YOUR MEMORY BUDGET

Local AI models for 12GB VRAM.

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

10 GBleft for weights at 4-bit
12 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.

978 models within the weight budget

Largest parameter count first · not a quality ranking

Z.ai · Downloadable

codegeex4-all-9b

Text generationCoding

Designed for coding and software tasks. Generates text for conversations and writing.

Source listed
Jul 5, 2024
Parameters
9B
4-bit weights only
≈ 4.5 GB
License
other
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Z.ai · Downloadable

glm-4-9b

Text generation

Generates text for conversations and writing.

Source listed
Jun 4, 2024
Parameters
9B
4-bit weights only
≈ 4.5 GB
License
other
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Z.ai · Downloadable

GLM-4.1V-9B-Thinking

VisionReasoning

Understands text and images and responds in text. Supports a reasoning mode.

Source listed
Jun 28, 2025
Parameters
9B
4-bit weights only
≈ 4.5 GB
License
mit
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Tencent · Downloadable

POINTS-GUI-G

Vision

Understands text and images and responds in text.

Source listed
Feb 3, 2026
Parameters
8.9B
4-bit weights only
≈ 4.5 GB
License
other
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Tencent · Downloadable

POINTS-Seeker

Text generation

Generates text for conversations and writing.

Source listed
Mar 24, 2026
Parameters
8.9B
4-bit weights only
≈ 4.5 GB
License
other
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Datalab · Downloadable

chandra

VisionDocument reading

Understands text and images and responds in text.

Source listed
Oct 21, 2025
Parameters
8.8B
4-bit weights only
≈ 4.4 GB
License
openrail
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inclusionAI · Downloadable

ArmorOCR

VisionDocument reading

Understands text and images and responds in text.

Source listed
Aug 20, 2026
Parameters
8.8B
4-bit weights only
≈ 4.4 GB
License
apache-2.0
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Microsoft · Downloadable

UniRG-CXR

Vision

Understands text and images and responds in text.

Source listed
Mar 19, 2026
Parameters
8.8B
4-bit weights only
≈ 4.4 GB
License
apache-2.0
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OpenBMB · Downloadable

MiniCPM-V-4_5

VisionDocument readingEmbeddings

Understands text and images and responds in text.

Source listed
Aug 24, 2025
Parameters
8.7B
4-bit weights only
≈ 4.3 GB
License
apache-2.0
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OpenBMB · Downloadable

MiniCPM-Llama3-V-2_5

VisionDocument readingEmbeddings

Understands text and images and responds in text.

Source listed
May 19, 2024
Parameters
8.5B
4-bit weights only
≈ 4.3 GB
License
Not disclosed
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BAAI · Downloadable

Emu3-Chat

Text generation

Generates text for conversations and writing.

Source listed
Sep 26, 2024
Parameters
8.5B
4-bit weights only
≈ 4.2 GB
License
apache-2.0
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inclusionAI · Downloadable

ViLaSR

Vision

Understands text and images and responds in text.

Source listed
Jun 1, 2025
Parameters
8.3B
4-bit weights only
≈ 4.1 GB
License
Not disclosed
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BAAI · Downloadable

AquilaMed-RL

Text generation

Generates text for conversations and writing.

Source listed
Jun 12, 2024
Parameters
8.2B
4-bit weights only
≈ 4.1 GB
License
other
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What changes with a 12GB budget?

With 2 GB set aside, 10 GB remains for weights. At 4-bit that allows up to 20 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