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QUEST-30B-RL-B70-Turbo

Qwen family · 31.0B params

2recorded runs
94.6best tok/s
0verified

Evidence: 0 sourced runs · 2 awaiting review · 1 independent source · first recorded Aug 17, 2026 · last recorded Aug 17, 2026. What these labels mean.

What the QUEST-30B-RL-B70-Turbo numbers mean

The fastest result on our board is 94.6 output tok/s on an Intel Arc Pro B70 at Q5_K_M with a 2048-token context. That is about 10.6 ms per generated token — 500 tokens takes roughly 5.3 seconds. Prompt processing on the same record runs at 1342.0 tok/s, so a 2,000-token prompt is read in about 1.5 seconds. Across the 2 records we hold for this model the range is 77.2–94.6 tok/s on 2 GPUs, because quantisation, context length and the engine build all move the number.

How much VRAM does QUEST-30B-RL-B70-Turbo need?

QUEST-30B-RL-B70-Turbo has 31.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.

QuantisationEstimated VRAMSmallest card that fits
Q4_K_M (4-bit)20.9 GB32 GB
Q8_0 (8-bit)38.7 GB48 GB
FP16 (16-bit)72.1 GB96 GB

Long contexts and large batches raise the real number — read the smallest card as "possible with a reduced context". Measured throughput is on the benchmark board.

Fastest GPUs for this model (best tok/s)
  1. Intel Arc Pro B7094.6
  2. Intel Arc Pro B6077.2

Models with a similar footprint

ModelParamsQ4_K_M weights
Qwen3-30B-A3B-Instruct-250731B17.4 GB
Qwen3-30B-A3B-Thinking-250731B17.4 GB
Hy-MT2-30B-A3B30B16.9 GB
Muse-Glimmer-30B30B16.9 GB
Nemotron-3-Nano-Omni-30B-A3B-Reasoning30B16.9 GB
Nemotron-Cascade-2-30B-A3B32B18.0 GB

Ranked by distance from QUEST-30B-RL-B70-Turbo's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
Intel Arc Pro B70 · 32 GBQUEST-30B-RL-B70-TurboQ5_K_Mllama.cpp —204894.6 …1342.0—src
Intel Arc Pro B60 · 24 GBQUEST-30B-RL-B70-TurboQ5_K_Mllama.cpp —204877.2 …998.6—src
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