AL
Alibaba
Multimodal model · China ·May 2023

ONE-PEACE

Multimodal Open (Restricted)
4B
Parameters

About ONE-PEACE

ONE-PEACE is an AI model developed by Alibaba, in the multimodal category, released in 2023, made available as an open-weights model with 4B params.

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

→ More models by Alibaba → All multimodal models → AI benchmarks leaderboard

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Announcement ↗

Run ONE-PEACE locally — what to buy

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Sized to what ONE-PEACE 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
72–120+ tok/s
32 options →
Apple
43.5–120+ tok/s
18 options →
Datacenter GPU
120+ tok/s
13 options →

Community

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Frequently asked questions

What is ONE-PEACE? ▶

ONE-PEACE is an AI model developed by Alibaba, in the multimodal category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created ONE-PEACE? ▶

ONE-PEACE was developed by Alibaba and released in 2023.

Is ONE-PEACE open source or proprietary? ▶

ONE-PEACE 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 ONE-PEACE cost? ▶

Pricing for ONE-PEACE depends on the provider. See the providers table on this page for the latest API rates.

How does ONE-PEACE perform on benchmarks? ▶

Benchmark scores for ONE-PEACE 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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