IB
IBM
Speech model · United States ·Jul 2018

Big-Little Net (speech)

Speech Open (Restricted)
3.3M
Parameters

About Big-Little Net (speech)

Big-Little Net (speech) is an AI model developed by IBM, in the speech category, released in 2018, made available as an open-weights model with 0B params.

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

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Run Big-Little Net (speech) locally — what fits

GPUs with enough VRAM to hold Big-Little Net (speech) 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.

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

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Frequently asked questions

What is Big-Little Net (speech)?

Big-Little Net (speech) is an AI model developed by IBM, in the speech category, released in 2018. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Big-Little Net (speech)?

Big-Little Net (speech) was developed by IBM and released in 2018.

Is Big-Little Net (speech) open source or proprietary?

Big-Little Net (speech) 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 Big-Little Net (speech) cost?

Pricing for Big-Little Net (speech) depends on the provider. See the providers table on this page for the latest API rates.

How does Big-Little Net (speech) perform on benchmarks?

Benchmark scores for Big-Little Net (speech) 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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