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SeqVec
About SeqVec
SeqVec is an AI model developed by Technical University of Munich, in the language category, released in 2019, made available as an open-weights model with 0.1B params.
On this page you'll find SeqVec's full specifications. Review provider pricing and benchmark scores below, or compare SeqVec head-to-head with other language models.
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Run SeqVec locally — what to buy
Share this build ↗Sized to what SeqVec actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
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Frequently asked questions
What is SeqVec? ▶
SeqVec is an AI model developed by Technical University of Munich, in the language category, released in 2019. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created SeqVec? ▶
SeqVec was developed by Technical University of Munich and released in 2019.
Is SeqVec open source or proprietary? ▶
SeqVec 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 SeqVec cost? ▶
Pricing for SeqVec depends on the provider. See the providers table on this page for the latest API rates.
How does SeqVec perform on benchmarks? ▶
Benchmark scores for SeqVec 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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