TU
Tsinghua University
Language model · China ·Aug 2022

GLM-130B

Language Open Weights
130B
Parameters

About GLM-130B

GLM-130B is an AI model developed by Tsinghua University, in the language category, released in 2022, made available as an open-weights model with 130B params.

On this page you'll find GLM-130B's full specifications. Review provider pricing and benchmark scores below, or compare GLM-130B head-to-head with other language models.

Links

Run GLM-130B locally — what to buy

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Sized to what GLM-130B 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 GLM-130B?

GLM-130B is an AI model developed by Tsinghua University, in the language category, released in 2022. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created GLM-130B?

GLM-130B was developed by Tsinghua University and released in 2022.

Is GLM-130B open source or proprietary?

GLM-130B 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 GLM-130B cost?

Pricing for GLM-130B depends on the provider. See the providers table on this page for the latest API rates.

How does GLM-130B perform on benchmarks?

Benchmark scores for GLM-130B 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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