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.

1,130 models within the weight budget

Largest parameter count first · not a quality ranking

inclusionAI · Downloadable

Ling-3.0-tiny

Text generation

Generates text for conversations and writing.

Source listed
Aug 10, 2026
Parameters
7.9B
4-bit weights only
≈ 3.9 GB
License
mit
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Google · Downloadable

gemma-3n-E4B

VisionVideo understandingTranscription

Understands text and images and responds in text.

Source listed
Jun 3, 2025
Parameters
7.8B
4-bit weights only
≈ 3.9 GB
License
gemma
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Google · Downloadable

gemma-3n-E4B-it

VisionVideo understandingTranscription

Understands text and images and responds in text.

Source listed
Jun 3, 2025
Parameters
7.8B
4-bit weights only
≈ 3.9 GB
License
gemma
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OpenMOSS · Downloadable

Embodied_Planner-R1-Alfworld

Text generation

Generates text, according to its published model architecture (Qwen2ForCausalLM). No task is listed on Hugging Face, so check the model card for intended use.

Source listed
Jun 27, 2025
Parameters
7.6B
4-bit weights only
≈ 3.8 GB
License
cc-by-4.0
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OpenMOSS · Downloadable

Embodied_R1-ScienceWorld

Text generation

Generates text, according to its published model architecture (Qwen2ForCausalLM). No task is listed on Hugging Face, so check the model card for intended use.

Source listed
Jun 27, 2025
Parameters
7.6B
4-bit weights only
≈ 3.8 GB
License
cc-by-4.0
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BAAI · Downloadable

Matroyshka-ReRanker-beir

Text generation

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

Source listed
May 21, 2025
Parameters
7.1B
4-bit weights only
≈ 3.6 GB
License
Not disclosed
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BAAI · Downloadable

Matroyshka-ReRanker-document

Text generation

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

Source listed
May 21, 2025
Parameters
7.1B
4-bit weights only
≈ 3.6 GB
License
Not disclosed
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Aleph Alpha · Downloadable

llama-tfree-hat-pretrained-7b-dpo

Text generation

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

Source listed
Jul 30, 2025
Parameters
7B
4-bit weights only
≈ 3.5 GB
License
other
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BAAI · Downloadable

Aquila2-7B

Text generation

Generates text for conversations and writing.

Source listed
Oct 10, 2023
Parameters
7B
4-bit weights only
≈ 3.5 GB
License
other
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BAAI · Downloadable

AquilaDense-7B

Text generation

Generates text for conversations and writing.

Source listed
Jun 15, 2024
Parameters
7B
4-bit weights only
≈ 3.5 GB
License
apache-2.0
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BAAI · Downloadable

EVE-7B-HD-v1.0

Text generation

Generates text for conversations and writing.

Source listed
Jun 18, 2024
Parameters
7B
4-bit weights only
≈ 3.5 GB
License
apache-2.0
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BAAI · Downloadable

EVE-7B-HD-v2.0

Text generation

Generates text, according to its published model architecture (EVEQwen2ForCausalLM). No task is listed on Hugging Face, so check the model card for intended use.

Source listed
Feb 8, 2025
Parameters
7B
4-bit weights only
≈ 3.5 GB
License
apache-2.0
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BAAI · Downloadable

EVE-7B-v1.0

Text generation

Generates text for conversations and writing.

Source listed
Jul 2, 2024
Parameters
7B
4-bit weights only
≈ 3.5 GB
License
apache-2.0
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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