Models › Beam 1.0 501B A23B (MoE)

Can I run Beam 1.0 501B A23B (MoE) in Australia?

Not on a single device we track at Q4_K_M. You would need multiple GPUs or a smaller quantisation.

Reflection · released 7 Oct 2026 new · 0.0M HF downloads (last 30 days)

501.27Btotal parameters · 23B active (MoE)
52layers (9 full-attention, 43 sliding-window)
0.39 GBKV cache @ 8k · 8 KV heads × 128 dim
Model card ↗config.json · source of counts

GPU + RAM offload sizing is off for this model: expert formula gave 523.45B > total 501.27B; offload sizing disabled.

GGUF builds: unsloth · auto-added detected 19 Oct 2026, 8:52 pm AEST · active params from: “f-experts (MoE) architecture with 501B total parameters and 23B active parameters. It supp”

Memory needed by quantisation (8k context)

QuantWeightsTotal neededCheapest hardware that fits
Q4_K_M
303.9 GB
305.3 GB
nothing we track (with a price)
Q5_K_M
356.5 GB
357.9 GB
nothing we track (with a price)
Q6_K
411.0 GB
412.4 GB
nothing we track (with a price)
Q8_0
532.6 GB
534.0 GB
nothing we track (with a price)
F16
1002.5 GB
1003.9 GB
nothing we track (with a price)

All hardware that fits at Q4_K_M

HardwareNeeds / usableEst. tok/sPriceRetailer link
Nothing we track fits.

The tok/s figures are bandwidth-based estimates for this model. Where a device has a measured benchmark, the estimate is calibrated to that run. They are not measurements. Methodology.

Graphics card + system RAM

Offload sizing not available: we couldn't read this model's expert layout from config.json.

Community measured

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Try other quantisations and context lengths in the Can I run it? tool → · Submit your own Beam 1.0 501B A23B (MoE) benchmark →

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