Personaplex 7B V1
NVIDIA's Personaplex 7B V 1 is a chat model capable of streaming and text generation, exceling at real-time speech-to-speech conversational interactions with natural dynamics such as interruptions and rapid turn-taking. Its dual-stream configuration allows for concurrent listening and speaking, enabling highly interactive conversations.
Input
Output
Context
-
Max Output
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Parameters
8.4B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Estimated GPU requirements for Personaplex 7B V1
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Frequently asked questions about Personaplex 7B V1
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
NVIDIA has not published a context window for Personaplex 7B V1, so the catalog shows it as not available rather than estimating one.
Yes. Personaplex 7B V1 is an open-weight model released under the Other license, so the weights can be downloaded and self-hosted within that license's terms.
Personaplex 7B V1 accepts Audio and produces Audio. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for Personaplex 7B V1 is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Personaplex 7B V1 is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
About 8.6 GB at INT8 for the weights and a default context, from the catalog's 8.4B parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
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