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Starling-LM-7B-alpha
About Starling-LM-7B-alpha
Starling-LM-7B-alpha is an AI model developed by University of California (UC) Berkeley, in the language category, released in 2023, made available as an open-weights model with 7B params.
On this page you'll find Starling-LM-7B-alpha's full specifications. Review provider pricing and benchmark scores below, or compare Starling-LM-7B-alpha head-to-head with other language models.
Links
Run Starling-LM-7B-alpha locally — what to buy
Share this build ↗Sized to what Starling-LM-7B-alpha 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 Starling-LM-7B-alpha? ▶
Starling-LM-7B-alpha is an AI model developed by University of California (UC) Berkeley, in the language category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Starling-LM-7B-alpha? ▶
Starling-LM-7B-alpha was developed by University of California (UC) Berkeley and released in 2023.
Is Starling-LM-7B-alpha open source or proprietary? ▶
Starling-LM-7B-alpha 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 Starling-LM-7B-alpha cost? ▶
Pricing for Starling-LM-7B-alpha depends on the provider. See the providers table on this page for the latest API rates.
How does Starling-LM-7B-alpha perform on benchmarks? ▶
Benchmark scores for Starling-LM-7B-alpha 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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