	0.8139	0.9347	11.7644	0.8521	0	0.5338	0.3563	0.5458	0.0679	0.2016	0	0.145	0.6711	0.2267	0.5032	-0.0406	-0.0202	0.2625	0.006	0.01	0.0643	0.0001	0.1674	0	0	0	0	0.1533	0.7053	4.6369	0.6646	0.8762	7.8733	0.6951	0.6403	0.338	7.1771	1.9659	0.0197	5.9655	LlamaForCausalLM	float16	llama2	13.016	1,031	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-2-7b-chat-hf	0.1775	0.004	0.0021	0.0336	0.001	0.156	0	0.7517	0.3729	0.1608	0.4117	0.0587	0.0921	0.7913	6.8156	0.8184	0.9288	10.6718	0.8371	0.0021	0.4679	0.3276	0.5	0	0.2719	0	0.145	0.6711	0.2208	0.4117	-0.0348	-0.0294	0	0	0.004	0.0181	0.0019	0.1183	0	0	0	0	0.1678	0.7131	4.1477	0.6777	0.8685	7.5446	0.6736	0.6645	1.0328	18.2948	5.8664	0.0587	15.4782	LlamaForCausalLM	float16	llama2	6.738	4,027	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	meta-llama/Llama-2-7b-chat-hf	0.3829	0.004	0.4324	0.1234	0.3912	0.4357	0.424	0.7962	0.4028	0.3133	0.83	0.0587	0.2726	0.8143	7.6973	0.8447	0.9373	12.9348	0.8543	0.4324	0.515	0.3534	0.5167	0.5264	0.403	0.3332	0.3558	0.5082	0.2797	0.83	0.0895	-0.0071	0.2657	0.424	0.004	0.0181	0.4491	0.2644	0.0108	0.2075	0.0088	0.0433	0.3466	0.7639	6.8282	0.765	0.8868	9.3614	0.7208	0.6645	1.0328	18.2948	5.8664	0.0587	15.4782	LlamaForCausalLM	float16	llama2	6.738	4,027	main	4	False	v1.4.1	v0.6.3.post1
🤝 : base merges and moerges	nitky/Llama-3.1-SuperSwallow-70B-Instruct-v0.1	0.6321	0.5743	0.2988	0.1757	0.6827	0.8723	0.886	0.8552	0.7453	0.6721	0.9109	0.2801	0.8517	0.8743	15.0175	0.9153	0.9593	19.1388	0.8903	0.2988	0.9236	0.681	0.7319	0.9187	0.5433	0.6713	0.7642	0.7778	0.7715	0.9109	0.901	0.8688	0.7746	0.886	0.5743	0.9618	0.6942	0.6212	0	0.0238	0.0619	0.0004	0.7925	0.8534	14.18	0.8583	0.9052	11.7155	0.7567	0.7878	7.2512	52.569	28.0006	0.2801	44.6053	LlamaForCausalLM	bfloat16	llama3.1	70.554	0	main	0	False	v1.4.1	v0.6.3.post1
🤝 : base merges and moerges	nitky/Llama-3.1-SuperSwallow-70B-Instruct-v0.1	0.6981	0.5743	0.5974	0.3439	0.7321	0.9174	0.934	0.864	0.7734	0.7385	0.9241	0.2801	0.8866	0.8805	15.4651	0.9187	0.9602	19.1445	0.8923	0.5974	0.9396	0.6408	0.8	0.9553	0.6498	0.7125	0.8377	0.7633	0.8255	0.9241	0.8998	0.8745	0.8572	0.934	0.5743	0.9618	0.7516	0.6792	0.1153	0.5232	0.0973	0.0772	0.9065	0.8702	18.158	0.868	0.9185	12.9365	0.7768	0.7878	7.2512	52.569	28.0006	0.2801	44.6053	LlamaForCausalLM	bfloat16	llama3.1	70.554	0	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Nurture-intelligence/kEy-llama3.1-8b-v0.1	0.5337	0.0221	0.4982	0.2367	0.5815	0.8132	0.748	0.8321	0.6821	0.4795	0.8945	0.0833	0.478	0.8483	11.1555	0.8878	0.9494	15.5348	0.8757	0.4982	0.8462	0.5144	0.7014	0.9062	0.5374	0.5363	0.7412	0.7285	0.7252	0.8945	0.7829	0.7764	0.6871	0.748	0.0221	0.0843	0.6266	0.423	0.0203	0.2674	0.0885	0.0397	0.7674	0.8159	10.7137	0.8168	0.9007	10.4068	0.7482	0.6812	2.9249	21.6587	8.3465	0.0833	19.0475	LlamaForCausalLM	bfloat16	llama3.1	8.03	0	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Nurture-intelligence/kEy-llama3.1-8b-v0.1	0.3703	0.0221	0.0396	0.1321	0.1612	0.7019	0.45	0.8046	0.5926	0.2603	0.8254	0.0833	0.228	0.818	9.2794	0.8538	0.9483	14.4787	0.875	0.0396	0.8452	0.4971	0.6389	0.7471	0.3696	0.0076	0.3965	0.7064	0.724	0.8254	0.84	0.8027	0.5136	0.45	0.0221	0.0843	0.3147	0.1834	0	0.0026	0	0	0.658	0.7652	7.9493	0.7617	0.8917	8.9791	0.7279	0.6812	2.9249	21.6587	8.3465	0.0833	19.0475	LlamaForCausalLM	bfloat16	llama3.1	8.03	0	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-0.5B-Instruct	0.3112	0	0.3188	0.0459	0.3505	0.3865	0.338	0.6754	0.3241	0.2327	0.6879	0.0633	0.1399	0.7702	6.2138	0.7381	0.9086	9.6765	0.7753	0.3188	0.4765	0.3333	0.5	0.3816	0.4004	0.3152	0.3032	0.3308	0.1532	0.6879	0.0306	0.0478	0.3015	0.338	0	0	0.3859	0.1577	0.0017	0.0251	0	0.0112	0.1917	0.6851	4.7234	0.5876	0.8518	6.795	0.6007	0.6502	1.373	19.6544	6.3429	0.0633	16.5086	Qwen2ForCausalLM	bfloat16	apache-2.0	0.494	114	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-0.5B-Instruct	0.2175	0	0	0.0439	0.1664	0.339	0.072	0.623	0.3412	0.1561	0.5873	0.0633	0.1022	0.7198	3.787	0.6594	0.8874	7.7052	0.7299	0	0.5321	0.3305	0.5	0.2332	0.2198	0.1954	0.272	0.3245	0.2789	0.5873	0.0797	0.0644	0.2517	0.072	0	0	0.1374	0.1463	0.0024	0	0	0	0.2172	0.6519	3.7086	0.5474	0.8271	5.4965	0.5551	0.6502	1.373	19.6544	6.3429	0.0633	16.5086	Qwen2ForCausalLM	bfloat16	apache-2.0	0.494	114	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-1.5B-Instruct	0.2725	0.1004	0	0.0418	0.109	0.4618	0.24	0.6687	0.5598	0.071	0.696	0.0496	0.0558	0.7385	3.0819	0.7346	0.8967	7.9193	0.763	0	0.5321	0.3736	0.4875	0.5058	0.0833	0.1423	0.5892	0.6585	0.6903	0.696	0.0666	0.0631	0.3475	0.24	0.1004	0.2711	0.0756	0.0739	0	0	0	0	0.2088	0.6756	2.4077	0.6209	0.8119	4.0423	0.5563	0.6351	1.6411	14.2275	4.9633	0.0496	12.3624	Qwen2ForCausalLM	bfloat16	apache-2.0	1.544	207	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-1.5B-Instruct	0.4431	0.1004	0.4174	0.0957	0.4958	0.6742	0.616	0.7663	0.5614	0.2457	0.8512	0.0496	0.2139	0.8074	7.9061	0.8254	0.931	12.1493	0.8358	0.4174	0.6979	0.4052	0.5903	0.8114	0.2792	0.4428	0.7219	0.6667	0.4232	0.8512	0.512	0.5023	0.5133	0.616	0.1004	0.2711	0.5487	0.2441	0.0035	0.1167	0.0088	0.0227	0.3267	0.7492	6.0899	0.7287	0.8724	7.4907	0.6754	0.6351	1.6411	14.2275	4.9633	0.0496	12.3624	Qwen2ForCausalLM	bfloat16	apache-2.0	1.544	207	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-3B-Instruct	0.2676	0.3514	0.001	0.0671	0.2758	0.4592	0.21	0.6007	0.3818	0.1736	0.3497	0.0734	0.194	0.7233	6.8982	0.7256	0.8134	11.3026	0.5163	0.001	0	0.4052	0.4458	0.7971	0.1349	0.4185	0.4967	0.0076	0.5539	0.3497	0.8526	0.8259	0.5806	0.21	0.3514	0.7189	0.133	0.1917	0.0017	0	0	0	0.3341	0.6901	5.1057	0.6727	0.7963	6.8165	0.4882	0.672	1.4822	20.4014	7.3519	0.0734	17.8105	Qwen2ForCausalLM	bfloat16	other	3.086	106	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-3B-Instruct	0.4801	0.3514	0.4735	0.1477	0.5605	0.6906	0.436	0.7301	0.6653	0.2805	0.8719	0.0734	0.2534	0.8242	9.6724	0.8503	0.8746	13.1343	0.6887	0.4735	0.5213	0.4741	0.6139	0.8785	0.2993	0.5391	0.758	0.697	0.7834	0.8719	0.8111	0.7792	0.6721	0.436	0.3514	0.7189	0.5818	0.2887	0.0446	0.1277	0.0442	0.0319	0.4902	0.7681	6.9696	0.7635	0.8447	8.1876	0.6178	0.672	1.4822	20.4014	7.3519	0.0734	17.8105	Qwen2ForCausalLM	bfloat16	other	3.086	106	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-Math-7B-Instruct	0.3184	0.01	0.0735	0.0299	0.4655	0.3971	0.766	0.5084	0.6033	0.17	0.4775	0.0007	0.0377	0.6759	1.7291	0.4147	0.8902	9.1108	0.7055	0.0735	0.5363	0.431	0.5958	0.3887	0.3739	0.4154	0.6015	0.601	0.7871	0.4775	0.1748	0.1813	0.2663	0.766	0.01	0.0241	0.5157	0.0984	0	0.0053	0.0088	0	0.1356	0.6111	2.1391	0.3768	0.832	5.8111	0.5367	0.5616	0.1476	1.4387	0.0653	0.0007	1.2408	Qwen2ForCausalLM	bfloat16	apache-2.0	7.616	39	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2.5-Math-7B-Instruct	0.1196	0.01	0	0.0192	0.0716	0.2356	0.02	0.4453	0.1726	0.0938	0.2468	0.0007	0.0266	0.6109	0.6089	0.36	0.8557	6.6075	0.5787	0	0.4749	0.0144	0.0403	0.1412	0.1896	0.1217	0.3698	0	0.4386	0.2468	-0.0907	-0.0874	0.0908	0.02	0.01	0.0241	0.0215	0.0651	0	0	0	0	0.096	0.5882	1.0247	0.3645	0.819	5.1251	0.4779	0.5616	0.1476	1.4387	0.0653	0.0007	1.2408	Qwen2ForCausalLM	bfloat16	apache-2.0	7.616	39	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Korean-Advanced-70B	0.6532	0.5321	0.5922	0.292	0.7096	0.8707	0.926	0.8485	0.7508	0.6191	0.9207	0.1239	0.6921	0.8702	14.6719	0.9066	0.958	18.1895	0.8886	0.5922	0.895	0.6609	0.8181	0.9276	0.6063	0.6659	0.7313	0.7992	0.7443	0.9207	0.8926	0.8622	0.7893	0.926	0.5321	0.9137	0.7534	0.5588	0.1073	0.3754	0.0973	0.0673	0.8124	0.8434	13.2933	0.8471	0.9104	12.386	0.7516	0.71	3.0985	32.9632	12.3839	0.1239	27.9421	LlamaForCausalLM	bfloat16	apache-2.0	70.554	0	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Korean-Advanced-70B	0.5899	0.5321	0.4123	0.101	0.6678	0.8377	0.852	0.8427	0.7522	0.4712	0.8957	0.1239	0.4827	0.8576	13.1787	0.9021	0.9527	17.3445	0.8831	0.4123	0.8715	0.6753	0.7681	0.9169	0.4586	0.6292	0.7087	0.7948	0.8141	0.8957	0.8657	0.8488	0.7247	0.852	0.5321	0.9137	0.7065	0.4723	0	0	0.0442	0.0014	0.4593	0.8281	10.9482	0.8396	0.9046	11.2471	0.7459	0.71	3.0985	32.9632	12.3839	0.1239	27.9421	LlamaForCausalLM	bfloat16	apache-2.0	70.554	0	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Korean-Advanced-56B	0.4186	0.3052	0.0137	0.0991	0.4866	0.7121	0.552	0.7339	0.5541	0.22	0.8065	0.1211	0.2716	0.8274	10.5817	0.8668	0.7833	2.146	0.7188	0.0137	0.7565	0.5029	0.65	0.8257	0.1018	0.4067	0.4404	0.7203	0.4571	0.8065	0.8657	0.8346	0.5542	0.552	0.3052	0.6526	0.5666	0.2867	0	0.0013	0	0	0.494	0.7764	8.58	0.7772	0.7671	1.9325	0.5729	0.7107	2.5837	35.0072	12.1349	0.1211	28.4508	MixtralForCausalLM	bfloat16	apache-2.0	46.703	0	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Korean-Advanced-56B	0.5377	0.3052	0.4558	0.2158	0.5823	0.7683	0.694	0.8151	0.6663	0.3946	0.896	0.1211	0.3568	0.8406	10.6758	0.8684	0.9464	16.4195	0.8694	0.4558	0.8179	0.5489	0.6875	0.8597	0.4629	0.4908	0.7128	0.7569	0.6255	0.896	0.8686	0.8198	0.6273	0.694	0.3052	0.6526	0.6737	0.3641	0.005	0.3567	0.0796	0.0552	0.5824	0.8021	10.3577	0.7956	0.8958	10.4371	0.7268	0.7107	2.5837	35.0072	12.1349	0.1211	28.4508	MixtralForCausalLM	bfloat16	apache-2.0	46.703	0	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B	0.5784	0	0.4888	0.2799	0.6729	0.8453	0.896	0.8536	0.7155	0.5921	0.9048	0.1138	0.6938	0.8721	13.9883	0.911	0.9555	18.4696	0.8854	0.4888	0.8878	0.5977	0.7556	0.9196	0.5104	0.63	0.7498	0.7734	0.701	0.9048	0.9003	0.8786	0.7285	0.896	0	0	0.7157	0.5721	0.0241	0.3752	0.1239	0.0572	0.8189	0.8492	13.3692	0.8507	0.9116	11.7373	0.7673	0.7053	2.9798	30.9162	11.3832	0.1138	26.3574	Gemma2ForCausalLM	bfloat16	apache-2.0	27.227	1	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Korean-Superb-27B	0.4752	0	0.3693	0.1546	0.4889	0.7401	0.794	0.8375	0.5963	0.4787	0.6537	0.1138	0.5243	0.8489	11.6238	0.9024	0.9493	15.7088	0.8748	0.3693	0.8367	0.5201	0.6375	0.8275	0.4597	0.4592	0.4454	0.7595	0.619	0.6537	0.8575	0.8442	0.5562	0.794	0	0	0.5187	0.452	0	0.0003	0.0177	0.0006	0.7543	0.8123	9.2255	0.8283	0.8986	9.8337	0.7443	0.7053	2.9798	30.9162	11.3832	0.1138	26.3574	Gemma2ForCausalLM	bfloat16	apache-2.0	27.227	1	main	0	False	v1.4.1	v0.6.3.post1
🤝 : base merges and moerges	Saxo/Linkbricks-Horizon-AI-Korean-LLAMA3blend-8x8b	0.1721	0.0221	0	0.0207	0.0513	0.1792	0	0.7006	0.024	0.1449	0.7038	0.046	0.0765	0.7761	6.8048	0.7483	0.9182	9.8772	0.8069	0	0.246	0	0	0.0599	0.1966	0.0034	0	0.1199	0	0.7038	0.0189	0.011	0.2319	0	0.0221	0.1365	0.0991	0.1616	0	0	0	0	0.1036	0.6901	4.5453	0.607	0.8623	7.0875	0.6401	0.6344	1.8469	14.604	4.6105	0.046	12.3083	MixtralForCausalLM	bfloat16	apache-2.0	47.491	0	main	0	False	v1.4.1	v0.6.3.post1
🤝 : base merges and moerges	Saxo/Linkbricks-Horizon-AI-Korean-LLAMA3blend-8x8b	0.4287	0.0221	0.3743	0.0344	0.5065	0.6831	0.638	0.7637	0.5358	0.2853	0.8263	0.046	0.2365	0.8091	8.1977	0.7909	0.9403	13.6463	0.8577	0.3743	0.6786	0.4626	0.5167	0.8329	0.305	0.4177	0.583	0.6591	0.4577	0.8263	0.7341	0.6883	0.5378	0.638	0.0221	0.1365	0.5953	0.3144	0	0.0586	0.0265	0.0469	0.0397	0.7536	8.0012	0.6904	0.8862	8.9768	0.7157	0.6344	1.8469	14.604	4.6105	0.046	12.3083	MixtralForCausalLM	bfloat16	apache-2.0	47.491	0	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B	0.5851	0.498	0.4856	0.2728	0.5927	0.7679	0.778	0.8345	0.7428	0.4437	0.9099	0.1104	0.4165	0.8528	11.3785	0.8934	0.9508	16.5359	0.8774	0.4856	0.7788	0.6178	0.8222	0.8499	0.5034	0.5131	0.7518	0.7538	0.7682	0.9099	0.8771	0.8301	0.6751	0.778	0.498	0.9257	0.6723	0.4111	0.0095	0.4314	0.0973	0.0754	0.7507	0.8158	10.4512	0.8228	0.9012	10.3898	0.7445	0.7033	2.6601	31.7098	11.0387	0.1104	26.7946	MistralForCausalLM	bfloat16	apache-2.0	22.247	0	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B	0.5132	0.498	0.134	0.127	0.5569	0.7256	0.712	0.8254	0.7278	0.3634	0.8646	0.1104	0.3482	0.8332	10.9112	0.8856	0.9483	14.7589	0.8744	0.134	0.8124	0.6092	0.8042	0.8034	0.4094	0.477	0.6919	0.7532	0.7804	0.8646	0.882	0.8438	0.5611	0.712	0.498	0.9257	0.6369	0.3327	0.0167	0.0036	0.0265	0.0061	0.5817	0.7895	7.8377	0.8081	0.8949	9.5267	0.7334	0.7033	2.6601	31.7098	11.0387	0.1104	26.7946	MistralForCausalLM	bfloat16	apache-2.0	22.247	0	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Groq/Llama-3-Groq-70B-Tool-Use	0.5794	0	0.5527	0.2538	0.6871	0.8549	0.888	0.8494	0.7144	0.5906	0.9028	0.0791	0.6525	0.8615	12.384	0.9042	0.9552	17.3305	0.8848	0.5527	0.893	0.6523	0.7347	0.9428	0.5614	0.6306	0.569	0.7765	0.8397	0.9028	0.8723	0.8424	0.7288	0.888	0	0	0.7436	0.558	0.0472	0.2539	0.115	0.0562	0.7966	0.8309	11.312	0.8422	0.9092	11.5112	0.7665	0.6678	1.7417	23.5293	7.895	0.0791	19.3868	LlamaForCausalLM	bfloat16	llama3	70.554	150	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Groq/Llama-3-Groq-70B-Tool-Use	0.2349	0	0.0479	0.0263	0.1835	0.6307	0.026	0.8043	0.4793	0.0769	0.23	0.0791	0.0178	0.8191	7.6383	0.8472	0.9467	14.2313	0.8706	0.0479	0.8224	0.3736	0.5097	0.706	0.1918	0.2612	0.4207	0.4028	0.6899	0.23	0.6779	0.6869	0.3637	0.026	0	0	0.1058	0.021	0	0	0	0	0.1313	0.7728	6.5564	0.7711	0.8768	8.8106	0.7284	0.6678	1.7417	23.5293	7.895	0.0791	19.3868	LlamaForCausalLM	bfloat16	llama3	70.554	150	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Superb-70B	0.0382	0	0	0.0063	0	0.0002	0	0.3028	0.0199	0.0386	0.0352	0.0173	0.0312	0.5337	0.7079	0.3192	0.7474	2.4924	0.3026	0	0	0.0603	0	0	0.0664	0	0.0345	0	0.0049	0.0352	0.187	0.1867	0.0007	0	0	0.0763	0	0.0181	0	0	0	0	0.0314	0.5103	0.5081	0.3027	0.7327	2.2188	0.2868	0.5176	0.6032	5.6811	1.7448	0.0173	4.5622	LlamaForCausalLM	bfloat16	apache-2.0	70.554	0	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Superb-70B	0.3769	0	0.4294	0.1865	0.5792	0.5504	0.004	0.4209	0.6253	0.5621	0.7706	0.0173	0.7402	0.4935	3.1239	0.2871	0.823	11.5232	0.4972	0.4294	0.5721	0.3822	0.6306	0.6935	0.3792	0.5332	0.5534	0.7424	0.8179	0.7706	0.5867	0.5814	0.3857	0.004	0	0.0763	0.6252	0.5668	0.0193	0.1452	0.0796	0.019	0.6694	0.6592	4.2524	0.5034	0.7807	5.6633	0.3959	0.5176	0.6032	5.6811	1.7448	0.0173	4.5622	LlamaForCausalLM	bfloat16	apache-2.0	70.554	0	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Superb-27B	0.4032	0.01	0.1079	0.0961	0.4781	0.5902	0.558	0.7516	0.595	0.3292	0.8155	0.1032	0.3536	0.841	11.7538	0.8846	0.8145	5.3192	0.7474	0.1079	0.6896	0.4741	0.65	0.6336	0.3612	0.3976	0.4626	0.7405	0.6477	0.8155	0.7157	0.7146	0.4475	0.558	0.01	0.0201	0.5586	0.2728	0	0	0.0088	0	0.4718	0.772	7.8411	0.7582	0.8162	5.4554	0.6161	0.6958	2.4583	28.2256	10.3175	0.1032	23.8243	Gemma2ForCausalLM	bfloat16	apache-2.0	27.227	0	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Superb-27B	0.5489	0.01	0.5032	0.2534	0.6185	0.7689	0.796	0.8392	0.7205	0.5195	0.9051	0.1032	0.6184	0.8679	13.3313	0.9029	0.9539	17.8256	0.8807	0.5032	0.8104	0.569	0.7944	0.8615	0.4728	0.5628	0.8012	0.7506	0.6872	0.9051	0.8501	0.8478	0.6349	0.796	0.01	0.0201	0.6743	0.4674	0.0351	0.3239	0.1239	0.0716	0.7127	0.8291	11.6168	0.8233	0.9086	11.9401	0.75	0.6958	2.4583	28.2256	10.3175	0.1032	23.8243	Gemma2ForCausalLM	bfloat16	apache-2.0	27.227	0	main	4	False	v1.4.1	v0.6.3.post1
🤝 : base merges and moerges	DataPilot/Llama3.1-ArrowSE-v0.4	0.3805	0.01	0.0869	0.1288	0.3365	0.5511	0.446	0.8173	0.5798	0.3142	0.8138	0.1012	0.3983	0.8414	9.5501	0.885	0.9443	13.4254	0.8683	0.0869	0.6062	0.4828	0.5597	0.5719	0.3555	0.296	0.5173	0.7134	0.6257	0.8138	0.7019	0.7031	0.4753	0.446	0.01	0.0562	0.3771	0.1889	0	0.0037	0	0.0017	0.6384	0.7768	7.2742	0.7853	0.8925	9.0989	0.7305	0.6964	2.6875	26.2482	10.1332	0.1012	22.9713	LlamaForCausalLM	bfloat16	llama3	8.03	12	main	0	False	v1.4.1	v0.6.3.post1
🤝 : base merges and moerges	DataPilot/Llama3.1-ArrowSE-v0.4	0.5353	0.01	0.5226	0.2403	0.5439	0.8209	0.732	0.8297	0.6535	0.5314	0.9031	0.1012	0.5902	0.8449	10.75	0.8804	0.9468	14.7745	0.8713	0.5226	0.8317	0.4971	0.6444	0.9142	0.5258	0.5075	0.7765	0.7165	0.633	0.9031	0.822	0.7741	0.7168	0.732	0.01	0.0562	0.5803	0.4781	0.0133	0.2512	0.0619	0.0596	0.8155	0.8118	9.9136	0.8201	0.8998	10.2738	0.7469	0.6964	2.6875	26.2482	10.1332	0.1012	22.9713	LlamaForCausalLM	bfloat16	llama3	8.03	12	main	4	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Japanese-Advanced-70B	0.6143	0.5783	0.3583	0.1572	0.709	0.8749	0.904	0.8457	0.7753	0.547	0.9092	0.0987	0.7101	0.8613	13.8252	0.9037	0.9599	18.7713	0.8914	0.3583	0.9053	0.6954	0.7958	0.9428	0.4228	0.6812	0.7909	0.7967	0.7978	0.9092	0.8968	0.8638	0.7765	0.904	0.5783	0.994	0.7368	0.5081	0	0.0206	0.0265	0.0072	0.7315	0.829	12.3399	0.8306	0.9095	12.2603	0.7572	0.6875	3.3843	26.3633	9.8786	0.0987	22.5546	LlamaForCausalLM	bfloat16	apache-2.0	70.554	0	main	0	False	v1.4.1	v0.6.3.post1
🔶 : fine-tuned	Saxo/Linkbricks-Horizon-AI-Japanese-Advanced-70B	0.678	0.5783	0.5763	0.3458	0.743	0.8971	0.948	0.8516	0.786	0.7098	0.9235	0.0987	0.8565	0.8711	14.5233	0.9081	0.961	19.5881	0.893	0.5763	0.9091	0.6609	0.8861	0.95	0.6051	0.7159	0.7597	0.791	0.8324	0.9235	0.9017	0.8741	0.8323	0.948	0.5783	0.994	0.7701	0.668	0.133	0.5174	0.115	0.0726	0.8911	0.8477	15.1291	0.8397	0.9159	12.8306	0.7657	0.6875	3.3843	26.3633	9.8786	0.0987	22.5546	LlamaForCausalLM	bfloat16	apache-2.0	70.554	0	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2.5-1.5B	0.2491	0.2369	0	0.0509	0.1798	0.4052	0.06	0.6805	0.539	0.0543	0.4533	0.0806	0.0612	0.7507	4.3047	0.7409	0.8971	7.5066	0.7932	0	0.5321	0.3477	0.5	0.412	0	0.0401	0.5571	0.6717	0.6186	0.4533	0	0	0.2717	0.06	0.2369	0.6245	0.3195	0.1019	0	0.0013	0	0	0.2535	0.6731	2.6965	0.6005	0.8219	4.2373	0.5873	0.6768	1.6616	22.9674	8.0693	0.0806	19.6177	Qwen2ForCausalLM	bfloat16	apache-2.0	1.544	47	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2.5-1.5B	0.4527	0.2369	0.3987	0.0805	0.4975	0.6418	0.614	0.7562	0.5518	0.2726	0.849	0.0806	0.2178	0.8082	7.559	0.8353	0.9326	12.2128	0.8418	0.3987	0.6328	0.431	0.5222	0.8025	0.3618	0.4414	0.7194	0.7058	0.3806	0.849	0.4837	0.4659	0.4902	0.614	0.2369	0.6245	0.5537	0.2384	0.0025	0.1087	0.0088	0.0307	0.2519	0.7315	6.0025	0.6865	0.8702	7.2415	0.6615	0.6768	1.6616	22.9674	8.0693	0.0806	19.6177	Qwen2ForCausalLM	bfloat16	apache-2.0	1.544	47	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2.5-3B	0.3406	0.4578	0	0.0507	0.3996	0.5643	0.056	0.7402	0.5557	0.1323	0.6944	0.0954	0.104	0.7964	6.9458	0.8142	0.9095	9.5434	0.8262	0	0.5681	0.3764	0.5181	0.6819	0.146	0.3629	0.6343	0.6471	0.6024	0.6944	0.5896	0.6394	0.4428	0.056	0.4578	0.9076	0.4364	0.1469	0	0	0	0	0.2537	0.7239	4.8137	0.6844	0.8361	4.9553	0.6359	0.6905	1.7988	27.3375	9.5466	0.0954	23.1391	Qwen2ForCausalLM	bfloat16	other	3.086	40	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2.5-3B	0.523	0.4578	0.4363	0.1307	0.5721	0.7298	0.652	0.7946	0.6547	0.3515	0.8775	0.0954	0.2818	0.8264	9.4681	0.8626	0.942	13.5994	0.8623	0.4363	0.8016	0.4655	0.6056	0.8454	0.4773	0.5309	0.6906	0.7323	0.7796	0.8775	0.8128	0.7891	0.5425	0.652	0.4578	0.9076	0.6134	0.2954	0.0334	0.1174	0.0354	0.0362	0.4311	0.7648	7.1679	0.7499	0.884	8.7391	0.7037	0.6905	1.7988	27.3375	9.5466	0.0954	23.1391	Qwen2ForCausalLM	bfloat16	other	3.086	40	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2.5-7B	0.3405	0.0161	0.1551	0.0581	0.4239	0.6685	0.202	0.7973	0.6331	0.2246	0.47	0.0968	0.2371	0.8215	8.4662	0.8716	0.9366	13.4706	0.8402	0.1551	0.7062	0.4741	0.5889	0.7122	0.2563	0.3869	0.6146	0.7588	0.7292	0.47	0.837	0.8182	0.5872	0.202	0.0161	0.0301	0.4609	0.1804	0	0.0019	0	0	0.2885	0.7565	6.0992	0.7721	0.879	7.8584	0.7053	0.6931	2.3301	25.1482	9.6837	0.0968	21.9673	Qwen2ForCausalLM	bfloat16	apache-2.0	7.616	80	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2.5-7B	0.5415	0.0161	0.4283	0.2223	0.6666	0.8379	0.792	0.8278	0.736	0.4256	0.9066	0.0968	0.3938	0.8487	10.8301	0.8925	0.9504	15.7946	0.8779	0.4283	0.8657	0.5891	0.6972	0.9223	0.4566	0.6365	0.8332	0.7519	0.8084	0.9066	0.8611	0.8322	0.7258	0.792	0.0161	0.0301	0.6967	0.4265	0.0128	0.3366	0.0531	0.0548	0.6541	0.7976	8.6186	0.8058	0.8955	9.8599	0.7349	0.6931	2.3301	25.1482	9.6837	0.0968	21.9673	Qwen2ForCausalLM	bfloat16	apache-2.0	7.616	80	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2.5-14B	0.64	0.5763	0.5457	0.2571	0.7196	0.8852	0.878	0.8444	0.7555	0.5439	0.9213	0.1131	0.5462	0.8624	11.8535	0.9063	0.9556	17.5633	0.8862	0.5457	0.9036	0.6264	0.7722	0.9598	0.5515	0.6922	0.8283	0.7702	0.7806	0.9213	0.8994	0.8718	0.7922	0.878	0.5763	0.8916	0.7471	0.5341	0.0389	0.3583	0.0531	0.06	0.7752	0.823	10.6974	0.8359	0.9015	10.8796	0.7493	0.704	2.5569	29.7912	11.3442	0.1131	25.5429	Qwen2ForCausalLM	bfloat16	apache-2.0	14.77	44	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2.5-14B	0.5301	0.5763	0.2738	0.139	0.3851	0.8007	0.768	0.8298	0.7048	0.3818	0.8592	0.1131	0.4457	0.8436	10.487	0.8953	0.9536	15.967	0.8831	0.2738	0.8184	0.5948	0.7181	0.9053	0.3196	0.5784	0.7305	0.7266	0.7538	0.8592	0.8867	0.8563	0.6784	0.768	0.5763	0.8916	0.1918	0.3801	0.001	0.0023	0.0265	0	0.6653	0.785	7.9777	0.808	0.8909	9.3913	0.7328	0.704	2.5569	29.7912	11.3442	0.1131	25.5429	Qwen2ForCausalLM	bfloat16	apache-2.0	14.77	44	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2.5-32B	0.475	0	0.216	0.1525	0.2789	0.8509	0.748	0.838	0.7234	0.3905	0.9066	0.1205	0.3469	0.8501	12.3975	0.9029	0.9551	16.6235	0.8855	0.216	0.8933	0.5862	0.7306	0.9169	0.4224	0.3293	0.7979	0.7784	0.7238	0.9066	0.8875	0.8563	0.7426	0.748	0	0	0.2285	0.4021	0.005	0.0022	0.0354	0.0006	0.7194	0.7937	8.6852	0.8211	0.8952	9.5585	0.7423	0.7091	2.6689	32.4883	12.0549	0.1205	27.3971	Qwen2ForCausalLM	bfloat16	apache-2.0	32.764	50	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2.5-32B	0.606	0	0.558	0.2789	0.7714	0.8927	0.922	0.8496	0.781	0.566	0.9254	0.1205	0.5788	0.8663	12.9367	0.9097	0.9572	17.9768	0.8879	0.558	0.8948	0.6667	0.8153	0.9598	0.5727	0.7509	0.8866	0.7942	0.742	0.9254	0.9084	0.881	0.8235	0.922	0	0	0.792	0.5464	0.0194	0.3497	0.1239	0.0827	0.8187	0.8408	13.6989	0.8426	0.9071	11.5011	0.7582	0.7091	2.6689	32.4883	12.0549	0.1205	27.3971	Qwen2ForCausalLM	bfloat16	apache-2.0	32.764	50	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2-0.5B	0.2949	0.0602	0.2686	0.0443	0.3112	0.363	0.112	0.6094	0.5137	0.2384	0.6638	0.0591	0.1361	0.741	5.7629	0.6806	0.8992	8.9861	0.7462	0.2686	0.5316	0.3678	0.5	0.3083	0.4122	0.2773	0.5534	0.673	0.4743	0.6638	0.0347	0.0278	0.2492	0.112	0.0602	0.3072	0.345	0.1668	0.002	0.017	0.0088	0.0108	0.183	0.6161	3.7635	0.4771	0.8302	5.6157	0.5337	0.646	1.4349	19.0811	5.8989	0.0591	15.7662	Qwen2ForCausalLM	bfloat16	apache-2.0	0.494	117	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2-0.5B	0.1231	0.0602	0	0.0393	0.0091	0.2466	0.01	0.529	0.03	0.1042	0.266	0.0591	0.0638	0.673	1.8786	0.5619	0.7551	0.2936	0.614	0	0.4411	0.0029	0.0014	0.0894	0.1485	0.0152	0.0012	0.1446	0	0.266	-0.0319	-0.0703	0.2092	0.01	0.0602	0.3072	0.003	0.1005	0	0	0	0	0.1967	0.6312	1.9647	0.4636	0.7469	0.3821	0.4765	0.646	1.4349	19.0811	5.8989	0.0591	15.7662	Qwen2ForCausalLM	bfloat16	apache-2.0	0.494	117	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2-1.5B	0.2159	0	0.0005	0.0515	0.0552	0.3876	0.062	0.717	0.2873	0.1365	0.5979	0.0796	0.0854	0.7869	7.1799	0.7999	0.928	10.8136	0.8304	0.0005	0.6701	0.3448	0.5	0.2395	0.1978	0	0.168	0.1686	0.2551	0.5979	0.2467	0.3176	0.2532	0.062	0	0.002	0.1105	0.1264	0	0	0	0	0.2574	0.6978	3.6941	0.6341	0.8499	6.0846	0.6036	0.6744	1.7489	23.2472	7.962	0.0796	19.6473	Qwen2ForCausalLM	bfloat16	apache-2.0	1.544	82	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2-1.5B	0.3898	0	0.3824	0.0846	0.4564	0.4979	0.488	0.7415	0.4372	0.2992	0.8212	0.0796	0.2042	0.8063	8.479	0.8239	0.9308	12.5316	0.8349	0.3824	0.7179	0.3362	0.5306	0.4727	0.4475	0.4163	0.6857	0.4242	0.2093	0.8212	0.5229	0.4666	0.3031	0.488	0	0.002	0.4965	0.2461	0	0.0764	0	0.0254	0.3211	0.7171	5.9459	0.6639	0.8651	7.6306	0.6435	0.6744	1.7489	23.2472	7.962	0.0796	19.6473	Qwen2ForCausalLM	bfloat16	apache-2.0	1.544	82	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2-7B	0.5209	0.0181	0.4777	0.1976	0.6274	0.764	0.748	0.8128	0.6818	0.3944	0.8987	0.1093	0.3506	0.8404	10.1222	0.8847	0.9488	15.6531	0.8752	0.4777	0.8274	0.4684	0.7236	0.8767	0.4632	0.5877	0.8061	0.7172	0.6937	0.8987	0.8436	0.8037	0.588	0.748	0.0181	0.0241	0.6671	0.3692	0.0235	0.2782	0.0531	0.0348	0.5981	0.7796	8.1771	0.7727	0.8887	9.305	0.7188	0.7026	2.4508	30.999	10.9279	0.1093	26.2173	Qwen2ForCausalLM	bfloat16	apache-2.0	7.616	142	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2-7B	0.3257	0.0181	0	0.0636	0.3982	0.6449	0.07	0.7919	0.6025	0.1357	0.7481	0.1093	0.1295	0.8245	9.1181	0.8698	0.9442	13.8904	0.868	0	0.7841	0.4397	0.5278	0.6667	0.0931	0.2191	0.5703	0.6862	0.7887	0.7481	0.8077	0.7238	0.4838	0.07	0.0181	0.0241	0.5773	0.1845	0	0.0009	0	0	0.3173	0.7413	5.4957	0.7422	0.8699	7.7003	0.6874	0.7026	2.4508	30.999	10.9279	0.1093	26.2173	Qwen2ForCausalLM	bfloat16	apache-2.0	7.616	142	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2-57B-A14B	0.6139	0.5241	0.5205	0.2306	0.6855	0.8517	0.858	0.8323	0.7124	0.5017	0.9142	0.1217	0.5089	0.8535	11.3668	0.8992	0.9535	16.8441	0.8825	0.5205	0.8783	0.5287	0.7417	0.9303	0.5161	0.6524	0.8632	0.7626	0.6657	0.9142	0.8805	0.8502	0.7466	0.858	0.5241	0.9237	0.7186	0.48	0.014	0.3419	0.0619	0.0427	0.6923	0.8097	10.0138	0.8137	0.897	9.9209	0.734	0.7097	2.7977	33.4329	12.1784	0.1217	28.1609	Qwen2MoeForCausalLM	bfloat16	apache-2.0	57.409	48	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen2-57B-A14B	0.4889	0.5241	0.0706	0.0897	0.5516	0.7261	0.688	0.8189	0.6265	0.3184	0.8428	0.1217	0.401	0.84	10.8247	0.8917	0.9519	15.7549	0.8787	0.0706	0.8279	0.5172	0.6056	0.7471	0.1775	0.5549	0.6639	0.7266	0.619	0.8428	0.8494	0.8154	0.6034	0.688	0.5241	0.9237	0.5482	0.3768	0	0	0	0	0.4486	0.7683	6.6972	0.7793	0.8906	9.154	0.7261	0.7097	2.7977	33.4329	12.1784	0.1217	28.1609	Qwen2MoeForCausalLM	bfloat16	apache-2.0	57.409	48	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2-0.5B-Instruct	0.2922	0	0.2671	0.0411	0.318	0.3646	0.158	0.6466	0.4373	0.253	0.6719	0.0572	0.1436	0.7508	5.6235	0.7076	0.9048	8.6022	0.7607	0.2671	0.4865	0.3592	0.5	0.3592	0.4299	0.2909	0.5534	0.6016	0.1721	0.6719	0.1028	0.0833	0.2481	0.158	0	0	0.3452	0.1853	0	0.0138	0	0.0044	0.1871	0.6329	3.5797	0.5359	0.8491	6.2043	0.582	0.6387	1.4526	16.7298	5.7426	0.0572	14.0599	Qwen2ForCausalLM	bfloat16	apache-2.0	0.494	164	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2-0.5B-Instruct	0.1651	0	0	0.0367	0.0023	0.3055	0.016	0.5734	0.3453	0.1141	0.3657	0.0572	0.0697	0.6849	1.8917	0.6081	0.8245	3.9205	0.6858	0	0.4677	0.2557	0.4889	0.2046	0.1869	0	0.1454	0.6168	0.2196	0.3657	-0.0544	-0.0494	0.2442	0.016	0	0	0.0046	0.0858	0	0	0	0	0.1837	0.6393	1.6557	0.496	0.7729	1.7655	0.5035	0.6387	1.4526	16.7298	5.7426	0.0572	14.0599	Qwen2ForCausalLM	bfloat16	apache-2.0	0.494	164	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2-1.5B-Instruct	0.4076	0	0.421	0.0889	0.4649	0.5432	0.514	0.7642	0.4777	0.3026	0.8429	0.0643	0.2005	0.8071	8.8463	0.825	0.9311	13.0961	0.8374	0.421	0.6686	0.3362	0.5167	0.6175	0.4575	0.4242	0.6598	0.4886	0.3871	0.8429	0.2818	0.2412	0.3436	0.514	0	0	0.5057	0.2497	0.0014	0.0934	0	0.0245	0.325	0.7413	5.8109	0.7171	0.8751	8.1549	0.6771	0.6605	1.7907	17.9004	6.444	0.0643	15.5797	Qwen2ForCausalLM	bfloat16	apache-2.0	1.544	132	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2-1.5B-Instruct	0.2454	0	0	0.0403	0.002	0.4553	0.098	0.7435	0.4054	0.1512	0.7396	0.0643	0.1053	0.7869	7.1679	0.8156	0.929	10.5792	0.8341	0	0.7583	0.4224	0.5625	0.3494	0.1957	0	0.4984	0.1698	0.3739	0.7396	0.6	0.6212	0.2583	0.098	0	0	0.0039	0.1525	0	0	0	0	0.2013	0.692	3.808	0.6701	0.8659	6.1582	0.6542	0.6605	1.7907	17.9004	6.444	0.0643	15.5797	Qwen2ForCausalLM	bfloat16	apache-2.0	1.544	132	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2-7B-Instruct	0.3738	0	0.0956	0.0934	0.3847	0.6992	0.388	0.8107	0.6438	0.1287	0.7874	0.0802	0.0869	0.83	9.8287	0.8843	0.9452	13.3766	0.8689	0.0956	0.8039	0.5172	0.6111	0.7793	0.1577	0.2488	0.7005	0.6698	0.7205	0.7874	0.3949	0.3625	0.5143	0.388	0	0	0.5206	0.1414	0	0.0009	0	0	0.4661	0.7496	5.0348	0.7734	0.8827	7.6153	0.716	0.681	2.3279	20.6489	8.0238	0.0802	18.2714	Qwen2ForCausalLM	bfloat16	apache-2.0	7.616	600	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2-7B-Instruct	0.5169	0	0.4696	0.2008	0.6092	0.8024	0.742	0.8247	0.6934	0.3676	0.8964	0.0802	0.3376	0.8362	10.2944	0.8901	0.9485	14.9416	0.8743	0.4696	0.8429	0.5259	0.7306	0.891	0.3902	0.5648	0.8131	0.6717	0.7258	0.8964	0.8585	0.8243	0.6733	0.742	0	0	0.6535	0.3751	0.0159	0.3047	0.0088	0.0375	0.6368	0.7802	7.2739	0.801	0.892	9.2122	0.7333	0.681	2.3279	20.6489	8.0238	0.0802	18.2714	Qwen2ForCausalLM	bfloat16	apache-2.0	7.616	600	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2-57B-A14B-Instruct	0.2776	0.01	0.1687	0.0991	0.0008	0.6917	0.118	0.7986	0.3987	0.2148	0.4609	0.0922	0.2165	0.8117	9.9367	0.8472	0.9505	15.6139	0.8761	0.1687	0.5015	0.5144	0.2931	0.8749	0.1803	0.0003	0.606	0.0524	0.5279	0.4609	0.8692	0.8354	0.6988	0.118	0.01	0.0141	0.0014	0.2475	0	0.0003	0	0	0.4953	0.7526	7.0226	0.7637	0.8834	8.8813	0.7073	0.6888	2.7934	23.8128	9.2291	0.0922	20.8889	Qwen2MoeForCausalLM	bfloat16	apache-2.0	57.409	77	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen2-57B-A14B-Instruct	0.5503	0.01	0.4993	0.2334	0.6246	0.8566	0.864	0.8292	0.6731	0.4597	0.9112	0.0922	0.4843	0.8471	11.915	0.8817	0.9527	16.7566	0.8802	0.4993	0.853	0.5661	0.7431	0.9446	0.4926	0.5244	0.7338	0.7229	0.5998	0.9112	0.8906	0.8581	0.7722	0.864	0.01	0.0141	0.7247	0.4023	0.0075	0.3219	0.0973	0.0435	0.6968	0.813	10.2411	0.8222	0.8952	9.9832	0.7328	0.6888	2.7934	23.8128	9.2291	0.0922	20.8889	Qwen2MoeForCausalLM	bfloat16	apache-2.0	57.409	77	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen1.5-0.5B-Chat	0.1882	0	0.1331	0.0412	0.2358	0.1121	0.052	0.5198	0.2573	0.1776	0.5409	0.0001	0.0879	0.6924	2.0155	0.5452	0.8582	6.4008	0.646	0.1331	0.1976	0.3276	0.4764	0.1385	0.3413	0.2064	0	0.1888	0.2937	0.5409	-0.0691	-0.0638	0	0.052	0	0	0.2652	0.1035	0	0.0097	0	0.0067	0.1895	0.6312	0.4018	0.4103	0.8041	4.1518	0.4777	0.001	0.0021	0.0465	0.0102	0.0001	0.0465	Qwen2ForCausalLM	bfloat16	other	0.62	75	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen1.5-0.5B-Chat	0.0547	0	0	0.0035	0.0315	0	0	0.3765	0	0.0668	0.1231	0.0001	0.0384	0.5709	0.3243	0.4203	0.3723	1.5193	0.3961	0	0	0	0	0	0.08	0.0059	0	0	0	0.1231	0.0225	0.0262	0	0	0	0	0.0571	0.0819	0	0	0	0	0.0175	0.4178	0.2666	0.345	0.2607	0.6532	0.3447	0.001	0.0021	0.0465	0.0102	0.0001	0.0465	Qwen2ForCausalLM	bfloat16	other	0.62	75	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen1.5-1.8B-Chat	0.1002	0	0	0.019	0	0.0192	0	0.5877	0.0405	0.0968	0.2801	0.0584	0.0447	0.6759	4.5707	0.6215	0.8582	7.6355	0.6663	0	0.0576	0.0517	0	0	0.2102	0	0.0859	0	0.0652	0.2801	0.0029	0.0043	0	0	0	0	0.0001	0.0355	0	0	0	0	0.095	0.6216	2.8529	0.5342	0.8035	4.2879	0.529	0.6509	1.56	16.1139	5.8593	0.0584	13.7961	Qwen2ForCausalLM	bfloat16	other	1.837	48	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen1.5-1.8B-Chat	0.2952	0	0.2478	0.0269	0.3644	0.3713	0.26	0.6489	0.3577	0.2086	0.7035	0.0584	0.134	0.7673	6.7582	0.7306	0.903	9.8768	0.7624	0.2478	0.4619	0.3391	0.5	0.3816	0.3193	0.3265	0.3685	0.4104	0.1707	0.7035	0.1143	0.063	0.2702	0.26	0	0	0.4024	0.1723	0	0.0313	0	0.0029	0.1001	0.6293	3.2816	0.5376	0.8285	6.1865	0.5649	0.6509	1.56	16.1139	5.8593	0.0584	13.7961	Qwen2ForCausalLM	bfloat16	other	1.837	48	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen1.5-7B-Chat	0.452	0	0.4605	0.1378	0.4991	0.686	0.584	0.7983	0.5887	0.3037	0.8698	0.0445	0.2248	0.8272	9.1338	0.8683	0.9322	12.1327	0.8485	0.4605	0.7776	0.4224	0.6667	0.8043	0.4178	0.4335	0.6623	0.5644	0.6276	0.8698	0.7934	0.743	0.4762	0.584	0	0	0.5647	0.2685	0.0071	0.2324	0.0088	0.0434	0.3972	0.7536	6.1516	0.7651	0.8782	7.9472	0.7113	0.6556	1.1577	15.3333	4.4536	0.0445	13.002	Qwen2ForCausalLM	bfloat16	other	7.721	164	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen1.5-7B-Chat	0.2843	0	0.0293	0.0433	0.3305	0.4524	0.33	0.7641	0.1841	0.1599	0.7894	0.0445	0.1079	0.7455	7.5823	0.8066	0.9299	11.8686	0.8396	0.0293	0.7162	0.1207	0.4708	0.2726	0.1985	0.3163	0.1348	0.0019	0.1924	0.7894	0.1584	0.1598	0.3684	0.33	0	0	0.3447	0.1732	0	0	0	0	0.2165	0.7197	4.5818	0.726	0.8688	7.2124	0.684	0.6556	1.1577	15.3333	4.4536	0.0445	13.002	Qwen2ForCausalLM	bfloat16	other	7.721	164	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen1.5-14B-Chat	0.4056	0	0.1907	0.0614	0.5275	0.7393	0.37	0.8068	0.5557	0.2627	0.8505	0.0967	0.206	0.825	9.9127	0.8698	0.9436	13.428	0.8687	0.1907	0.8099	0.4799	0.6375	0.8293	0.3008	0.4801	0.5559	0.3782	0.727	0.8505	0.7715	0.8036	0.5787	0.37	0	0.002	0.5748	0.2813	0	0	0.0088	0	0.298	0.7525	5.8479	0.7672	0.8818	8.244	0.7214	0.6983	2.1618	29.2494	9.6714	0.0967	24.6822	Qwen2ForCausalLM	bfloat16	other	14.167	111	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen1.5-14B-Chat	0.4974	0	0.4807	0.1831	0.5779	0.7963	0.698	0.8227	0.5921	0.3317	0.8925	0.0967	0.2976	0.845	10.0664	0.8865	0.9451	14.3919	0.8711	0.4807	0.8354	0.4167	0.7389	0.8731	0.3754	0.5256	0.6397	0.601	0.564	0.8925	0.8122	0.7942	0.6805	0.698	0	0.002	0.6302	0.322	0.0072	0.271	0.0708	0.016	0.5506	0.7814	7.0721	0.8005	0.886	8.4866	0.7326	0.6983	2.1618	29.2494	9.6714	0.0967	24.6822	Qwen2ForCausalLM	bfloat16	other	14.167	111	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen1.5-4B-Chat	0.3956	0	0.357	0.0631	0.4541	0.5809	0.506	0.7488	0.4775	0.259	0.8282	0.0768	0.1654	0.8046	8.1103	0.8109	0.9273	11.9636	0.8319	0.357	0.632	0.3966	0.5514	0.6783	0.401	0.4019	0.387	0.6604	0.3921	0.8282	0.6253	0.5879	0.4324	0.506	0	0	0.5063	0.2105	0	0.065	0.0442	0.0084	0.1978	0.7091	5.8707	0.6667	0.8744	7.9838	0.6858	0.618	1.4681	23.955	7.6708	0.0768	19.7316	Qwen2ForCausalLM	bfloat16	other	3.95	38	main	4	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen1.5-4B-Chat	0.1012	0	0	0.0144	0	0	0	0.5369	0	0.005	0.4796	0.0768	0.0021	0.2557	2.4854	0.4695	0.7929	9.5308	0.7447	0	0	0	0	0	0	0	0	0	0	0.4796	0	0	0	0	0	0	0	0.0128	0	0	0	0	0.0722	0.1513	1.6932	0.3996	0.5721	4.8336	0.5337	0.618	1.4681	23.955	7.6708	0.0768	19.7316	Qwen2ForCausalLM	bfloat16	other	3.95	38	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen1.5-32B-Chat	0.4491	0.002	0.3352	0.0994	0.5655	0.7991	0.464	0.8156	0.6205	0.2682	0.8672	0.1034	0.2627	0.8289	9.7996	0.8725	0.9479	15.4891	0.8749	0.3352	0.8479	0.4856	0.6167	0.8865	0.2206	0.5369	0.5505	0.702	0.7477	0.8672	0.8485	0.8333	0.6627	0.464	0.002	0.002	0.5941	0.3213	0.0067	0.0051	0	0.0027	0.4826	0.7703	6.928	0.7853	0.887	8.8918	0.7296	0.7034	2.7394	30.1233	10.3423	0.1034	25.5046	Qwen2ForCausalLM	bfloat16	other	32.512	108	main	0	False	v1.4.1	v0.6.3.post1
⭕ : instruction-tuned	Qwen/Qwen1.5-32B-Chat	0.5373	0.002	0.5151	0.2289	0.6696	0.8254	0.778	0.8343	0.6441	0.4013	0.908	0.1034	0.3572	0.8501	11.1126	0.8932	0.9492	16.067	0.8756	0.5151	0.8515	0.5086	0.7417	0.9124	0.4547	0.6159	0.7169	0.6679	0.5855	0.908	0.8499	0.8268	0.7125	0.778	0.002	0.002	0.7233	0.3922	0.0179	0.3671	0.0708	0.0613	0.6277	0.8053	9.0928	0.8211	0.8954	9.8035	0.7474	0.7034	2.7394	30.1233	10.3423	0.1034	25.5046	Qwen2ForCausalLM	bfloat16	other	32.512	108	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen1.5-32B	0.5655	0.1767	0.5109	0.228	0.6524	0.8314	0.802	0.8285	0.7195	0.4361	0.9089	0.1261	0.4019	0.8497	11.2727	0.8908	0.9522	16.6836	0.8798	0.5109	0.857	0.5747	0.7	0.9106	0.488	0.6027	0.8307	0.7734	0.7187	0.9089	0.8656	0.8391	0.7267	0.802	0.1767	0.3655	0.7021	0.4185	0.0457	0.3332	0.0708	0.0702	0.6201	0.8073	9.8641	0.8062	0.8985	10.4966	0.7371	0.7147	2.7423	35.6447	12.6092	0.1261	29.8654	Qwen2ForCausalLM	bfloat16	other	32.512	82	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen1.5-32B	0.3937	0.1767	0.1485	0.065	0.1771	0.6853	0.468	0.8034	0.5898	0.2395	0.8513	0.1261	0.2662	0.8291	10.0696	0.8712	0.949	15.1445	0.8749	0.1485	0.8226	0.4454	0.5639	0.7775	0.1258	0.0412	0.5468	0.6534	0.7394	0.8513	0.8487	0.827	0.4558	0.468	0.1767	0.3655	0.3131	0.3266	0	0.0004	0.0177	0	0.307	0.7586	6.3927	0.7604	0.8813	8.7998	0.7073	0.7147	2.7423	35.6447	12.6092	0.1261	29.8654	Qwen2ForCausalLM	bfloat16	other	32.512	82	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen1.5-4B	0.3919	0.002	0.3934	0.0663	0.4464	0.5462	0.502	0.7433	0.4835	0.2684	0.8345	0.0249	0.1819	0.8088	8.6103	0.8119	0.9295	12.4554	0.8352	0.3934	0.6671	0.4397	0.5681	0.5853	0.3962	0.3846	0.3895	0.6843	0.3361	0.8345	0.6416	0.5944	0.3862	0.502	0.002	0.002	0.5082	0.227	0.0087	0.1051	0.0177	0.0308	0.1693	0.7281	6.7202	0.6631	0.8721	8.2854	0.663	0.6105	0.6209	7.2195	2.4899	0.0249	6.3981	Qwen2ForCausalLM	bfloat16	other	3.95	33	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen1.5-4B	0.21	0.002	0	0.047	0.0784	0.2695	0.002	0.6713	0.5074	0.0724	0.6355	0.0249	0.0485	0.7439	5.5636	0.6997	0.9199	10.8054	0.8191	0	0.5358	0.3391	0.3931	0.0179	0.0685	0.0028	0.5534	0.6313	0.6201	0.6355	-0.0795	-0.0382	0.2548	0.002	0.002	0.002	0.1539	0.1001	0	0	0	0	0.2349	0.6822	3.2091	0.5786	0.8373	5.7173	0.5879	0.6105	0.6209	7.2195	2.4899	0.0249	6.3981	Qwen2ForCausalLM	bfloat16	other	3.95	33	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen1.5-7B	0.2621	0.1044	0.0294	0.0502	0.1352	0.4077	0.008	0.764	0.4396	0.1447	0.7127	0.0875	0.1064	0.8077	7.8239	0.849	0.937	11.9559	0.849	0.0294	0.7482	0.3937	0.5028	0.2198	0.1826	0.0071	0.2872	0.5644	0.4502	0.7127	0.1934	0.1797	0.255	0.008	0.1044	0.3092	0.2634	0.1453	0	0	0	0	0.251	0.7209	4.5154	0.7113	0.8639	6.1827	0.6467	0.6857	1.7991	26.6454	8.7404	0.0875	22.3706	Qwen2ForCausalLM	bfloat16	other	7.721	46	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen1.5-7B	0.4733	0.1044	0.4359	0.1623	0.511	0.665	0.596	0.7868	0.6364	0.335	0.8859	0.0875	0.2516	0.8337	9.9868	0.8661	0.9418	14.1796	0.8623	0.4359	0.7397	0.4511	0.6667	0.7909	0.4692	0.4459	0.5727	0.7096	0.7818	0.8859	0.7191	0.6025	0.4645	0.596	0.1044	0.3092	0.5761	0.2842	0.0063	0.3007	0.0265	0.0476	0.4302	0.7593	7.5492	0.7303	0.8809	9.2991	0.6885	0.6857	1.7991	26.6454	8.7404	0.0875	22.3706	Qwen2ForCausalLM	bfloat16	other	7.721	46	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen1.5-14B	0.379	0.4016	0.1098	0.0529	0.2327	0.6802	0.214	0.7907	0.5347	0.243	0.8109	0.098	0.2195	0.8258	9.662	0.8675	0.9462	14.4563	0.8707	0.1098	0.773	0.4023	0.5528	0.7784	0.2503	0.0274	0.2983	0.7266	0.6937	0.8109	0.6676	0.6242	0.4892	0.214	0.4016	0.9076	0.438	0.2591	0	0	0	0	0.2645	0.7352	5.6415	0.7253	0.8795	8.4139	0.6992	0.6929	2.136	28.3663	9.7907	0.098	23.9066	Qwen2ForCausalLM	bfloat16	other	14.167	36	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen1.5-14B	0.5449	0.4016	0.4557	0.1829	0.5875	0.7821	0.698	0.8129	0.701	0.3734	0.9009	0.098	0.3359	0.8468	10.9283	0.8853	0.9477	16.019	0.8717	0.4557	0.8394	0.4971	0.7042	0.8525	0.4275	0.5377	0.8205	0.738	0.7453	0.9009	0.8394	0.8073	0.6544	0.698	0.4016	0.9076	0.6374	0.3568	0.0095	0.2354	0.0885	0.0573	0.5236	0.7832	8.4909	0.7736	0.8924	9.6196	0.721	0.6929	2.136	28.3663	9.7907	0.098	23.9066	Qwen2ForCausalLM	bfloat16	other	14.167	36	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen1.5-0.5B	0.1021	0.0141	0	0.021	0.0137	0.1278	0	0.4391	0.0842	0.0952	0.2815	0.0464	0.047	0.6541	2.1699	0.5144	0.7454	0.112	0.4857	0	0	0.1897	0.025	0.1385	0.1576	0	0.0542	0.0013	0.151	0.2815	-0.0088	-0.0065	0.245	0	0.0141	0.1426	0.0274	0.0809	0	0	0	0	0.1052	0.57	1.2143	0.3943	0.7279	0.2155	0.362	0.6259	1.0483	17.5217	4.6302	0.0464	14.0292	Qwen2ForCausalLM	bfloat16	other	0.62	145	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen1.5-0.5B	0.2266	0.0141	0.187	0.0245	0.2762	0.3182	0.018	0.5568	0.4567	0.1842	0.411	0.0464	0.0914	0.7163	5.2729	0.5874	0.8863	8.1905	0.696	0.187	0.481	0.408	0.5389	0.2234	0.3342	0.2508	0.5534	0.6212	0.1618	0.411	0	0	0.2501	0.018	0.0141	0.1426	0.3017	0.127	0.0053	0.0111	0	0.0068	0.0994	0.6215	3.4396	0.4542	0.816	5.1922	0.4896	0.6259	1.0483	17.5217	4.6302	0.0464	14.0292	Qwen2ForCausalLM	bfloat16	other	0.62	145	main	4	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen1.5-1.8B	0.1242	0.0141	0	0.0299	0.0523	0.1541	0	0.5657	0.0883	0.083	0.3281	0.0511	0.0536	0.7288	4.0971	0.6519	0.8198	4.4674	0.6508	0	0.2119	0	0.0778	0.0107	0.1292	0.0003	0	0.3636	0	0.3281	-0.0385	-0.0291	0.2396	0	0.0141	0.1285	0.1043	0.0663	0	0	0	0	0.1497	0.6533	1.8221	0.4888	0.7721	2.4003	0.4713	0.6366	1.4833	17.1396	5.1175	0.0511	14.6158	Qwen2ForCausalLM	bfloat16	other	1.837	43	main	0	False	v1.4.1	v0.6.3.post1
🟢 : pretrained	Qwen/Qwen1.5-1.8B	0.2955	0.0141	0.2569	0.0346	0.3669	0.3921	0.152	0.6501	0.4614	0.1737	0.6979	0.0511	0.1283	0.7806	7.2504	0.7447	0.9124	10.9372	0.7826	0.2569	0.516	0.3448	0.5	0.3932	0.2378	0.3437	0.5189	0.6383	0.3051	0.6979	0.0886	0.0845	0.2669	0.152	0.0141	0.1285	0.3902	0.1551	0	0.0257	0.0088	0	0.1386	0.6382	4.304	0.5034	0.8447	6.5702	0.5697	0.6366	1.4833	17.1396	5.1175	0.0511	14.6158	Qwen2ForCausalLM	bfloat16	other	1.837	43	main	4	False	v1.4.1	v0.6.3.post1