UC
University College London (UCL)
Language model · China ·Nov 2018

DMPFold

Language Open (Restricted)
3.8M
Parameters

About DMPFold

DMPFold is an AI model developed by University College London (UCL), in the language category, released in 2018, made available as an open-weights model with 0B params.

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

→ More models by University College London (UCL) → All language models → AI benchmarks leaderboard

Links

Announcement ↗

Run DMPFold locally — what to buy

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Sized to what DMPFold 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 DMPFold? ▶

DMPFold is an AI model developed by University College London (UCL), in the language category, released in 2018. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created DMPFold? ▶

DMPFold was developed by University College London (UCL) and released in 2018.

Is DMPFold open source or proprietary? ▶

DMPFold 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 DMPFold cost? ▶

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

How does DMPFold perform on benchmarks? ▶

Benchmark scores for DMPFold 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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