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Segatron XL base, M=384
About Segatron XL base, M=384
Segatron XL base, M=384 is an AI model developed by University of Waterloo, in the language category, released in 2020, made available as an open-weights model with 0.3B params.
On this page you'll find Segatron XL base, M=384's full specifications. Review provider pricing and benchmark scores below, or compare Segatron XL base, M=384 head-to-head with other language models.
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Run Segatron XL base, M=384 locally — what to buy
Share this build ↗Sized to what Segatron XL base, M=384 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 Segatron XL base, M=384? ▶
Segatron XL base, M=384 is an AI model developed by University of Waterloo, in the language category, released in 2020. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Segatron XL base, M=384? ▶
Segatron XL base, M=384 was developed by University of Waterloo and released in 2020.
Is Segatron XL base, M=384 open source or proprietary? ▶
Segatron XL base, M=384 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 Segatron XL base, M=384 cost? ▶
Pricing for Segatron XL base, M=384 depends on the provider. See the providers table on this page for the latest API rates.
How does Segatron XL base, M=384 perform on benchmarks? ▶
Benchmark scores for Segatron XL base, M=384 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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