YOUR MEMORY BUDGET

Local AI models for 16GB VRAM.

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

14 GBleft for weights at 4-bit
16 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.

352 models within the weight budget

Largest parameter count first · not a quality ranking

DeepSeek · Downloadable

deepseek-coder-1.3b-base

Text generationCoding

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

Source listed
Oct 28, 2023
Parameters
1.3B
4-bit weights only
≈ 0.7 GB
License
other
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Google · Downloadable

gemma-3-1b-it

Text generation

Generates text for conversations and writing.

Source listed
Mar 10, 2025
Parameters
1B
4-bit weights only
≈ 0.5 GB
License
gemma
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Google · Downloadable

gemma-3-1b-pt

Text generation

Generates text for conversations and writing.

Source listed
Feb 20, 2025
Parameters
1B
4-bit weights only
≈ 0.5 GB
License
gemma
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Google · Downloadable

vaultgemma-1b

Text generation

Generates text for conversations and writing.

Source listed
Sep 5, 2025
Parameters
1B
4-bit weights only
≈ 0.5 GB
License
gemma
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Meta · Downloadable

Llama-3.2-1B

Text generation

Generates text for conversations and writing.

Source listed
Sep 18, 2024
Parameters
1B
4-bit weights only
≈ 0.5 GB
License
llama3.2
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Qwen · Alibaba · Downloadable

Qwen3.5-0.8B

Vision

Understands text and images and responds in text.

Source listed
Feb 28, 2026
Parameters
800M
4-bit weights only
≈ 0.4 GB
License
apache-2.0
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Qwen · Alibaba · Downloadable

Qwen3-0.6B

Text generation

Generates text for conversations and writing.

Source listed
May 23, 2025
Parameters
600M
4-bit weights only
≈ 0.3 GB
License
apache-2.0
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Qwen · Alibaba · Downloadable

Qwen3-0.6B-MLX

Text generation

Generates text for conversations and writing.

Source listed
May 23, 2025
Parameters
600M
4-bit weights only
≈ 0.3 GB
License
apache-2.0
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What changes with a 16GB budget?

With 2 GB set aside, 14 GB remains for weights. At 4-bit that allows up to 28 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