TU
Tsinghua University
Language model · China ·Aug 2021

ProteinLM

Language Open (Restricted)
3B
Parameters

About ProteinLM

ProteinLM is an AI model developed by Tsinghua University, in the language category, released in 2021, made available as an open-weights model with 3B params.

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

Links

Run ProteinLM locally — what to buy

Share this build ↗

Sized to what ProteinLM 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.

Community

Would you run ProteinLM again?
No votes yet — be the first.
Did it run? — community reports by hardware

No reports yet. Own this model on some hardware? Be the first to confirm it runs.

Discussion

No comments yet. Start the discussion.

More models like ProteinLM

Frequently asked questions

What is ProteinLM?

ProteinLM is an AI model developed by Tsinghua University, in the language category, released in 2021. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created ProteinLM?

ProteinLM was developed by Tsinghua University and released in 2021.

Is ProteinLM open source or proprietary?

ProteinLM 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 ProteinLM cost?

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

How does ProteinLM perform on benchmarks?

Benchmark scores for ProteinLM are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

No videos yet. Know a good one? Add it below.

Know a great video about ProteinLM?