YOUR MEMORY BUDGET

Local AI models for 24GB VRAM.

Explore models by theoretical weight storage. This shortlist covers available downloadable language models with a known or name-derived parameter count.

22 GBleft for weights at 4-bit
24 GB budget − 2 GB reserve

The reserve is your assumption, not a measured overhead allowance. The default 2 GB may be too little for your runtime or context length. Results are not confirmed fits and have no verified speed rating. Weight estimates use decimal GB and do not include quantization overhead. For timed results on one 12GB machine, see measured speeds.

1,141 models within the weight budget

Largest parameter count first · not a quality ranking

inclusionAI · Downloadable

SingGuard-2b

Vision

Understands text and images and responds in text.

Source listed
May 25, 2026
Parameters
2B
4-bit weights only
≈ 1 GB
License
apache-2.0
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inclusionAI · Downloadable

ZwZ-2B

Vision

Understands text and images and responds in text.

Source listed
Mar 4, 2026
Parameters
2B
4-bit weights only
≈ 1 GB
License
apache-2.0
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Kyutai · Downloadable

helium-1-2b

Text generation

Generates text for conversations and writing.

Source listed
Apr 30, 2025
Parameters
2B
4-bit weights only
≈ 1 GB
License
cc-by-sa-4.0
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Kyutai · Downloadable

helium-1-2b-hum

Text generation

Generates text for conversations and writing.

Source listed
Apr 30, 2025
Parameters
2B
4-bit weights only
≈ 1 GB
License
cc-by-sa-4.0
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Kyutai · Downloadable

helium-1-2b-pop

Text generation

Generates text for conversations and writing.

Source listed
Apr 30, 2025
Parameters
2B
4-bit weights only
≈ 1 GB
License
cc-by-sa-4.0
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Kyutai · Downloadable

Helium1-VL-2B

VisionEmbeddings

Understands text and images and responds in text.

Source listed
Dec 18, 2025
Parameters
2B
4-bit weights only
≈ 1 GB
License
cc-by-nc-sa-4.0
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LightOn · Downloadable

colgrep-agent-2B

Reinforcement learningText generation

Generates text for conversations and writing.

Source listed
Oct 3, 2026
Parameters
2B
4-bit weights only
≈ 1 GB
License
apache-2.0
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Liquid AI · Downloadable

d1-2B

VisionEmbeddings

Understands text and images and responds in text.

Source listed
Oct 24, 2026
Parameters
2B
4-bit weights only
≈ 1 GB
License
other
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Liquid AI · Downloadable

LFM3-VL-2B

Vision

Understands text and images and responds in text.

Source listed
Oct 19, 2026
Parameters
2B
4-bit weights only
≈ 1 GB
License
other
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What changes with a 24GB budget?

With 2 GB set aside, 22 GB remains for weights. At 4-bit that allows up to 44 billion parameters in the theoretical calculation. An 8-billion-parameter model alone needs approximately 4 GB at this precision, before its conversation cache and runtime.

Why might a listed model still fail to load?

Its actual weight format may need more space, the runtime may not support its architecture, or the conversation cache may exceed your reserve. Vision models can also need space for image processing. Check the original model card and measure your exact setup before relying on it.

Read the memory guide and technical sources · Compare two models