Model reference · open weights

xflux_text_encoders

LLMs XLabs-AI Text gen 1 build Open weights 325k dl/mo

xflux_text_encoders is an open-weight language model from XLabs-AI. xflux_text_encoders (BF16) weighs 9.5 GB; the smallest configuration that runs it is RTX 4060 Ti 16 GB.

What it is

Released byXLabs-AI
Released2024-08-11
Parameters4.8B
VRAM9.5 GB for the weights

What it runs on

Memory and cards for xflux_text_encoders (BF16)

9.5 GBweights, file size
393 MBcache per 1K tokens
664 MBruntime overhead, at least
CardRequests at onceContext maxMemory
8K each32K each
RTX 3060 12 GB——3K11.6 GB
RTX 4060 Ti 16 GB1—12K15.4 GB
RTX 3090 24 GB4132K23.4 GB
RTX 4090 24 GB4132K23.4 GB
RTX 5090 32 GB6151K31.0 GB
L40S 48 GB10283K44.0 GB
A100 80 GB215128K78.2 GB
H100 80 GB205128K78.1 GB
RTX PRO 6000 Blackwell 96 GB256128K93.8 GB
DGX Spark (GB10) 128 GB unified297128K107 GB
H200 141 GB389128K138 GB
B200 180 GB5012128K176 GB
Memory needed at each load
Requests at once8K tokens each32K tokens each
113.4 GB23.1 GB
526.3 GB74.6 GB
836.0 GB113 GB
1661.7 GB216 GB
32113 GB423 GB
64216 GB835 GB

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

From the model card

What XLabs-AI says about xflux_text_encoders

Text encoder weights from Google's T5 model

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

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