PU
Princeton University
Language model · United States ·May 2022

TRIMELMlong (150M)

Language Open Weights
150M
Parameters

About TRIMELMlong (150M)

TRIMELMlong (150M) is an AI model developed by Princeton University, in the language category, released in 2022, made available as an open-weights model with 0.2B params.

On this page you'll find TRIMELMlong (150M)'s full specifications. Review provider pricing and benchmark scores below, or compare TRIMELMlong (150M) head-to-head with other language models.

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Sized to what TRIMELMlong (150M) 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 TRIMELMlong (150M)?

TRIMELMlong (150M) is an AI model developed by Princeton University, in the language category, released in 2022. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created TRIMELMlong (150M)?

TRIMELMlong (150M) was developed by Princeton University and released in 2022.

Is TRIMELMlong (150M) open source or proprietary?

TRIMELMlong (150M) 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 TRIMELMlong (150M) cost?

Pricing for TRIMELMlong (150M) depends on the provider. See the providers table on this page for the latest API rates.

How does TRIMELMlong (150M) perform on benchmarks?

Benchmark scores for TRIMELMlong (150M) 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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