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

M-A-P · Downloadable

1.3B-100B-RetNet-pure

Text generation

Generates text, according to its published model architecture (RetNetForCausalLM). No task is listed on Hugging Face, so check the model card for intended use.

Source listed
Apr 20, 2025
Parameters
1.3B
4-bit weights only
≈ 0.7 GB
License
Not disclosed
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M-A-P · Downloadable

transformer_1.3B_baseline

Text generation

Generates text, according to its published model architecture (TransformerForCausalLM). No task is listed on Hugging Face, so check the model card for intended use.

Source listed
Sep 10, 2025
Parameters
1.3B
4-bit weights only
≈ 0.7 GB
License
Not disclosed
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Meta · Downloadable

MobileMoE-S-Base

Text generation

Generates text for conversations and writing.

Source listed
Jun 11, 2026
Parameters
1.3B
4-bit weights only
≈ 0.6 GB
License
fair-noncommercial-research-license
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Meta · Downloadable

MobileMoE-S-SFT

Text generation

Generates text for conversations and writing.

Source listed
Jun 11, 2026
Parameters
1.3B
4-bit weights only
≈ 0.6 GB
License
fair-noncommercial-research-license
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LightOn · Downloadable

RITA_xl

Text generation

Generates text for conversations and writing.

Source listed
Apr 25, 2022
Parameters
1.2B
4-bit weights only
≈ 0.6 GB
License
Not disclosed
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Liquid AI · Downloadable

LFM2-1.2B

Text generation

Generates text for conversations and writing.

Source listed
Jul 10, 2025
Parameters
1.2B
4-bit weights only
≈ 0.6 GB
License
other
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Liquid AI · Downloadable

LFM2-1.2B-Longevity

Text generation

Generates text, according to its published model architecture (Lfm2ForCausalLM). No task is listed on Hugging Face, so check the model card for intended use.

Source listed
May 25, 2026
Parameters
1.2B
4-bit weights only
≈ 0.6 GB
License
other
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Liquid AI · Downloadable

LFM2-1.2B-RAG

Text generation

Generates text for conversations and writing.

Source listed
Sep 3, 2025
Parameters
1.2B
4-bit weights only
≈ 0.6 GB
License
other
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Liquid AI · Downloadable

LFM2-1.2B-Tool

Text generation

Generates text for conversations and writing.

Source listed
Sep 3, 2025
Parameters
1.2B
4-bit weights only
≈ 0.6 GB
License
other
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Liquid AI · Downloadable

LFM2.5-1.2B-JP

Text generation

Generates text for conversations and writing.

Source listed
Jan 4, 2026
Parameters
1.2B
4-bit weights only
≈ 0.6 GB
License
other
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Liquid AI · Downloadable

LFM2.5-1.2B-Thinking

Text generationReasoning

Generates text for conversations and writing. Supports a reasoning mode.

Source listed
Jan 20, 2026
Parameters
1.2B
4-bit weights only
≈ 0.6 GB
License
other
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Tencent · Downloadable

HunyuanOCR

VisionDocument reading

Understands text and images and responds in text.

Source listed
Nov 18, 2025
Parameters
1.1B
4-bit weights only
≈ 0.6 GB
License
other
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Meta · Downloadable

MobileLLM-Pro

Text generation

Generates text for conversations and writing.

Source listed
Sep 10, 2025
Parameters
1.1B
4-bit weights only
≈ 0.5 GB
License
fair-noncommercial-research-license
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Meta · Downloadable

MobileLLM-Pro-base

Text generation

Generates text for conversations and writing.

Source listed
Oct 21, 2025
Parameters
1.1B
4-bit weights only
≈ 0.5 GB
License
fair-noncommercial-research-license
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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