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

OpenMOSS · Downloadable

MOSS-VL-Base-0408

Video understandingEmbeddings

Generates text for conversations and writing.

Source listed
Apr 7, 2026
Parameters
11.3B
4-bit weights only
≈ 5.7 GB
License
apache-2.0
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OpenMOSS · Downloadable

MOSS-VL-Base-0708

Video understandingEmbeddings

Generates text for conversations and writing.

Source listed
Jul 13, 2026
Parameters
11.3B
4-bit weights only
≈ 5.7 GB
License
apache-2.0
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OpenMOSS · Downloadable

MOSS-VL-Realtime

Video understandingEmbeddings

Generates text for conversations and writing.

Source listed
Jul 14, 2026
Parameters
11.3B
4-bit weights only
≈ 5.7 GB
License
apache-2.0
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BAAI · Downloadable

OpenSeek-Mid-v1

Text generation

Generates text for conversations and writing.

Source listed
Apr 30, 2026
Parameters
10.6B
4-bit weights only
≈ 5.3 GB
License
Not disclosed
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Z.ai · Downloadable

Glyph

Vision

Understands text and images and responds in text.

Source listed
Oct 25, 2025
Parameters
10.3B
4-bit weights only
≈ 5.1 GB
License
mit
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Z.ai · Downloadable

UI2Code_N

VisionCoding

Designed for coding and software tasks. Understands text and images and responds in text.

Source listed
Nov 11, 2025
Parameters
10.3B
4-bit weights only
≈ 5.1 GB
License
mit
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Z.ai · Downloadable

WebVIA-Agent

Vision

Understands text and images and responds in text.

Source listed
Nov 12, 2025
Parameters
10.3B
4-bit weights only
≈ 5.1 GB
License
mit
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OpenBMB · Downloadable

cpm-ant-10b

Text generation

Generates text for conversations and writing.

Source listed
Jan 15, 2023
Parameters
10B
4-bit weights only
≈ 5 GB
License
Not disclosed
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OpenBMB · Downloadable

cpm-bee-10b

EmbeddingsText generation

Generates text for conversations and writing.

Source listed
May 26, 2023
Parameters
10B
4-bit weights only
≈ 5 GB
License
Not disclosed
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StepFun · Downloadable

Step3-VL-10B

Vision

Understands text and images and responds in text.

Source listed
Jan 13, 2026
Parameters
10B
4-bit weights only
≈ 5 GB
License
apache-2.0
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Datalab · Downloadable

lift

Vision

Understands text and images and responds in text.

Source listed
Jun 19, 2026
Parameters
9.7B
4-bit weights only
≈ 4.8 GB
License
openrail
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OpenBMB · Downloadable

MiniCPM-SALA

Text generation

Generates text for conversations and writing.

Source listed
Feb 11, 2026
Parameters
9.5B
4-bit weights only
≈ 4.7 GB
License
apache-2.0
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Black Forest Labs · Downloadable

flux-3-image-klein-pup

VisionImage generationImage editing

Understands text and images and responds in text.

Source listed
Oct 14, 2026
Parameters
9.4B
4-bit weights only
≈ 4.7 GB
License
apache-2.0
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Cloudflare · Downloadable

clef-flash

Vision

Understands text and images and responds in text.

Source listed
Sep 30, 2026
Parameters
9.4B
4-bit weights only
≈ 4.7 GB
License
apache-2.0
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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