YOUR MEMORY BUDGET

Local AI models for 24GB VRAM.

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

22 GBleft for weights at 4-bit
24 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.

1,129 models within the weight budget

Largest parameter count first · not a quality ranking

LightOn · Downloadable

alfred-40b-0723

Text generation

Generates text for conversations and writing.

Source listed
Jul 29, 2023
Parameters
40B
4-bit weights only
≈ 20 GB
License
apache-2.0
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LightOn · Downloadable

alfred-40b-1023

Text generation

Generates text for conversations and writing.

Source listed
Nov 16, 2023
Parameters
40B
4-bit weights only
≈ 20 GB
License
apache-2.0
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BRIA AI · Downloadable

fibo-scene-analyzer

VisionDocument readingObject detectionImage segmentationKeypoint detection

Understands text and images and responds in text.

Source listed
Sep 10, 2026
Parameters
36B
4-bit weights only
≈ 18 GB
License
cc-by-nc-4.0
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Cloudflare · Downloadable

clef-omni

Vision

Understands text and images and responds in text.

Source listed
Oct 9, 2026
Parameters
35.3B
4-bit weights only
≈ 17.6 GB
License
apache-2.0
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Ornith · Downloadable

Ornith-1.0-35B

VisionCoding

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

Source listed
Jun 21, 2026
Parameters
35B
4-bit weights only
≈ 17.5 GB
License
mit
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Ornith · Downloadable

Ornith-1.5-35B-A3B

VisionCoding

Built for coding agents and multi-step tasks. An open-weight model from the Ornith team.

Source listed
Aug 18, 2026
Parameters
35B
4-bit weights only
≈ 17.5 GB
License
mit
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Qwen · Alibaba · Downloadable

Qwen3.5-35B-A3B

Vision

Understands text and images and responds in text.

Source listed
Feb 24, 2026
Parameters
35B
4-bit weights only
≈ 17.5 GB
License
apache-2.0
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Qwen · Alibaba · Downloadable

Qwen3.6-35B-A3B

Vision

Understands text and images and responds in text.

Source listed
Apr 15, 2026
Parameters
35B
4-bit weights only
≈ 17.5 GB
License
apache-2.0
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BAAI · Downloadable

Aquila2-34B

Text generation

Generates text for conversations and writing.

Source listed
Oct 12, 2023
Parameters
34B
4-bit weights only
≈ 17 GB
License
other
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M-A-P · Downloadable

OpenCodeInterpreter-CL-34B

Text generationCoding

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

Source listed
Feb 19, 2024
Parameters
34B
4-bit weights only
≈ 17 GB
License
apache-2.0
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Meta · Downloadable

CodeLlama-34b-hf

Text generationCoding

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

Source listed
Mar 14, 2024
Parameters
34B
4-bit weights only
≈ 17 GB
License
llama2
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Meta · Downloadable

CodeLlama-34b-Instruct-hf

Text generationCoding

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

Source listed
Mar 14, 2024
Parameters
34B
4-bit weights only
≈ 17 GB
License
llama2
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Meta · Downloadable

CodeLlama-34b-Python-hf

Text generationCoding

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

Source listed
Mar 14, 2024
Parameters
34B
4-bit weights only
≈ 17 GB
License
llama2
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LightOn · Downloadable

OriOn-Qwen-SR1

VisionDocument reading

Understands text and images and responds in text.

Source listed
Apr 7, 2026
Parameters
33.4B
4-bit weights only
≈ 16.7 GB
License
apache-2.0
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BAAI · Downloadable

Aquila-33B

Text generation

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

Source listed
Aug 28, 2024
Parameters
33B
4-bit weights only
≈ 16.5 GB
License
other
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What changes with a 24GB budget?

With 2 GB set aside, 22 GB remains for weights. At 4-bit that allows up to 44 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