FA
Facebook AI Research
Speech model · United States ·Jul 2021

HuBERT

Speech Open (Restricted)
1B
Parameters

About HuBERT

HuBERT is an AI model developed by Facebook AI Research, in the speech category, released in 2021, made available as an open-weights model with 1B params.

On this page you'll find HuBERT's full specifications. Review provider pricing and benchmark scores below, or compare HuBERT head-to-head with other speech models.

→ More models by Facebook AI Research → All speech models → AI benchmarks leaderboard

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Run HuBERT locally — what fits

GPUs with enough VRAM to hold HuBERT at FP16 (lower precision needs less), from best value to most headroom. Generation speed depends on your tool, resolution and step count, so we don't estimate it.

Good
Intel Arc B580 12GB
Consumer GPU · ~$249
12 GB VRAM
fits at FP16 · ~7.5 GB headroom
See fit detail →
Better
AMD Ryzen AI Max+ 395
Consumer GPU · ~$1,999
128 GB VRAM
fits at FP16 · ~111.7 GB headroom
See fit detail →
Best
Apple M2 Ultra 192GB
Apple · ~$6,600
192 GB VRAM
fits at FP16 · ~169.3 GB headroom
See fit detail →

VRAM fit only — we don't estimate generation speed for image/video/audio models (it depends on the tool, resolution and steps).

Consumer GPU
33 options that fit
→
Apple
18 options that fit
→
Datacenter GPU
13 options that fit
→

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Frequently asked questions

What is HuBERT? ▶

HuBERT is an AI model developed by Facebook AI Research, in the speech category, released in 2021. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created HuBERT? ▶

HuBERT was developed by Facebook AI Research and released in 2021.

Is HuBERT open source or proprietary? ▶

HuBERT ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does HuBERT cost? ▶

Pricing for HuBERT depends on the provider. See the providers table on this page for the latest API rates.

How does HuBERT perform on benchmarks? ▶

Benchmark scores for HuBERT are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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