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vLLM Adds Day-0 Support for Flint Sparse Model Checkpoints

#vllm#flint#sparse-model#inference

vLLM announced day-0 support for Flint checkpoints, a sparse model with 40 billion total parameters and 2.5 billion active parameters. On a single GPU, vLLM decodes a single request at approximately 500 tokens per second using these checkpoints.

Coverage timeline

  1. vLLM BlogInferact and Recursive

    vLLM supports both Flint checkpoints (40B total, 2.5B active) from day 0, decoding a single request at about 500 tokens/s on one GPU.

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