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SRU++ Large only 2 attention layers (k=5) (WT103)
About SRU++ Large only 2 attention layers (k=5) (WT103)
SRU++ Large only 2 attention layers (k=5) (WT103) is an AI model developed by ASAPP, in the language category, released in 2021, made available as a proprietary (API-only) model with 0.2B params.
On this page you'll find SRU++ Large only 2 attention layers (k=5) (WT103)'s full specifications. Review provider pricing and benchmark scores below, or compare SRU++ Large only 2 attention layers (k=5) (WT103) head-to-head with other language models.
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Frequently asked questions
What is SRU++ Large only 2 attention layers (k=5) (WT103)? ▶
SRU++ Large only 2 attention layers (k=5) (WT103) is an AI model developed by ASAPP, in the language category, released in 2021. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created SRU++ Large only 2 attention layers (k=5) (WT103)? ▶
SRU++ Large only 2 attention layers (k=5) (WT103) was developed by ASAPP and released in 2021.
Is SRU++ Large only 2 attention layers (k=5) (WT103) open source or proprietary? ▶
SRU++ Large only 2 attention layers (k=5) (WT103) is a proprietary model. It is accessed through an API rather than by downloading the weights.
How much does SRU++ Large only 2 attention layers (k=5) (WT103) cost? ▶
Pricing for SRU++ Large only 2 attention layers (k=5) (WT103) depends on the provider. See the providers table on this page for the latest API rates.
How does SRU++ Large only 2 attention layers (k=5) (WT103) perform on benchmarks? ▶
Benchmark scores for SRU++ Large only 2 attention layers (k=5) (WT103) 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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