HU
Harvard University
Language model · United States ·Apr 2023

gLM

Language Open Weights
1B
Parameters

About gLM

gLM is an AI model developed by Harvard University, in the language category, released in 2023, made available as an open-weights model with 1B params.

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

→ More models by Harvard University → All language models → AI benchmarks leaderboard

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Run gLM locally — what to buy

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Sized to what gLM 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.

Best
Intel Arc B580 12GB
Consumer GPU · ~$249
~120 tok/s
Q4 · fits full context · up to 8k ctx
Runs with: ExLlamaV2, KoboldCpp, LM Studio
See full estimate →

Software support

·ExLlamaV2 ·KoboldCpp ·LM Studio ·MLX ·Ollama ·SGLang ·TensorRT-LLM ·llama.cpp ·vLLM ?KTransformers ?text-generation-webui

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

Consumer GPU
120+ tok/s
33 options →
Apple
120+ tok/s
18 options →
Datacenter GPU
120+ tok/s
13 options →

Community

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Frequently asked questions

What is gLM? ▶

gLM is an AI model developed by Harvard University, in the language category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created gLM? ▶

gLM was developed by Harvard University and released in 2023.

Is gLM open source or proprietary? ▶

gLM 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 cost? ▶

Pricing for gLM depends on the provider. See the providers table on this page for the latest API rates.

How does gLM perform on benchmarks? ▶

Benchmark scores for gLM 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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