Model reference · open weights

Prompt-Refine

LLMs HiDream-ai Vision + text 1 build Open weights 389 dl/mo

Prompt-Refine is an open-weight language model from HiDream-ai. Prompt-Refine (BF16) weighs 62.5 GB; the smallest configuration that runs it is A100 80 GB.

What it is

Released byHiDream-ai
Released2026-05-13
Parameters31.3B
VRAM62.5 GB for the weights

What it runs on

Memory and cards for Prompt-Refine (BF16)

62.5 GBweights, file size
164 MBcache per 1K tokens
4.2 GBwindow cache per request
2.3 GBruntime overhead, at least
262,144 tokenscontext max
CardRequests at onceContext maxMemory
8K each32K each
RTX 3060 12 GB … L40S 48 GB
6 smaller cards
———
A100 80 GB2154K78.2 GB
H100 80 GB———78.1 GB
RTX PRO 6000 Blackwell 96 GB2153K93.8 GB
DGX Spark (GB10) 128 GB unified41133K107 GB
H200 141 GB83all 256K138 GB
B200 180 GB123all 256K176 GB
4× RTX 4090 24 GB
tensor parallel
32105K23.4 GB a card
4× RTX 3090 24 GB
tensor parallel
32106K23.4 GB a card
4× RTX 5090 32 GB
tensor parallel
95all 256K31.0 GB a card
2× H100 80 GB
tensor parallel
93all 256K78.1 GB a card
2× A100 80 GB
tensor parallel
169all 256K78.2 GB a card
4× L40S 48 GB
tensor parallel
1810all 256K44.0 GB a card
2× RTX PRO 6000 Blackwell 96 GB
tensor parallel
135all 256K93.8 GB a card
Memory needed at each load
Requests at once8K tokens each32K tokens each
170.3 GB74.4 GB
592.5 GB113 GB
8109 GB141 GB
16153 GB218 GB
32242 GB371 GB
64419 GB677 GB

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

From the model card

What HiDream-ai says about Prompt-Refine

Prompt Refine model for HiDream-O1-Image-Dev-2604. Finetuned from gemma-4-31b-it

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

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