model
Reflection Beam 1.0: how much memory, and what runs it
Text-only MoE, 256 experts, 8 active. Ollama offers beam:cloud only (no local tag on 17 Oct 2026). Official serving reference: 4× NVIDIA B300. Speed is not estimated: the formula streams every weight and understates sparse MoE.
Reflection Beam 1.0 needs about 307.7 GB at Q4_K_M with 8K context (estimate). See which GPUs and Macs fit it, and EU prices. Speed is not estimated for this mixture-of-experts model.
| Quantisation | Estimated memory |
|---|---|
| Q4 | 307.7 GBestimate |
| Q5 | 357.1 GBestimate |
| Q8 | 537.6 GBestimate |
| FP16 | 1,003.8 GBestimate |
At 8,192 tokens of context. Catalog quant rates are a formula. sourceUrl on that memory stays null.
Parameter count source: huggingface.co/reflection/Beam-1.0-501B-A23B. 501.3B total, 23.4B active. Memory math uses the total.
VRAM per quant and the cheapest rig for Reflection Beam 1.0
Three setups
Reflection Beam 1.0 · Q4 · 8,192 ctx
Estimated memory
307.7 GBestimate
306.5 GB weights · 0.4 GB KV cache · 0.8 GB overhead
Nothing in this dataset can run this model, not even with CPU offload.
Tokens per second are estimated from memory bandwidth, not from a measured benchmark. EUR prices include VAT. USD is an FX estimate. A price without a checked listing is marked price unverified. Run llama-bench yourself before you buy.
Want a build tailored to you? Custom report
Get new builds when GPU prices move
End of results
Embed this
[](https://localllmrig.com/can-i-run/beam-1.0/rtx-3060-12gb?utm_source=badge)
Model badge
[](https://localllmrig.com/models/beam-1.0?utm_source=badge)
Common questions
- How much memory does Reflection Beam 1.0 need at Q4?
- About 307.7 GB at 8,192 tokens: 306.5 GB weights, 0.4 GB KV cache, 0.8 GB overhead. That is an estimate. sourceUrl stays null.
- Does Reflection Beam 1.0 fit on a single 24 GB GPU?
- Not in full. The estimate is 307.7 GB, and a 24 GB card leaves 23.4 GB usable. sourceUrl stays null.
- Are the tokens per second measured?
- speed: not estimated for MoE yet