Split (1)

train · 111 rows

model stringclasses 8 values	architecture stringclasses 4 values	params_b float64 20.9 79.7	quant stringclasses 4 values	size_gib float64 10.8 24.9	engine stringclasses 1 value	backend stringclasses 1 value	gpu stringclasses 1 value	vram_gb int64 32 32	test stringclasses 15 values	tokens_per_sec float64 10.4 16.7k	stddev float64 0.03 323 ⌀	date stringdate 2026-05-28 00:00:00 2026-05-29 00:00:00
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	pp128	3,605.03	48.69	2026-05-28
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	pp512	9,239.86	63.85	2026-05-28
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	pp2048	9,041.04	65.96	2026-05-28
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	pp4096	8,760.53	53.07	2026-05-28
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	pp8192	8,442.99	37.16	2026-05-28
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	pp16384	7,713.79	15.46	2026-05-28
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.61	llama.cpp	CUDA	RTX 5090	32	tg128	270.97	1.24	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	pp128	2,972.93	322.84	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	pp512	3,825.83	41.56	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	pp2048	3,740.84	1.29	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	pp4096	3,644.93	2.76	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	pp8192	3,484.57	7.2	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	pp16384	3,161.79	3.66	2026-05-28
Qwen3.6-27B	Dense	26.9	Q4_K_M	15.66	llama.cpp	CUDA	RTX 5090	32	tg128	77.09	0.16	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	pp128	4,423.05	74.78	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	pp512	10,674.44	108.43	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	pp2048	10,277.54	40.85	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	pp4096	9,999.48	26.46	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	pp8192	9,448.36	34.02	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	pp16384	8,558.68	16.72	2026-05-28
Nemotron-3-Nano-30B-A3B	MoE (3B active)	31.58	Q4_K_M	22.88	llama.cpp	CUDA	RTX 5090	32	tg128	363.69	1.58	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	pp128	7,220.69	67.12	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	pp512	16,749.65	148.73	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	pp2048	13,524.44	12.42	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	pp4096	11,684.53	43.99	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	pp8192	9,413.7	16.38	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	pp16384	6,677.6	14.13	2026-05-28
gpt-oss-20b	Dense	20.91	Q4_K_M	10.81	llama.cpp	CUDA	RTX 5090	32	tg128	367.9	1.18	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	pp128	2,972.2	321.87	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	pp512	3,835.77	43.26	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	pp2048	3,746.68	1.53	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	pp4096	3,655.53	9.44	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	pp8192	3,495.59	4.04	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	pp16384	3,161.77	3.81	2026-05-28
Qwen3.6-27B-MTP	Dense (MTP)	27.32	Q4_K_M	15.92	llama.cpp	CUDA	RTX 5090	32	tg128	76.99	0.09	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp128	2,381.32	29.12	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp512	4,447.3	39.42	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp2048	4,420.86	35.94	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp4096	4,380.75	11.49	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp8192	4,250.74	14.71	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp16384	4,042.73	18.93	2026-05-28
Qwen3-Coder-Next	MoE	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	tg128	224.87	1.86	2026-05-28
Qwen3.6-27B	Dense	26.9	Q6_K	20.97	llama.cpp	CUDA	RTX 5090	32	pp128	2,560.42	230.77	2026-05-29
Qwen3.6-27B	Dense	26.9	Q6_K	20.97	llama.cpp	CUDA	RTX 5090	32	pp512	3,190.61	32.25	2026-05-29
Qwen3.6-27B	Dense	26.9	Q6_K	20.97	llama.cpp	CUDA	RTX 5090	32	pp2048	3,152.9	10.03	2026-05-29
Qwen3.6-27B	Dense	26.9	Q6_K	20.97	llama.cpp	CUDA	RTX 5090	32	pp4096	3,078.76	3.62	2026-05-29
Qwen3.6-27B	Dense	26.9	Q6_K	20.97	llama.cpp	CUDA	RTX 5090	32	pp8192	2,955.62	2.05	2026-05-29
Qwen3.6-27B	Dense	26.9	Q6_K	20.97	llama.cpp	CUDA	RTX 5090	32	pp16384	2,725.3	0.79	2026-05-29
Qwen3.6-27B	Dense	26.9	Q6_K	20.97	llama.cpp	CUDA	RTX 5090	32	tg128	61.8	0.07	2026-05-29
Qwen3.6-27B	Dense	26.9	Q6_K	20.97	llama.cpp	CUDA	RTX 5090	32	mmlu	87.92	null	2026-05-29
Qwen3.6-27B	Dense	26.9	Q6_K	20.97	llama.cpp	CUDA	RTX 5090	32	arc_challenge	96.93	null	2026-05-29
Qwen3.6-27B	Dense	26.9	Q6_K	20.97	llama.cpp	CUDA	RTX 5090	32	hellaswag	95.44	null	2026-05-29
Qwen3.6-27B	Dense	26.9	Q6_K	20.97	llama.cpp	CUDA	RTX 5090	32	gsm8k	97.27	null	2026-05-29
Qwen3.6-27B	Dense	26.9	Q6_K	20.97	llama.cpp	CUDA	RTX 5090	32	humaneval	18.9	null	2026-05-29
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.6	llama.cpp	CUDA	RTX 5090	32	pp128	3,588.75	45.29	2026-05-29
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.6	llama.cpp	CUDA	RTX 5090	32	pp512	9,208.09	51.75	2026-05-29
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.6	llama.cpp	CUDA	RTX 5090	32	pp2048	9,014.19	41.42	2026-05-29
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.6	llama.cpp	CUDA	RTX 5090	32	pp4096	8,729.84	65.53	2026-05-29
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.6	llama.cpp	CUDA	RTX 5090	32	pp8192	8,362.15	25.66	2026-05-29
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.6	llama.cpp	CUDA	RTX 5090	32	pp16384	7,622.86	23.6	2026-05-29
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.6	llama.cpp	CUDA	RTX 5090	32	tg128	270.9	1.47	2026-05-29
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.6	llama.cpp	CUDA	RTX 5090	32	mmlu	84.99	null	2026-05-29
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.6	llama.cpp	CUDA	RTX 5090	32	arc_challenge	95.73	null	2026-05-29
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.6	llama.cpp	CUDA	RTX 5090	32	hellaswag	93.35	null	2026-05-29
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.6	llama.cpp	CUDA	RTX 5090	32	gsm8k	96.66	null	2026-05-29
Qwen3.6-35B-A3B	MoE (3B active)	34.66	UD-Q4_K_M	20.6	llama.cpp	CUDA	RTX 5090	32	humaneval	37.2	null	2026-05-29
Qwen3-Coder-Next	Dense	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp128	2,377.56	29.85	2026-05-29
Qwen3-Coder-Next	Dense	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp512	4,433.02	39.13	2026-05-29
Qwen3-Coder-Next	Dense	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp2048	4,416.98	17.75	2026-05-29
Qwen3-Coder-Next	Dense	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp4096	4,372.29	6.73	2026-05-29
Qwen3-Coder-Next	Dense	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp8192	4,253.72	18.44	2026-05-29
Qwen3-Coder-Next	Dense	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	pp16384	4,022.08	7.21	2026-05-29
Qwen3-Coder-Next	Dense	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	tg128	224.6	1.71	2026-05-29
Qwen3-Coder-Next	Dense	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	mmlu	83.69	null	2026-05-29
Qwen3-Coder-Next	Dense	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	arc_challenge	95.99	null	2026-05-29
Qwen3-Coder-Next	Dense	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	hellaswag	89.32	null	2026-05-29
Qwen3-Coder-Next	Dense	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	gsm8k	95.98	null	2026-05-29
Qwen3-Coder-Next	Dense	79.67	UD-Q2_K_XL	24.92	llama.cpp	CUDA	RTX 5090	32	humaneval	10.37	null	2026-05-29
gemma-4-31B-it	Dense	30.7	Q6_K	23.46	llama.cpp	CUDA	RTX 5090	32	pp128	2,485.54	170.26	2026-05-29
gemma-4-31B-it	Dense	30.7	Q6_K	23.46	llama.cpp	CUDA	RTX 5090	32	pp512	2,932.28	29.73	2026-05-29
gemma-4-31B-it	Dense	30.7	Q6_K	23.46	llama.cpp	CUDA	RTX 5090	32	pp2048	2,750.74	2.4	2026-05-29
gemma-4-31B-it	Dense	30.7	Q6_K	23.46	llama.cpp	CUDA	RTX 5090	32	pp4096	2,656.91	1.64	2026-05-29
gemma-4-31B-it	Dense	30.7	Q6_K	23.46	llama.cpp	CUDA	RTX 5090	32	pp8192	2,520.26	2.56	2026-05-29
gemma-4-31B-it	Dense	30.7	Q6_K	23.46	llama.cpp	CUDA	RTX 5090	32	pp16384	2,315.5	3.13	2026-05-29
gemma-4-31B-it	Dense	30.7	Q6_K	23.46	llama.cpp	CUDA	RTX 5090	32	tg128	52.84	0.03	2026-05-29
gemma-4-31B-it	Dense	30.7	Q6_K	23.46	llama.cpp	CUDA	RTX 5090	32	mmlu	87.82	null	2026-05-29
gemma-4-31B-it	Dense	30.7	Q6_K	23.46	llama.cpp	CUDA	RTX 5090	32	arc_challenge	97.61	null	2026-05-29
gemma-4-31B-it	Dense	30.7	Q6_K	23.46	llama.cpp	CUDA	RTX 5090	32	hellaswag	91.95	null	2026-05-29
gemma-4-31B-it	Dense	30.7	Q6_K	23.46	llama.cpp	CUDA	RTX 5090	32	gsm8k	97.5	null	2026-05-29
gemma-4-31B-it	Dense	30.7	Q6_K	23.46	llama.cpp	CUDA	RTX 5090	32	humaneval	95.73	null	2026-05-29
Nemotron-Cascade-2-30B-A3B	MoE (3B active)	31.58	Q4_K_M	23.02	llama.cpp	CUDA	RTX 5090	32	pp128	4,396.99	23.71	2026-05-29
Nemotron-Cascade-2-30B-A3B	MoE (3B active)	31.58	Q4_K_M	23.02	llama.cpp	CUDA	RTX 5090	32	pp512	10,646.68	83.38	2026-05-29
Nemotron-Cascade-2-30B-A3B	MoE (3B active)	31.58	Q4_K_M	23.02	llama.cpp	CUDA	RTX 5090	32	pp2048	10,338.38	32.81	2026-05-29
Nemotron-Cascade-2-30B-A3B	MoE (3B active)	31.58	Q4_K_M	23.02	llama.cpp	CUDA	RTX 5090	32	pp4096	10,029.01	24.97	2026-05-29
Nemotron-Cascade-2-30B-A3B	MoE (3B active)	31.58	Q4_K_M	23.02	llama.cpp	CUDA	RTX 5090	32	pp8192	9,508	20.63	2026-05-29
Nemotron-Cascade-2-30B-A3B	MoE (3B active)	31.58	Q4_K_M	23.02	llama.cpp	CUDA	RTX 5090	32	pp16384	8,580.44	9.8	2026-05-29
Nemotron-Cascade-2-30B-A3B	MoE (3B active)	31.58	Q4_K_M	23.02	llama.cpp	CUDA	RTX 5090	32	tg128	350.84	1.4	2026-05-29
Nemotron-Cascade-2-30B-A3B	MoE (3B active)	31.58	Q4_K_M	23.02	llama.cpp	CUDA	RTX 5090	32	mmlu	74.42	null	2026-05-29
Nemotron-Cascade-2-30B-A3B	MoE (3B active)	31.58	Q4_K_M	23.02	llama.cpp	CUDA	RTX 5090	32	arc_challenge	91.55	null	2026-05-29
Nemotron-Cascade-2-30B-A3B	MoE (3B active)	31.58	Q4_K_M	23.02	llama.cpp	CUDA	RTX 5090	32	hellaswag	75.68	null	2026-05-29

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