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Fugaku-LLM
About Fugaku-LLM
Fugaku-LLM is an AI model developed by Tohoku University, in the language category, released in 2024, made available as an open-weights model with 13B params.
On this page you'll find Fugaku-LLM's full specifications. Review provider pricing and benchmark scores below, or compare Fugaku-LLM head-to-head with other language models.
Links
Run Fugaku-LLM locally — what to buy
Share this build ↗Sized to what Fugaku-LLM 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 Fugaku-LLM? ▶
Fugaku-LLM is an AI model developed by Tohoku University, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Fugaku-LLM? ▶
Fugaku-LLM was developed by Tohoku University and released in 2024.
Is Fugaku-LLM open source or proprietary? ▶
Fugaku-LLM 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 Fugaku-LLM cost? ▶
Pricing for Fugaku-LLM depends on the provider. See the providers table on this page for the latest API rates.
How does Fugaku-LLM perform on benchmarks? ▶
Benchmark scores for Fugaku-LLM 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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