User profile

vram-monk

15 runsFirst seen 2026-04-11Avg 63.0

Best PipelineScore

80.5MAINLINE

on DBRX Instruct 132B-MoE

Total tokens83.8KAcross every task this user has run

Avg latency947msPer task, across all submissions

Tasks run37515 submissions x ~25 tasks

Rigs used11Distinct hardware tags

Category signature

Average score per category across all 15 runs.

Code

62.1

Reason

63.5

Write

63.2

Tool Use

64.4

RAG

63.3

Speed

61.6

Hardware mix

Rigs this user benchmarked on.

a100-80gb2 (13%)

rtx-3060-12gb2 (13%)

macbook-pro-m3-pro-18gb2 (13%)

ryzen-7950x-cpu-only2 (13%)

dgx-h1001 (7%)

h200-141gb1 (7%)

rtx-4090-24gb1 (7%)

2x-rtx-40901 (7%)

m3-max-64gb1 (7%)

m3-pro-36gb1 (7%)

m1-air-8gb1 (7%)

Provider mix

Where they spend their tokens.

community2 (13%)

xai2 (13%)

alibaba2 (13%)

microsoft2 (13%)

ibm2 (13%)

databricks1 (7%)

meta1 (7%)

cohere1 (7%)

mistral1 (7%)

yi1 (7%)

Models tried

Best score per model. Click a model to see its full page.

#	Model	Provider	Best Score	Tier	Achieved
1	DBRX Instruct 132B-MoE	databricks	80.5	MAINLINE	2026-05-09
2	Magnum V4 72B	community	76.8	MAINLINE	2026-05-07
3	Grok-1 314B	xai	71.3	FEEDER	2026-05-12
4	Llama 4 8B Instruct	meta	71.0	FEEDER	2026-05-13
5	Command R	cohere	70.0	FEEDER	2026-05-13
6	Mixtral 8x7B Instruct	mistral	68.3	FEEDER	2026-05-09
7	Qwen 2.5 7B Instruct	alibaba	66.7	FEEDER	2026-05-16
8	Phi 3.5 MoE 42B	microsoft	66.0	FEEDER	2026-05-11
9	Yi 1.5 6B Chat	yi	61.1	FEEDER	2026-04-11
10	Phi 3.5 Mini	microsoft	56.7	TAP	2026-04-28
11	Granite 3.1 2B Instruct	ibm	53.7	TAP	2026-05-14
12	LLaVA 1.6 Mistral 7B	community	53.6	TAP	2026-05-21
13	Qwen 2.5 0.5B Instruct	alibaba	33.6	DRIP	2026-05-14

All submissions

Every run, ordered by score.

#	Model	Hardware	Score	Tier	Code	Reason	Write	Tool Use	RAG	Speed	Tokens	Avg ms	Date
1	DBRX Instruct 132B-MoE	dgx-h100	80.5	MAINLINE	82.6	75.6	78.6	84.6	85.8	76.7	5.7K	900	2026-05-09
2	Magnum V4 72B	a100-80gb	76.8	MAINLINE	72.7	76.2	81.5	77.7	74.3	81.7	5.3K	923	2026-05-07
3	Grok-1 314B	h200-141gb	71.3	FEEDER	69.7	69.2	73.8	67.7	72.2	77.8	5.0K	874	2026-05-12
4	Llama 4 8B Instruct	rtx-3060-12gb	71.0	FEEDER	71.6	74.8	65.8	70.3	69.8	72.0	5.7K	796	2026-05-13
5	Command R	rtx-4090-24gb	70.0	FEEDER	69.5	75.8	72.8	64.1	70.7	65.3	5.6K	1580	2026-05-13
6	Grok-1 314B	a100-80gb	68.9	FEEDER	73.7	64.2	63.8	69.4	70.7	70.4	5.4K	896	2026-05-03
7	Mixtral 8x7B Instruct	2x-rtx-4090	68.3	FEEDER	63.3	72.7	72.8	72.2	69.5	60.5	5.4K	2906	2026-05-09
8	Qwen 2.5 7B Instruct	macbook-pro-m3-pro-18gb	66.7	FEEDER	68.8	71.2	63.7	62.6	62.8	67.4	5.1K	787	2026-05-16
9	Phi 3.5 MoE 42B	m3-max-64gb	66.0	FEEDER	63.9	61.9	71.2	71.8	72.4	57.6	6.0K	1550	2026-05-11
10	Yi 1.5 6B Chat	m3-pro-36gb	61.1	FEEDER	55.2	63.9	65.3	63.2	57.0	64.4	5.4K	822	2026-04-11
11	Phi 3.5 Mini	ryzen-7950x-cpu-only	56.7	TAP	54.5	57.7	57.6	60.6	54.3	55.8	5.7K	342	2026-04-28
12	Granite 3.1 2B Instruct	m1-air-8gb	53.7	TAP	49.4	59.4	52.5	57.6	52.3	51.7	5.8K	356	2026-05-14
13	LLaVA 1.6 Mistral 7B	macbook-pro-m3-pro-18gb	53.6	TAP	51.9	50.8	55.6	57.9	57.6	50.0	5.9K	785	2026-05-21
14	Granite 3.1 2B Instruct	rtx-3060-12gb	46.5	TAP	48.5	47.4	43.5	50.0	43.5	43.4	6.2K	338	2026-04-19
15	Qwen 2.5 0.5B Instruct	ryzen-7950x-cpu-only	33.6	DRIP	35.9	31.9	28.9	36.9	37.3	29.9	5.6K	351	2026-05-14