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Ankh_base
About Ankh_base
Ankh_base is an AI model developed by Technical University of Munich, in the language category, released in 2023, made available as an open-weights model with 0.7B params.
On this page you'll find Ankh_base's full specifications. Review provider pricing and benchmark scores below, or compare Ankh_base head-to-head with other language models.
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Run Ankh_base locally — what to buy
Share this build ↗Sized to what Ankh_base 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 Ankh_base? ▶
Ankh_base is an AI model developed by Technical University of Munich, in the language category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Ankh_base? ▶
Ankh_base was developed by Technical University of Munich and released in 2023.
Is Ankh_base open source or proprietary? ▶
Ankh_base 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 Ankh_base cost? ▶
Pricing for Ankh_base depends on the provider. See the providers table on this page for the latest API rates.
How does Ankh_base perform on benchmarks? ▶
Benchmark scores for Ankh_base 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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