What GPU do I need to run allenai/OLMoE-1B-7B-0924-Instruct?
6.9B parameters, published in BF16. View on Hugging Face
Set up OLMoE-1B-7B-0924-InstructOLMoE-1B-7B-0924-Instruct is published by allenai on Hugging Face, with 16,695 downloads and 98 likes to date. It's a OlmoeForCausalLM model built for text-generation, published natively in BF16.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
| Precision | Weight size | Required VRAM | Cheapest live fit | GPUs needed | Est. $/hr (full fit) |
|---|---|---|---|---|---|
| BF16 | 12.9 GB | 15.5 GB | RTX 5060 Ti | 1 | $0.110/hr |
| FP8 (quantized) | 6.4 GB | 7.7 GB | RTX 5060 Ti | 1 | $0.110/hr |
| INT4 (quantized) | 3.2 GB | 3.9 GB | RTX 5060 Ti | 1 | $0.110/hr |
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run OLMoE-1B-7B-0924-Instruct at its published (BF16) precision: 1× RTX 5060 Ti, at $0.110/hr per GPU ($0.110/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
OLMoE-1B-7B-0924-Instruct: common questions
Does OLMoE-1B-7B-0924-Instruct fit on a 16 GB GPU?
Yes. At BF16 it needs 15.5 GB of VRAM, so a 16 GB card holds it with 0.5 GB to spare. A 12 GB card is not enough for it at BF16.
What is the least VRAM OLMoE-1B-7B-0924-Instruct can run in?
3.9 GB, at INT4 (quantized), which fits a 6 GB card, against 15.5 GB at BF16. That row assumes an INT4 checkpoint has actually been published for this model, so check its Hugging Face page before planning around it.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More OLMoE models
- OLMoE-1B-7B-0125-Instruct (6.9B, BF16)
- OLMoE-1B-7B-0924 (6.9B, BF16)
- OLMoE-1B-7B-0125 (6.9B, F32)
Related reading: H100 pricing and specs, The best GPUs for AI, ranked, and Best GPU for LLM inference.
