VTP Small F16d64
Developed by Minimax, VTP Small F 16d 64 is an open-source model that excels at generation tasks, particularly when integrated with contrastive, self-supervised, and reconstruction learning. Notably, it features a scalable architecture that allows for better generation performance compared to traditional auto-encoders, even with the same FLOPs in DiT training.
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Max Output
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Parameters
167.2M
Technical Specifications
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Capabilities
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Estimated GPU requirements for VTP Small F16d64
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 VTP Small F16d64
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Minimax has not published a context window for VTP Small F16d64, so the catalog shows it as not available rather than estimating one.
Yes. VTP Small F16d64 is an open-weight model released under the Other license, so the weights can be downloaded and self-hosted within that license's terms.
VTP Small F16d64 accepts Image and produces Embedding. 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 VTP Small F16d64 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; VTP Small F16d64 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 0.5 GB at INT8 for the weights and a default context, from the catalog's 167.2M 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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