Model reference · open weights

CASA-Qwen2_5-VL-Shared

LLMs kyutai Vision + text 1 build Non-commercial 11 dl/mo

CASA-Qwen2_5-VL-Shared is an open-weight language model from kyutai. CASA-Qwen2_5-VL-3B-Shared (BF16) weighs 7.5 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-Qwen2_5-VL-Shared is a 3.8B parameter image-text-to-text model developed by kyutai.
  • It is a variant of CASA-Qwen2_5-VL-3B where self-attention and cross-attention layers share parameters.
  • The model supports a context length of 128,000 tokens, operates in English, and is released under the cc-by-nc-sa-4.0 licence.

Summary of the kyutai/CASA-Qwen2_5-VL-3B-Shared model card, 2026-10-01

What it is

Released bykyutai
Released2026-08-26
Parameters3.8B
VRAM7.5 GB for the weights

What it runs on

Memory and cards for CASA-Qwen2_5-VL-3B-Shared (BF16)

7.5 GBweights, file size
37 MBcache per 1K tokens
2.0 GBruntime overhead, at least
128,000 tokenscontext max
CardRequests at onceContext maxMemory
8K each32K each
RTX 3060 12 GB6155K11.6 GB
RTX 4060 Ti 16 GB194all 125K15.4 GB
RTX 3090 24 GB4611all 125K23.4 GB
RTX 4090 24 GB4511all 125K23.4 GB
RTX 5090 32 GB7117all 125K31.0 GB
L40S 48 GB11428all 125K44.0 GB
A100 80 GB22756all 125K78.2 GB
H100 80 GB21353all 125K78.1 GB
RTX PRO 6000 Blackwell 96 GB26566all 125K93.8 GB
DGX Spark (GB10) 128 GB unified31077all 125K107 GB
H200 141 GB411102all 125K138 GB
B200 180 GB536134all 125K176 GB
2× RTX 3060 12 GB
tensor parallel
389all 125K11.6 GB a card
Memory needed at each load
Requests at once8K tokens each32K tokens each
19.8 GB10.7 GB
511.0 GB15.5 GB
811.9 GB19.2 GB
1614.3 GB28.8 GB
3219.2 GB48.2 GB
6428.8 GB86.8 GB

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

From the model card

What kyutai says about CASA-Qwen2_5-VL-Shared

Read the model card

This repository contains the model weights for CASA-Qwen2_5-VL-3B-Shared, introduced in the paper CASA: Cross-Attention over Self-Attention for Efficient Vision-Language Fusion. This is a variant of CASA-Qwen2_5-VL-3B where the self-attention and cross-attention layers share the same parameters.

See CASA-Qwen2_5-VL-3B 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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