Model reference · open weights

openmoe

LLMs hpcai-tech Text gen · MoE 1 build Open weights 63 dl/mo

openmoe is an open-weight language model from hpcai-tech. openmoe-8B (BF16) weighs 47.4 GB; the smallest configuration that runs it is 2× RTX 5090 32 GB.

For self-hosting, compare this build's requirements below with the GPU you plan to rent.

What it is

Released byhpcai-tech
Released2023-09-05
VRAM47.4 GB for the weights

What it runs on

Memory and cards for openmoe-8B (BF16)

47.4 GBweights, file size
295 MBcache per 1K tokens
793 MBruntime overhead, at least
2,048 tokenscontext max
CardRequests at onceContext maxMemory
2K each
RTX 3060 12 GB … L40S 48 GB
6 smaller cards
A100 80 GB49all 2K78.2 GB
H100 80 GB40all 2K78.1 GB
RTX PRO 6000 Blackwell 96 GB66all 2K93.8 GB
DGX Spark (GB10) 128 GB unified89all 2K107 GB
H200 141 GB139all 2K138 GB
B200 180 GB202all 2K176 GB
2× RTX 5090 32 GB
tensor parallel
21all 2K31.0 GB a card
2× L40S 48 GB
tensor parallel
64all 2K44.0 GB a card
4× RTX 4090 24 GB
tensor parallel
70all 2K23.4 GB a card
4× RTX 3090 24 GB
tensor parallel
71all 2K23.4 GB a card
Memory needed at each load
Requests at once2K tokens each
148.8 GB
551.2 GB
853.0 GB
1657.9 GB
3267.5 GB
6486.9 GB

One card, with vLLM's small-card settings.

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