Model reference · open weights

CASA-Helium1-VL-Shared

LLMs kyutai Vision + text 1 build Non-commercial 9 dl/mo

CASA-Helium1-VL-Shared is an open-weight language model from kyutai. CASA-Helium1-VL-2B-Shared (BF16) weighs 5.4 GB; the smallest configuration that runs it is RTX 3060 12 GB.

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

  • CASA-Helium1-VL-Shared is a 2.7B parameter image-text-to-text model developed by kyutai.
  • It is a variant of CASA-Helium1-VL-2B where self-attention and cross-attention layers share the same parameters.
  • The model supports English with a context length of 4096 tokens and is released under the cc-by-nc-sa-4.0 licence.

Summary of the kyutai/CASA-Helium1-VL-2B-Shared model card, 2026-10-01

What it is

Released bykyutai
Released2026-08-26
Parameters2.7B
VRAM5.4 GB for the weights

What it runs on

Memory and cards for CASA-Helium1-VL-2B-Shared (BF16)

5.4 GBweights, file size
115 MBcache per 1K tokens
1.9 GBruntime overhead, at least
4,096 tokenscontext max
CardRequests at onceContext maxMemory
4K each
RTX 3060 12 GB9all 4K11.6 GB
RTX 4060 Ti 16 GB17all 4K15.4 GB
RTX 3090 24 GB34all 4K23.4 GB
RTX 4090 24 GB34all 4K23.4 GB
RTX 5090 32 GB50all 4K31.0 GB
L40S 48 GB78all 4K44.0 GB
A100 80 GB150all 4K78.2 GB
H100 80 GB144all 4K78.1 GB
RTX PRO 6000 Blackwell 96 GB177all 4K93.8 GB
DGX Spark (GB10) 128 GB unified206all 4K107 GB
H200 141 GB271all 4K138 GB
B200 180 GB352all 4K176 GB
Memory needed at each load
Requests at once4K tokens each
17.7 GB
59.6 GB
811.0 GB
1614.8 GB
3222.3 GB
6437.3 GB

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

From the model card

What kyutai says about CASA-Helium1-VL-Shared

Read the model card

This repository contains the model weights for CASA-Helium1-VL-2B-Shared, introduced in the paper CASA: Cross-Attention over Self-Attention for Efficient Vision-Language Fusion. This is a variant of CASA-Helium1-VL-2B where the self-attention and cross-attention layers share the same parameters.

See CASA-Helium1-VL-2B for more information

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

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