XLNet

Language Open (Restricted)
340M
Parameters

About XLNet

XLNet is an AI model developed by Carnegie Mellon University (CMU), in the language category, released in 2019, made available as an open-weights model with 0.3B params.

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

Links

Run XLNet locally — what to buy

Share this build ↗

Sized to what XLNet 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.

Community

Would you run XLNet again?
No votes yet — be the first.
Did it run? — community reports by hardware

No reports yet. Own this model on some hardware? Be the first to confirm it runs.

Discussion

No comments yet. Start the discussion.

More models like XLNet

Frequently asked questions

What is XLNet?

XLNet is an AI model developed by Carnegie Mellon University (CMU), in the language category, released in 2019. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created XLNet?

XLNet was developed by Carnegie Mellon University (CMU) and released in 2019.

Is XLNet open source or proprietary?

XLNet 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 XLNet cost?

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

How does XLNet perform on benchmarks?

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

No videos yet. Know a good one? Add it below.

Know a great video about XLNet?