TinyLlama-1.1B (1T token checkpoint)

Language Open (Restricted)
1.1B
Parameters

About TinyLlama-1.1B (1T token checkpoint)

TinyLlama-1.1B (1T token checkpoint) is an AI model developed by Singapore University of Technology & Design, in the language category, released in 2023, made available as an open-weights model with 1.1B params.

On this page you'll find TinyLlama-1.1B (1T token checkpoint)'s full specifications. Review provider pricing and benchmark scores below, or compare TinyLlama-1.1B (1T token checkpoint) head-to-head with other language models.

Links

Run TinyLlama-1.1B (1T token checkpoint) locally — what to buy

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Sized to what TinyLlama-1.1B (1T token checkpoint) 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 TinyLlama-1.1B (1T token checkpoint)?

TinyLlama-1.1B (1T token checkpoint) is an AI model developed by Singapore University of Technology & Design, in the language category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created TinyLlama-1.1B (1T token checkpoint)?

TinyLlama-1.1B (1T token checkpoint) was developed by Singapore University of Technology & Design and released in 2023.

Is TinyLlama-1.1B (1T token checkpoint) open source or proprietary?

TinyLlama-1.1B (1T token checkpoint) 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 TinyLlama-1.1B (1T token checkpoint) cost?

Pricing for TinyLlama-1.1B (1T token checkpoint) depends on the provider. See the providers table on this page for the latest API rates.

How does TinyLlama-1.1B (1T token checkpoint) perform on benchmarks?

Benchmark scores for TinyLlama-1.1B (1T token checkpoint) 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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