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.

980 models within the weight budget

Largest parameter count first · not a quality ranking

Meta · Downloadable

MobileMoE-S-QAT

Text generation

Generates text for conversations and writing.

Source listed
Jun 11, 2026
Parameters
665.3M
4-bit weights only
≈ 0.3 GB
License
fair-noncommercial-research-license
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NVIDIA · Downloadable

Nemotron-3.5-Parse

VisionDocument reading

Understands text and images and responds in text.

Source listed
Sep 3, 2026
Parameters
630.8M
4-bit weights only
≈ 0.3 GB
License
openmdw-1.1
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Liquid AI · Downloadable

d1-omni-600M

VisionEmbeddings

Understands text and images and responds in text.

Source listed
Oct 5, 2026
Parameters
600M
4-bit weights only
≈ 0.3 GB
License
other
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Qwen · Alibaba · Downloadable

Qwen3-0.6B

Text generation

Generates text for conversations and writing.

Source listed
Apr 27, 2025
Parameters
600M
4-bit weights only
≈ 0.3 GB
License
apache-2.0
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StepFun · Downloadable

GOT-OCR-2.0-hf

Vision

Understands text and images and responds in text.

Source listed
Nov 22, 2024
Parameters
560.5M
4-bit weights only
≈ 0.3 GB
License
apache-2.0
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M-A-P · Downloadable

YuE-s1-0.5B

Text generation

Generates text for conversations and writing.

Source listed
Mar 18, 2025
Parameters
500M
4-bit weights only
≈ 0.3 GB
License
apache-2.0
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OpenBMB · Downloadable

BitCPM4-0.5B

Text generation

Generates text for conversations and writing.

Source listed
Jun 5, 2025
Parameters
500M
4-bit weights only
≈ 0.3 GB
License
apache-2.0
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OpenBMB · Downloadable

MiniCPM4-0.5B

Text generation

Generates text for conversations and writing.

Source listed
Jun 5, 2025
Parameters
500M
4-bit weights only
≈ 0.3 GB
License
apache-2.0
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Liquid AI · Downloadable

LFM2-VL-450M

Vision

Understands text and images and responds in text.

Source listed
Aug 12, 2025
Parameters
450M
4-bit weights only
≈ 0.2 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