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ULM-FiT
About ULM-FiT
ULM-FiT is an AI model developed by University of San Francisco, in the language category, released in 2018, made available as an open-weights model with 0.4B params.
On this page you'll find ULM-FiT's full specifications. Review provider pricing and benchmark scores below, or compare ULM-FiT head-to-head with other language models.
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Run ULM-FiT locally — what to buy
Share this build ↗Sized to what ULM-FiT 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 ULM-FiT? ▶
ULM-FiT is an AI model developed by University of San Francisco, in the language category, released in 2018. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created ULM-FiT? ▶
ULM-FiT was developed by University of San Francisco and released in 2018.
Is ULM-FiT open source or proprietary? ▶
ULM-FiT 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 ULM-FiT cost? ▶
Pricing for ULM-FiT depends on the provider. See the providers table on this page for the latest API rates.
How does ULM-FiT perform on benchmarks? ▶
Benchmark scores for ULM-FiT 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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