Gradio


🔶	eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v4-test 📑	81.22	79.78	91.15	77.95	75.18	87.85	76.12	eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v4-test


🔶	davidkim205/Rhea-72b-v0.5 📑	81.22	79.78	91.15	77.95	74.5	87.85	76.12	davidkim205/Rhea-72b-v0.5
💬	MTSAIR/MultiVerse_70B 📑	81	78.67	89.77	78.22	75.18	87.53	76.65	MTSAIR/MultiVerse_70B
🔶	MTSAIR/MultiVerse_70B 📑	80.98	78.58	89.74	78.27	75.09	87.37	76.8	MTSAIR/MultiVerse_70B
🔶	SF-Foundation/Ein-72B-v0.11 📑	80.81	76.79	89.02	77.2	79.02	84.06	78.77	SF-Foundation/Ein-72B-v0.11
🔶	SF-Foundation/Ein-72B-v0.13 📑	80.79	76.19	89.44	77.07	77.82	84.93	79.3	SF-Foundation/Ein-72B-v0.13
🔶	SF-Foundation/Ein-72B-v0.12 📑	80.72	76.19	89.46	77.17	77.78	84.45	79.23	SF-Foundation/Ein-72B-v0.12
🔶	abacusai/Smaug-72B-v0.1 📑	80.48	76.02	89.27	77.15	76.67	85.08	78.7	abacusai/Smaug-72B-v0.1
🔶	ibivibiv/alpaca-dragon-72b-v1 📑	79.3	73.89	88.16	77.4	72.69	86.03	77.63	ibivibiv/alpaca-dragon-72b-v1
💬	moreh/MoMo-72B-lora-1.8.7-DPO 📑	78.55	70.82	85.96	77.13	74.71	84.06	78.62	moreh/MoMo-72B-lora-1.8.7-DPO
🔶	cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16 📑	77.91	74.06	86.74	76.65	72.24	83.35	74.45	cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16
🔶	saltlux/luxia-21.4b-alignment-v1.0 📑	77.74	77.47	91.88	68.1	79.17	87.45	62.4	saltlux/luxia-21.4b-alignment-v1.0
🔶	cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_full_linear_DPO 📑	77.52	74.06	86.67	76.69	71.32	83.43	72.93	cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_full_linear_DPO
🔶	zhengr/MixTAO-7Bx2-MoE-v8.1 📑	77.5	73.81	89.22	64.92	78.57	87.37	71.11	zhengr/MixTAO-7Bx2-MoE-v8.1
💬	yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B 📑	77.44	74.91	89.3	64.67	78.02	88.24	69.52	yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
🔶	JaeyeonKang/CCK_Asura_v1 📑	77.43	73.89	89.07	75.44	71.75	86.35	68.08	JaeyeonKang/CCK_Asura_v1
🔶	fblgit/UNA-SimpleSmaug-34b-v1beta 📑	77.41	74.57	86.74	76.68	70.17	83.82	72.48	fblgit/UNA-SimpleSmaug-34b-v1beta
🔶	TomGrc/FusionNet_34Bx2_MoE_v0.1 📑	77.38	73.72	86.46	76.72	71.01	83.35	73.01	TomGrc/FusionNet_34Bx2_MoE_v0.1
🔶	migtissera/Tess-72B-v1.5b 📑	77.3	71.25	85.53	76.63	71.99	81.45	76.95	migtissera/Tess-72B-v1.5b
💬	moreh/MoMo-72B-lora-1.8.6-DPO 📑	77.29	70.14	86.03	77.4	69	84.37	76.8	moreh/MoMo-72B-lora-1.8.6-DPO
🔶	abacusai/Smaug-34B-v0.1 📑	77.29	74.23	86.76	76.66	70.22	83.66	72.18	abacusai/Smaug-34B-v0.1
🔶	cloudyu/Truthful_DPO_TomGrc_FusionNet_34Bx2_MoE 📑	77.28	72.87	86.52	76.96	73.28	83.19	70.89	cloudyu/Truthful_DPO_TomGrc_FusionNet_34Bx2_MoE
🔶	ibivibiv/orthorus-125b-v2 📑	77.22	73.63	89.04	75.99	70.19	85.48	68.99	ibivibiv/orthorus-125b-v2
🔶	ConvexAI/Luminex-34B-v0.2 📑	77.19	74.49	86.76	76.55	70.21	83.27	71.87	ConvexAI/Luminex-34B-v0.2
🔶	yunconglong/DARE_TIES_13B 📑	77.1	74.32	89.5	64.47	78.66	88.08	67.55	yunconglong/DARE_TIES_13B
🔶	yunconglong/13B_MATH_DPO 📑	77.08	74.66	89.51	64.53	78.63	88.08	67.1	yunconglong/13B_MATH_DPO
🔶	TomGrc/FusionNet_34Bx2_MoE 📑	77.07	72.95	86.22	77.05	71.31	83.98	70.89	TomGrc/FusionNet_34Bx2_MoE
🔶	ConvexAI/Luminex-34B-v0.1 📑	77.06	73.63	86.59	76.55	69.68	83.43	72.48	ConvexAI/Luminex-34B-v0.1
🔶	yunconglong/MoE_13B_DPO 📑	77.05	74.32	89.39	64.48	78.47	88	67.63	yunconglong/MoE_13B_DPO
🔶	JaeyeonKang/CCK_Asura_v3.0 📑	77.03	72.95	88.86	75.41	69.1	85.08	70.81	JaeyeonKang/CCK_Asura_v3.0
🔶	cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO 📑	76.95	73.21	86.11	75.44	72.78	82.95	71.19	cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO
🔶	yam-peleg/Experiment26-7B 📑	76.74	73.38	89.15	64.32	78.24	84.93	70.43	yam-peleg/Experiment26-7B
🔶	MTSAIR/multi_verse_model 📑	76.74	72.87	89.2	64.4	77.92	84.77	71.27	MTSAIR/multi_verse_model
🔶	chihoonlee10/T3Q-Mistral-Orca-Math-DPO 📑	76.7	72.95	89.23	64.42	78.41	84.93	70.28	chihoonlee10/T3Q-Mistral-Orca-Math-DPO
🔶	yam-peleg/Experiment26-7B 📑	76.67	73.12	89.12	64.3	78.04	85	70.43	yam-peleg/Experiment26-7B
🔶	rwitz/experiment26-truthy-iter-0 📑	76.65	73.29	89.11	64.35	77.86	84.93	70.36	rwitz/experiment26-truthy-iter-0
🔶	yam-peleg/Experiment30-7B 📑	76.62	73.38	89.13	64.28	77.98	84.93	70.05	yam-peleg/Experiment30-7B
🔶	yam-peleg/Experiment28-7B 📑	76.62	73.04	89.04	64.44	78.49	85.4	69.29	yam-peleg/Experiment28-7B
🔶	MaziyarPanahi/Calme-7B-Instruct-v0.2 📑	76.61	73.12	89.19	64.36	78	84.93	70.05	MaziyarPanahi/Calme-7B-Instruct-v0.2
🔶	rwitz/experiment26-truthy-iter-1 📑	76.6	73.21	89.13	64.34	77.66	84.85	70.43	rwitz/experiment26-truthy-iter-1
🔶	rwitz/experiment26-truthy-iter-2 📑	76.6	73.38	89.11	64.36	77.3	85	70.43	rwitz/experiment26-truthy-iter-2
🔶	chlee10/T3Q-Merge-Mistral7B 📑	76.59	72.95	89.15	64.44	77.96	85	70.05	chlee10/T3Q-Merge-Mistral7B
🔶	LeroyDyer/Mixtral_AI_Cyber_3.m1 📑	76.59	74.06	88.96	64.45	77.67	85	69.37	LeroyDyer/Mixtral_AI_Cyber_3.m1
🔶	yam-peleg/Experiment31-7B 📑	76.58	73.55	89.19	64.36	78.31	85	69.07	yam-peleg/Experiment31-7B
🔶	yam-peleg/Experiment31-7B 📑	76.57	73.55	89.14	64.29	78.43	85.16	68.84	yam-peleg/Experiment31-7B
🔶	yam-peleg/Experiment24-7B 📑	76.56	73.81	89.06	64.34	78.54	85.16	68.46	yam-peleg/Experiment24-7B
💬	zhengr/MixTAO-7Bx2-MoE-Instruct-v7.0 📑	76.55	74.23	89.37	64.54	74.26	87.77	69.14	zhengr/MixTAO-7Bx2-MoE-Instruct-v7.0
🤝	bobofrut/ladybird-base-7B-v8 📑	76.55	73.21	89.19	64.39	76.82	85.32	70.36	bobofrut/ladybird-base-7B-v8
🔶	yam-peleg/Experiment29-7B 📑	76.53	73.12	89.06	64.49	78.72	85	68.76	yam-peleg/Experiment29-7B
🔶	yam-peleg/Experiment30-7B 📑	76.53	73.46	89.09	64.4	77.76	84.85	69.6	yam-peleg/Experiment30-7B
🔶	CorticalStack/pastiche-crown-clown-7b-dare-dpo 📑	76.5	72.78	89.15	64.51	78.8	84.85	68.92	CorticalStack/pastiche-crown-clown-7b-dare-dpo
🔶	MaziyarPanahi/Calme-7B-Instruct-v0.1.1 📑	76.49	72.95	89.26	64.32	78.1	85.16	69.14	MaziyarPanahi/Calme-7B-Instruct-v0.1.1
💬	mlabonne/UltraMerge-7B 📑	76.49	73.04	89.25	64.4	78.17	84.85	69.22	mlabonne/UltraMerge-7B
🔶	cloudyu/Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B 📑	76.48	71.25	85.24	77.28	66.74	84.29	74.07	cloudyu/Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B


🔶	eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v4-test 📑	81.22	79.78	91.15	77.95	75.18	87.85	76.12	fine-tuned on domain-specific datasets	MixtralForCausalLM	bfloat16	false	cc-by-nc-nd-4.0	125.35	3536	fda5cf998a0f2d89b53b5fa490793e3e50bb8239	eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v4-test


🔶	davidkim205/Rhea-72b-v0.5 📑	81.22	79.78	91.15	77.95	74.5	87.85	76.12	fine-tuned on domain-specific datasets	LlamaForCausalLM	float16	false	apache-2.0	72.29	29	fda5cf998a0f2d89b53b5fa490793e3e50bb8239	davidkim205/Rhea-72b-v0.5
💬	MTSAIR/MultiVerse_70B 📑	81	78.67	89.77	78.22	75.18	87.53	76.65	chat models (RLHF, DPO, IFT, ...)	LlamaForCausalLM	bfloat16	false	other	72.29	2	ea2b4ff8e5acd7a48993f56b2d7b99e049eb6939	MTSAIR/MultiVerse_70B
🔶	MTSAIR/MultiVerse_70B 📑	80.98	78.58	89.74	78.27	75.09	87.37	76.8	fine-tuned on domain-specific datasets	LlamaForCausalLM	float16	false	other	72.29	2	ea2b4ff8e5acd7a48993f56b2d7b99e049eb6939	MTSAIR/MultiVerse_70B
🔶	SF-Foundation/Ein-72B-v0.11 📑	80.81	76.79	89.02	77.2	79.02	84.06	78.77	fine-tuned on domain-specific datasets	?	bfloat16	false	apache-2.0	72	10	40d451f32b1a6c9ad694b32ba8ed4822c27f3022	SF-Foundation/Ein-72B-v0.11
🔶	SF-Foundation/Ein-72B-v0.13 📑	80.79	76.19	89.44	77.07	77.82	84.93	79.3	fine-tuned on domain-specific datasets	?	bfloat16	false	apache-2.0	72	4	1f302e0e15f3d3711778cd61686eb9b28b0c72ae	SF-Foundation/Ein-72B-v0.13
🔶	SF-Foundation/Ein-72B-v0.12 📑	80.72	76.19	89.46	77.17	77.78	84.45	79.23	fine-tuned on domain-specific datasets	?	bfloat16	false	apache-2.0	72	3	84d38e29fec0dc9c274237968fdafe9396702f9b	SF-Foundation/Ein-72B-v0.12
🔶	abacusai/Smaug-72B-v0.1 📑	80.48	76.02	89.27	77.15	76.67	85.08	78.7	fine-tuned on domain-specific datasets	LlamaForCausalLM	bfloat16	false	other	72.29	430	54a8c35600ec5cb30ca2129247854ece23e57f57	abacusai/Smaug-72B-v0.1
🔶	ibivibiv/alpaca-dragon-72b-v1 📑	79.3	73.89	88.16	77.4	72.69	86.03	77.63	fine-tuned on domain-specific datasets	LlamaForCausalLM	float16	false	other	72.29	19	4df251a558c53b6b6a4c459045b161951cfc3c4e	ibivibiv/alpaca-dragon-72b-v1
💬	moreh/MoMo-72B-lora-1.8.7-DPO 📑	78.55	70.82	85.96	77.13	74.71	84.06	78.62	chat models (RLHF, DPO, IFT, ...)	LlamaForCausalLM	bfloat16	false	mit	72.29	67	c64edea08b27be1e7e2ae6a95bcdd74849cb887e	moreh/MoMo-72B-lora-1.8.7-DPO
🔶	cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16 📑	77.91	74.06	86.74	76.65	72.24	83.35	74.45	fine-tuned on domain-specific datasets	MixtralForCausalLM	bfloat16	false	other	60.81	9	cd29cfa124072c96ba8601230bead65d76e04dcb	cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16
🔶	saltlux/luxia-21.4b-alignment-v1.0 📑	77.74	77.47	91.88	68.1	79.17	87.45	62.4	fine-tuned on domain-specific datasets	LlamaForCausalLM	bfloat16	false	apache-2.0	21.42	19	ba3403eaafc6d1f6e3a73245314ee96025c08d96	saltlux/luxia-21.4b-alignment-v1.0
🔶	cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_full_linear_DPO 📑	77.52	74.06	86.67	76.69	71.32	83.43	72.93	fine-tuned on domain-specific datasets	MixtralForCausalLM	float16	false	other	60.81	2	e8e558b5fd4ac9da839577b1295d10ca75fc2663	cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_full_linear_DPO
🔶	zhengr/MixTAO-7Bx2-MoE-v8.1 📑	77.5	73.81	89.22	64.92	78.57	87.37	71.11	fine-tuned on domain-specific datasets	MixtralForCausalLM	bfloat16	false	apache-2.0	12.88	27	2d8cff968dbfb31e0c1ccc42053ccc4d2698a390	zhengr/MixTAO-7Bx2-MoE-v8.1
💬	yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B 📑	77.44	74.91	89.3	64.67	78.02	88.24	69.52	chat models (RLHF, DPO, IFT, ...)	MixtralForCausalLM	bfloat16	false	mit	12.88	46	915651208ea9f40c65a60d1f971a09f9461ee691	yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
🔶	JaeyeonKang/CCK_Asura_v1 📑	77.43	73.89	89.07	75.44	71.75	86.35	68.08	fine-tuned on domain-specific datasets	LlamaForCausalLM	float16	false	cc-by-nc-4.0	68.98	2	7dd3ddea090bd63f3143e70d7d6237cc40c046e4	JaeyeonKang/CCK_Asura_v1
🔶	fblgit/UNA-SimpleSmaug-34b-v1beta 📑	77.41	74.57	86.74	76.68	70.17	83.82	72.48	fine-tuned on domain-specific datasets	LlamaForCausalLM	bfloat16	false	apache-2.0	34.39	14	e1cdc5b02c662c5f29a50d0b22c64a8902ca856b	fblgit/UNA-SimpleSmaug-34b-v1beta
🔶	TomGrc/FusionNet_34Bx2_MoE_v0.1 📑	77.38	73.72	86.46	76.72	71.01	83.35	73.01	fine-tuned on domain-specific datasets	MixtralForCausalLM	bfloat16	false	mit	60.81	7	6c7ec6d2ca1c0d126a26963fedc9bbdf5210b0d1	TomGrc/FusionNet_34Bx2_MoE_v0.1
🔶	migtissera/Tess-72B-v1.5b 📑	77.3	71.25	85.53	76.63	71.99	81.45	76.95	fine-tuned on domain-specific datasets	LlamaForCausalLM	float16	false	other	72.29	12	dc092ecc5d5a424678eac445a9f4443069776691	migtissera/Tess-72B-v1.5b
💬	moreh/MoMo-72B-lora-1.8.6-DPO 📑	77.29	70.14	86.03	77.4	69	84.37	76.8	chat models (RLHF, DPO, IFT, ...)	LlamaForCausalLM	bfloat16	false	mit	72.29	32	76389d5d825c3743cc70bc75b902bbfdad11beba	moreh/MoMo-72B-lora-1.8.6-DPO
🔶	abacusai/Smaug-34B-v0.1 📑	77.29	74.23	86.76	76.66	70.22	83.66	72.18	fine-tuned on domain-specific datasets	LlamaForCausalLM	bfloat16	false	other	34.39	50	7b74a95019f01b59630cbd6469814c752d0e59e5	abacusai/Smaug-34B-v0.1
🔶	cloudyu/Truthful_DPO_TomGrc_FusionNet_34Bx2_MoE 📑	77.28	72.87	86.52	76.96	73.28	83.19	70.89	fine-tuned on domain-specific datasets	MixtralForCausalLM	bfloat16	false	mit	60.81	4	097b951c2524e6113252fcd98ba5830c85dc450f	cloudyu/Truthful_DPO_TomGrc_FusionNet_34Bx2_MoE
🔶	ibivibiv/orthorus-125b-v2 📑	77.22	73.63	89.04	75.99	70.19	85.48	68.99	fine-tuned on domain-specific datasets	MixtralForCausalLM	float16	false	apache-2.0	125.35	3	95b3b4e432d98b804d64cfe42dd9fa6b67198e5b	ibivibiv/orthorus-125b-v2
🔶	ConvexAI/Luminex-34B-v0.2 📑	77.19	74.49	86.76	76.55	70.21	83.27	71.87	fine-tuned on domain-specific datasets	LlamaForCausalLM	float16	false	other	34.39	11	3880710724abcaffbdf8fa4031e1d02066fbfe9d	ConvexAI/Luminex-34B-v0.2
🔶	yunconglong/DARE_TIES_13B 📑	77.1	74.32	89.5	64.47	78.66	88.08	67.55	fine-tuned on domain-specific datasets	MixtralForCausalLM	bfloat16	false	other	12.88	9	74c6e4fbd272c9d897e8c93ee7de8a234f61900f	yunconglong/DARE_TIES_13B
🔶	yunconglong/13B_MATH_DPO 📑	77.08	74.66	89.51	64.53	78.63	88.08	67.1	fine-tuned on domain-specific datasets	MixtralForCausalLM	bfloat16	false	other	12.88	0	96c62ad90f2b82016a1cdbfe96cfa5c4bb278e21	yunconglong/13B_MATH_DPO
🔶	TomGrc/FusionNet_34Bx2_MoE 📑	77.07	72.95	86.22	77.05	71.31	83.98	70.89	fine-tuned on domain-specific datasets	MixtralForCausalLM	bfloat16	false	mit	60.81	8	c5575550053c84a401baf56174cb2e5d5bd9e79a	TomGrc/FusionNet_34Bx2_MoE
🔶	ConvexAI/Luminex-34B-v0.1 📑	77.06	73.63	86.59	76.55	69.68	83.43	72.48	fine-tuned on domain-specific datasets	LlamaForCausalLM	float16	false	other	34.39	7	d3efc551679d7ec00da14722d44151c948a48d25	ConvexAI/Luminex-34B-v0.1
🔶	yunconglong/MoE_13B_DPO 📑	77.05	74.32	89.39	64.48	78.47	88	67.63	fine-tuned on domain-specific datasets	MixtralForCausalLM	bfloat16	false	other	12.88	4	d8d6a47f877fee3e638a158c2bd637c0013ed4e4	yunconglong/MoE_13B_DPO
🔶	JaeyeonKang/CCK_Asura_v3.0 📑	77.03	72.95	88.86	75.41	69.1	85.08	70.81	fine-tuned on domain-specific datasets	LlamaForCausalLM	float16	false	cc-by-nc-4.0	68.98	0	06fd0e293aeb3b2722e3910daefcd185fad4558c	JaeyeonKang/CCK_Asura_v3.0
🔶	cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO 📑	76.95	73.21	86.11	75.44	72.78	82.95	71.19	fine-tuned on domain-specific datasets	MixtralForCausalLM	4bit	false	other	31.8	1	331bb6bdba4140bbf0031bd37076f2c8a76d7dbb	cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO
🔶	yam-peleg/Experiment26-7B 📑	76.74	73.38	89.15	64.32	78.24	84.93	70.43	fine-tuned on domain-specific datasets	MistralForCausalLM	float16	false	apache-2.0	7.24	71	bbaef291e93a7f6c9f8cb76a4dbd8c3c054d3f3c	yam-peleg/Experiment26-7B
🔶	MTSAIR/multi_verse_model 📑	76.74	72.87	89.2	64.4	77.92	84.77	71.27	fine-tuned on domain-specific datasets	MistralForCausalLM	bfloat16	false	apache-2.0	7.24	19	a4ca706d1bbc263b95e223a80ad68b0f125840b3	MTSAIR/multi_verse_model
🔶	chihoonlee10/T3Q-Mistral-Orca-Math-DPO 📑	76.7	72.95	89.23	64.42	78.41	84.93	70.28	fine-tuned on domain-specific datasets	MistralForCausalLM	float16	false	apache-2.0	7.24	2	f136ec75c9fb7c86c071291ddf418089c8f43da0	chihoonlee10/T3Q-Mistral-Orca-Math-DPO
🔶	yam-peleg/Experiment26-7B 📑	76.67	73.12	89.12	64.3	78.04	85	70.43	fine-tuned on domain-specific datasets	MistralForCausalLM	bfloat16	false	apache-2.0	7.24	71	bbaef291e93a7f6c9f8cb76a4dbd8c3c054d3f3c	yam-peleg/Experiment26-7B
🔶	rwitz/experiment26-truthy-iter-0 📑	76.65	73.29	89.11	64.35	77.86	84.93	70.36	fine-tuned on domain-specific datasets	MistralForCausalLM	bfloat16	false	mit	7.24	0	cd8bfad664fb7f9b017388d974dd3265f8c40396	rwitz/experiment26-truthy-iter-0
🔶	yam-peleg/Experiment30-7B 📑	76.62	73.38	89.13	64.28	77.98	84.93	70.05	fine-tuned on domain-specific datasets	MistralForCausalLM	float16	false	apache-2.0	7.24	0	ff261dadc107d0ce67b836a052d7131f9d9e4260	yam-peleg/Experiment30-7B
🔶	yam-peleg/Experiment28-7B 📑	76.62	73.04	89.04	64.44	78.49	85.4	69.29	fine-tuned on domain-specific datasets	MistralForCausalLM	float16	false	apache-2.0	7.24	0	5efde29924cf7158e4cbd642311a92a14e85597c	yam-peleg/Experiment28-7B
🔶	MaziyarPanahi/Calme-7B-Instruct-v0.2 📑	76.61	73.12	89.19	64.36	78	84.93	70.05	fine-tuned on domain-specific datasets	MistralForCausalLM	float16	false	apache-2.0	7.24	7	a283f4e8169009d683b329ae1a96c9a77ce5936a	MaziyarPanahi/Calme-7B-Instruct-v0.2
🔶	rwitz/experiment26-truthy-iter-1 📑	76.6	73.21	89.13	64.34	77.66	84.85	70.43	fine-tuned on domain-specific datasets	MistralForCausalLM	bfloat16	false	mit	7.24	0	cb04e33c4ff559b31767765100cd50c24ec2531c	rwitz/experiment26-truthy-iter-1
🔶	rwitz/experiment26-truthy-iter-2 📑	76.6	73.38	89.11	64.36	77.3	85	70.43	fine-tuned on domain-specific datasets	MistralForCausalLM	bfloat16	false	mit	7.24	0	1dc4edde961960f7263dc3bdd37ca9e9f7e451ea	rwitz/experiment26-truthy-iter-2
🔶	chlee10/T3Q-Merge-Mistral7B 📑	76.59	72.95	89.15	64.44	77.96	85	70.05	fine-tuned on domain-specific datasets	MistralForCausalLM	float16	false	apache-2.0	7.24	2	03405145ca06170f1b2e0acc838f573f0e090df8	chlee10/T3Q-Merge-Mistral7B
🔶	LeroyDyer/Mixtral_AI_Cyber_3.m1 📑	76.59	74.06	88.96	64.45	77.67	85	69.37	fine-tuned on domain-specific datasets	MistralForCausalLM	float16	false	openrail	7.24	1	0da1865ae1ce682d4002dd9935d20520e79ed520	LeroyDyer/Mixtral_AI_Cyber_3.m1
🔶	yam-peleg/Experiment31-7B 📑	76.58	73.55	89.19	64.36	78.31	85	69.07	fine-tuned on domain-specific datasets	MistralForCausalLM	bfloat16	false	apache-2.0	7.24	1	a27e0dfaf79af8da32fc4ff6c5eb8be46c9f5a13	yam-peleg/Experiment31-7B
🔶	yam-peleg/Experiment31-7B 📑	76.57	73.55	89.14	64.29	78.43	85.16	68.84	fine-tuned on domain-specific datasets	MistralForCausalLM	float16	false	apache-2.0	7.24	1	a27e0dfaf79af8da32fc4ff6c5eb8be46c9f5a13	yam-peleg/Experiment31-7B
🔶	yam-peleg/Experiment24-7B 📑	76.56	73.81	89.06	64.34	78.54	85.16	68.46	fine-tuned on domain-specific datasets	MistralForCausalLM	float16	false	apache-2.0	7.24	0	b7f5aa8d4c899c175a1dad40a03b4071df90bd8e	yam-peleg/Experiment24-7B
💬	zhengr/MixTAO-7Bx2-MoE-Instruct-v7.0 📑	76.55	74.23	89.37	64.54	74.26	87.77	69.14	chat models (RLHF, DPO, IFT, ...)	MixtralForCausalLM	bfloat16	false	apache-2.0	12.88	16	69b9280ee4d2a20ef5645798621e62dd9777c139	zhengr/MixTAO-7Bx2-MoE-Instruct-v7.0
🤝	bobofrut/ladybird-base-7B-v8 📑	76.55	73.21	89.19	64.39	76.82	85.32	70.36	base merges and moerges	MistralForCausalLM	bfloat16	false	apache-2.0	7.24	2	4774173a54be9a648e1cf03248af3ae3d51a0434	bobofrut/ladybird-base-7B-v8
🔶	yam-peleg/Experiment29-7B 📑	76.53	73.12	89.06	64.49	78.72	85	68.76	fine-tuned on domain-specific datasets	MistralForCausalLM	float16	false	apache-2.0	7.24	1	11a51df04f85047e166d63eb64cedc1ec02732a1	yam-peleg/Experiment29-7B
🔶	yam-peleg/Experiment30-7B 📑	76.53	73.46	89.09	64.4	77.76	84.85	69.6	fine-tuned on domain-specific datasets	MistralForCausalLM	bfloat16	false	apache-2.0	7.24	0	ff261dadc107d0ce67b836a052d7131f9d9e4260	yam-peleg/Experiment30-7B
🔶	CorticalStack/pastiche-crown-clown-7b-dare-dpo 📑	76.5	72.78	89.15	64.51	78.8	84.85	68.92	fine-tuned on domain-specific datasets	MistralForCausalLM	float16	false	apache-2.0	7.24	0	1e1cd6e84d02a9c1d70c2a2037f485bc2b646391	CorticalStack/pastiche-crown-clown-7b-dare-dpo
🔶	MaziyarPanahi/Calme-7B-Instruct-v0.1.1 📑	76.49	72.95	89.26	64.32	78.1	85.16	69.14	fine-tuned on domain-specific datasets	MistralForCausalLM	float16	false	apache-2.0	7.24	9	22a9da7289d20a1d5452f77aa5bc49e97344af52	MaziyarPanahi/Calme-7B-Instruct-v0.1.1
💬	mlabonne/UltraMerge-7B 📑	76.49	73.04	89.25	64.4	78.17	84.85	69.22	chat models (RLHF, DPO, IFT, ...)	MistralForCausalLM	float16	false	apache-2.0	7.24	4	cd343f0846ceb4180297920b2da50d6b28dcb242	mlabonne/UltraMerge-7B
🔶	cloudyu/Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B 📑	76.48	71.25	85.24	77.28	66.74	84.29	74.07	fine-tuned on domain-specific datasets	MixtralForCausalLM	bfloat16	false	mit	60.81	0	6ba7b5acb65dd62c28585cba298e0d3671c14f3a	cloudyu/Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B

🔶

davidkim205/Rhea-72b-v0.5 📑

81.22

79.78

91.15

77.95

74.5

87.85

76.12

fine-tuned on domain-specific datasets

LlamaForCausalLM

float16

false

apache-2.0

72.29

29

fda5cf998a0f2d89b53b5fa490793e3e50bb8239

davidkim205/Rhea-72b-v0.5

💬

MTSAIR/MultiVerse_70B 📑

81

78.67

89.77

78.22

75.18

87.53

76.65

chat models (RLHF, DPO, IFT, ...)

LlamaForCausalLM

bfloat16

false

other

72.29

2

ea2b4ff8e5acd7a48993f56b2d7b99e049eb6939

MTSAIR/MultiVerse_70B

🔶

MTSAIR/MultiVerse_70B 📑

80.98

78.58

89.74

78.27

75.09

87.37

76.8

fine-tuned on domain-specific datasets

LlamaForCausalLM

float16

false

other

72.29

2

ea2b4ff8e5acd7a48993f56b2d7b99e049eb6939

MTSAIR/MultiVerse_70B

🔶

SF-Foundation/Ein-72B-v0.11 📑

80.81

76.79

89.02

77.2

79.02

84.06

78.77

fine-tuned on domain-specific datasets

?

bfloat16

false

apache-2.0

72

10

40d451f32b1a6c9ad694b32ba8ed4822c27f3022

SF-Foundation/Ein-72B-v0.11

🔶

SF-Foundation/Ein-72B-v0.13 📑

80.79

76.19

89.44

77.07

77.82

84.93

79.3

fine-tuned on domain-specific datasets

?

bfloat16

false

apache-2.0

72

4

1f302e0e15f3d3711778cd61686eb9b28b0c72ae

SF-Foundation/Ein-72B-v0.13

🔶

SF-Foundation/Ein-72B-v0.12 📑

80.72

76.19

89.46

77.17

77.78

84.45

79.23

fine-tuned on domain-specific datasets

?

bfloat16

false

apache-2.0

72

3

84d38e29fec0dc9c274237968fdafe9396702f9b

SF-Foundation/Ein-72B-v0.12

🔶

abacusai/Smaug-72B-v0.1 📑

80.48

76.02

89.27

77.15

76.67

85.08

78.7

fine-tuned on domain-specific datasets

LlamaForCausalLM

bfloat16

false

other

72.29

430

54a8c35600ec5cb30ca2129247854ece23e57f57

abacusai/Smaug-72B-v0.1

🔶

ibivibiv/alpaca-dragon-72b-v1 📑

79.3

73.89

88.16

77.4

72.69

86.03

77.63

fine-tuned on domain-specific datasets

LlamaForCausalLM

float16

false

other

72.29

19

4df251a558c53b6b6a4c459045b161951cfc3c4e

ibivibiv/alpaca-dragon-72b-v1

💬

moreh/MoMo-72B-lora-1.8.7-DPO 📑

78.55

70.82

85.96

77.13

74.71

84.06

78.62

chat models (RLHF, DPO, IFT, ...)

LlamaForCausalLM

bfloat16

false

mit

72.29

67

c64edea08b27be1e7e2ae6a95bcdd74849cb887e

moreh/MoMo-72B-lora-1.8.7-DPO

🔶

cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16 📑

77.91

74.06

86.74

76.65

72.24

83.35

74.45

fine-tuned on domain-specific datasets

MixtralForCausalLM

bfloat16

false

other

60.81

9

cd29cfa124072c96ba8601230bead65d76e04dcb

cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO_f16

🔶

saltlux/luxia-21.4b-alignment-v1.0 📑

77.74

77.47

91.88

68.1

79.17

87.45

62.4

fine-tuned on domain-specific datasets

LlamaForCausalLM

bfloat16

false

apache-2.0

21.42

19

ba3403eaafc6d1f6e3a73245314ee96025c08d96

saltlux/luxia-21.4b-alignment-v1.0

🔶

cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_full_linear_DPO 📑

77.52

74.06

86.67

76.69

71.32

83.43

72.93

fine-tuned on domain-specific datasets

MixtralForCausalLM

float16

false

other

60.81

2

e8e558b5fd4ac9da839577b1295d10ca75fc2663

cloudyu/TomGrc_FusionNet_34Bx2_MoE_v0.1_full_linear_DPO

🔶

zhengr/MixTAO-7Bx2-MoE-v8.1 📑

77.5

73.81

89.22

64.92

78.57

87.37

71.11

fine-tuned on domain-specific datasets

MixtralForCausalLM

bfloat16

false

apache-2.0

12.88

27

2d8cff968dbfb31e0c1ccc42053ccc4d2698a390

zhengr/MixTAO-7Bx2-MoE-v8.1

💬

yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B 📑

77.44

74.91

89.3

64.67

78.02

88.24

69.52

chat models (RLHF, DPO, IFT, ...)

MixtralForCausalLM

bfloat16

false

mit

12.88

46

915651208ea9f40c65a60d1f971a09f9461ee691

yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B

🔶

JaeyeonKang/CCK_Asura_v1 📑

77.43

73.89

89.07

75.44

71.75

86.35

68.08

fine-tuned on domain-specific datasets

LlamaForCausalLM

float16

false

cc-by-nc-4.0

68.98

2

7dd3ddea090bd63f3143e70d7d6237cc40c046e4

JaeyeonKang/CCK_Asura_v1

🔶

fblgit/UNA-SimpleSmaug-34b-v1beta 📑

77.41

74.57

86.74

76.68

70.17

83.82

72.48

fine-tuned on domain-specific datasets

LlamaForCausalLM

bfloat16

false

apache-2.0

34.39

14

e1cdc5b02c662c5f29a50d0b22c64a8902ca856b

fblgit/UNA-SimpleSmaug-34b-v1beta

🔶

TomGrc/FusionNet_34Bx2_MoE_v0.1 📑

77.38

73.72

86.46

76.72

71.01

83.35

73.01

fine-tuned on domain-specific datasets

MixtralForCausalLM

bfloat16

false

mit

60.81

7

6c7ec6d2ca1c0d126a26963fedc9bbdf5210b0d1

TomGrc/FusionNet_34Bx2_MoE_v0.1

🔶

migtissera/Tess-72B-v1.5b 📑

77.3

71.25

85.53

76.63

71.99

81.45

76.95

fine-tuned on domain-specific datasets

LlamaForCausalLM

float16

false

other

72.29

12

dc092ecc5d5a424678eac445a9f4443069776691

migtissera/Tess-72B-v1.5b

💬

moreh/MoMo-72B-lora-1.8.6-DPO 📑

77.29

70.14

86.03

77.4

69

84.37

76.8

chat models (RLHF, DPO, IFT, ...)

LlamaForCausalLM

bfloat16

false

mit

72.29

32

76389d5d825c3743cc70bc75b902bbfdad11beba

moreh/MoMo-72B-lora-1.8.6-DPO

🔶

abacusai/Smaug-34B-v0.1 📑

77.29

74.23

86.76

76.66

70.22

83.66

72.18

fine-tuned on domain-specific datasets

LlamaForCausalLM

bfloat16

false

other

34.39

50

7b74a95019f01b59630cbd6469814c752d0e59e5

abacusai/Smaug-34B-v0.1

🔶

cloudyu/Truthful_DPO_TomGrc_FusionNet_34Bx2_MoE 📑

77.28

72.87

86.52

76.96

73.28

83.19

70.89

fine-tuned on domain-specific datasets

MixtralForCausalLM

bfloat16

false

mit

60.81

4

097b951c2524e6113252fcd98ba5830c85dc450f

cloudyu/Truthful_DPO_TomGrc_FusionNet_34Bx2_MoE

🔶

ibivibiv/orthorus-125b-v2 📑

77.22

73.63

89.04

75.99

70.19

85.48

68.99

fine-tuned on domain-specific datasets

MixtralForCausalLM

float16

false

apache-2.0

125.35

3

95b3b4e432d98b804d64cfe42dd9fa6b67198e5b

ibivibiv/orthorus-125b-v2

🔶

ConvexAI/Luminex-34B-v0.2 📑

77.19

74.49

86.76

76.55

70.21

83.27

71.87

fine-tuned on domain-specific datasets

LlamaForCausalLM

float16

false

other

34.39

11

3880710724abcaffbdf8fa4031e1d02066fbfe9d

ConvexAI/Luminex-34B-v0.2

🔶

yunconglong/DARE_TIES_13B 📑

77.1

74.32

89.5

64.47

78.66

88.08

67.55

fine-tuned on domain-specific datasets

MixtralForCausalLM

bfloat16

false

other

12.88

9

74c6e4fbd272c9d897e8c93ee7de8a234f61900f

yunconglong/DARE_TIES_13B

🔶

yunconglong/13B_MATH_DPO 📑

77.08

74.66

89.51

64.53

78.63

88.08

67.1

fine-tuned on domain-specific datasets

MixtralForCausalLM

bfloat16

false

other

12.88

0

96c62ad90f2b82016a1cdbfe96cfa5c4bb278e21

yunconglong/13B_MATH_DPO

🔶

TomGrc/FusionNet_34Bx2_MoE 📑

77.07

72.95

86.22

77.05

71.31

83.98

70.89

fine-tuned on domain-specific datasets

MixtralForCausalLM

bfloat16

false

mit

60.81

8

c5575550053c84a401baf56174cb2e5d5bd9e79a

TomGrc/FusionNet_34Bx2_MoE

🔶

ConvexAI/Luminex-34B-v0.1 📑

77.06

73.63

86.59

76.55

69.68

83.43

72.48

fine-tuned on domain-specific datasets

LlamaForCausalLM

float16

false

other

34.39

7

d3efc551679d7ec00da14722d44151c948a48d25

ConvexAI/Luminex-34B-v0.1

🔶

yunconglong/MoE_13B_DPO 📑

77.05

74.32

89.39

64.48

78.47

88

67.63

fine-tuned on domain-specific datasets

MixtralForCausalLM

bfloat16

false

other

12.88

4

d8d6a47f877fee3e638a158c2bd637c0013ed4e4

yunconglong/MoE_13B_DPO

🔶

JaeyeonKang/CCK_Asura_v3.0 📑

77.03

72.95

88.86

75.41

69.1

85.08

70.81

fine-tuned on domain-specific datasets

LlamaForCausalLM

float16

false

cc-by-nc-4.0

68.98

0

06fd0e293aeb3b2722e3910daefcd185fad4558c

JaeyeonKang/CCK_Asura_v3.0

🔶

cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO 📑

76.95

73.21

86.11

75.44

72.78

82.95

71.19

fine-tuned on domain-specific datasets

MixtralForCausalLM

4bit

false

other

31.8

1

331bb6bdba4140bbf0031bd37076f2c8a76d7dbb

cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO

🔶

yam-peleg/Experiment26-7B 📑

76.74

73.38

89.15

64.32

78.24

84.93

70.43

fine-tuned on domain-specific datasets

MistralForCausalLM

float16

false

apache-2.0

7.24

71

bbaef291e93a7f6c9f8cb76a4dbd8c3c054d3f3c

yam-peleg/Experiment26-7B

🔶

MTSAIR/multi_verse_model 📑

76.74

72.87

89.2

64.4

77.92

84.77

71.27

fine-tuned on domain-specific datasets

MistralForCausalLM

bfloat16

false

apache-2.0

7.24

19

a4ca706d1bbc263b95e223a80ad68b0f125840b3

MTSAIR/multi_verse_model

🔶

chihoonlee10/T3Q-Mistral-Orca-Math-DPO 📑

76.7

72.95

89.23

64.42

78.41

84.93

70.28

fine-tuned on domain-specific datasets

MistralForCausalLM

float16

false

apache-2.0

7.24

2

f136ec75c9fb7c86c071291ddf418089c8f43da0

chihoonlee10/T3Q-Mistral-Orca-Math-DPO

🔶

yam-peleg/Experiment26-7B 📑

76.67

73.12

89.12

64.3

78.04

85

70.43

fine-tuned on domain-specific datasets

MistralForCausalLM

bfloat16

false

apache-2.0

7.24

71

bbaef291e93a7f6c9f8cb76a4dbd8c3c054d3f3c

yam-peleg/Experiment26-7B

🔶

rwitz/experiment26-truthy-iter-0 📑

76.65

73.29

89.11

64.35

77.86

84.93

70.36

fine-tuned on domain-specific datasets

MistralForCausalLM

bfloat16

false

mit

7.24

0

cd8bfad664fb7f9b017388d974dd3265f8c40396

rwitz/experiment26-truthy-iter-0

🔶

yam-peleg/Experiment30-7B 📑

76.62

73.38

89.13

64.28

77.98

84.93

70.05

fine-tuned on domain-specific datasets

MistralForCausalLM

float16

false

apache-2.0

7.24

0

ff261dadc107d0ce67b836a052d7131f9d9e4260

yam-peleg/Experiment30-7B

🔶

yam-peleg/Experiment28-7B 📑

76.62

73.04

89.04

64.44

78.49

85.4

69.29

fine-tuned on domain-specific datasets

MistralForCausalLM

float16

false

apache-2.0

7.24

0

5efde29924cf7158e4cbd642311a92a14e85597c

yam-peleg/Experiment28-7B

🔶

MaziyarPanahi/Calme-7B-Instruct-v0.2 📑

76.61

73.12

89.19

64.36

78

84.93

70.05

fine-tuned on domain-specific datasets

MistralForCausalLM

float16

false

apache-2.0

7.24

7

a283f4e8169009d683b329ae1a96c9a77ce5936a

MaziyarPanahi/Calme-7B-Instruct-v0.2

🔶

rwitz/experiment26-truthy-iter-1 📑

76.6

73.21

89.13

64.34

77.66

84.85

70.43

fine-tuned on domain-specific datasets

MistralForCausalLM

bfloat16

false

mit

7.24

0

cb04e33c4ff559b31767765100cd50c24ec2531c

rwitz/experiment26-truthy-iter-1

🔶

rwitz/experiment26-truthy-iter-2 📑

76.6

73.38

89.11

64.36

77.3

85

70.43

fine-tuned on domain-specific datasets

MistralForCausalLM

bfloat16

false

mit

7.24

0

1dc4edde961960f7263dc3bdd37ca9e9f7e451ea

rwitz/experiment26-truthy-iter-2

🔶

chlee10/T3Q-Merge-Mistral7B 📑

76.59

72.95

89.15

64.44

77.96

85

70.05

fine-tuned on domain-specific datasets

MistralForCausalLM

float16

false

apache-2.0

7.24

2

03405145ca06170f1b2e0acc838f573f0e090df8

chlee10/T3Q-Merge-Mistral7B

🔶

LeroyDyer/Mixtral_AI_Cyber_3.m1 📑

76.59

74.06

88.96

64.45

77.67

85

69.37

fine-tuned on domain-specific datasets

MistralForCausalLM

float16

false

openrail

7.24

1

0da1865ae1ce682d4002dd9935d20520e79ed520

LeroyDyer/Mixtral_AI_Cyber_3.m1

🔶

yam-peleg/Experiment31-7B 📑

76.58

73.55

89.19

64.36

78.31

85

69.07

fine-tuned on domain-specific datasets

MistralForCausalLM

bfloat16

false

apache-2.0

7.24

1

a27e0dfaf79af8da32fc4ff6c5eb8be46c9f5a13

yam-peleg/Experiment31-7B

🔶

yam-peleg/Experiment31-7B 📑

76.57

73.55

89.14

64.29

78.43

85.16

68.84

fine-tuned on domain-specific datasets

MistralForCausalLM

float16

false

apache-2.0

7.24

1

a27e0dfaf79af8da32fc4ff6c5eb8be46c9f5a13

yam-peleg/Experiment31-7B

🔶

yam-peleg/Experiment24-7B 📑

76.56

73.81

89.06

64.34

78.54

85.16

68.46

fine-tuned on domain-specific datasets

MistralForCausalLM

float16

false

apache-2.0

7.24

0

b7f5aa8d4c899c175a1dad40a03b4071df90bd8e

yam-peleg/Experiment24-7B

💬

zhengr/MixTAO-7Bx2-MoE-Instruct-v7.0 📑

76.55

74.23

89.37

64.54

74.26

87.77

69.14

chat models (RLHF, DPO, IFT, ...)

MixtralForCausalLM

bfloat16

false

apache-2.0

12.88

16

69b9280ee4d2a20ef5645798621e62dd9777c139

zhengr/MixTAO-7Bx2-MoE-Instruct-v7.0

🤝

bobofrut/ladybird-base-7B-v8 📑

76.55

73.21

89.19

64.39

76.82

85.32

70.36

base merges and moerges

MistralForCausalLM

bfloat16

false

apache-2.0

7.24

2

4774173a54be9a648e1cf03248af3ae3d51a0434

bobofrut/ladybird-base-7B-v8

🔶

yam-peleg/Experiment29-7B 📑

76.53

73.12

89.06

64.49

78.72

85

68.76

fine-tuned on domain-specific datasets

MistralForCausalLM

float16

false

apache-2.0

7.24

1

11a51df04f85047e166d63eb64cedc1ec02732a1

yam-peleg/Experiment29-7B

🔶

yam-peleg/Experiment30-7B 📑

76.53

73.46

89.09

64.4

77.76

84.85

69.6

fine-tuned on domain-specific datasets

MistralForCausalLM

bfloat16

false

apache-2.0

7.24

0

ff261dadc107d0ce67b836a052d7131f9d9e4260

yam-peleg/Experiment30-7B

🔶

CorticalStack/pastiche-crown-clown-7b-dare-dpo 📑

76.5

72.78

89.15

64.51

78.8

84.85

68.92

fine-tuned on domain-specific datasets

MistralForCausalLM

float16

false

apache-2.0

7.24

0

1e1cd6e84d02a9c1d70c2a2037f485bc2b646391

CorticalStack/pastiche-crown-clown-7b-dare-dpo

🔶

MaziyarPanahi/Calme-7B-Instruct-v0.1.1 📑

76.49

72.95

89.26

64.32

78.1

85.16

69.14

fine-tuned on domain-specific datasets

MistralForCausalLM

float16

false

apache-2.0

7.24

9

22a9da7289d20a1d5452f77aa5bc49e97344af52

MaziyarPanahi/Calme-7B-Instruct-v0.1.1

💬

mlabonne/UltraMerge-7B 📑

76.49

73.04

89.25

64.4

78.17

84.85

69.22

chat models (RLHF, DPO, IFT, ...)

MistralForCausalLM

float16

false

apache-2.0

7.24

4

cd343f0846ceb4180297920b2da50d6b28dcb242

mlabonne/UltraMerge-7B

🔶

cloudyu/Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B 📑

76.48

71.25

85.24

77.28

66.74

84.29

74.07

fine-tuned on domain-specific datasets

MixtralForCausalLM

bfloat16

false

mit

60.81

0

6ba7b5acb65dd62c28585cba298e0d3671c14f3a

cloudyu/Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B