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Home/Models & Labs
Models & Labs

Liquid AI releases DSpark drafter for vision models

Hugging Face Blog·September 24, 2026·high confidence

Why it matters

  • →Speculative decoding drafter for vision-language models reduces latency significantly on edge hardware.
  • →Day-one support for major inference engines (llama.cpp, MLX, SGLang) lowers integration friction.
  • →Minimal parameter overhead (280M) makes it practical to deploy alongside existing VLMs.
Liquid AI releases DSpark drafter for vision models
©Hugging Face Blog

Liquid AI has released LFM2.5-VL-DSpark, a speculative decoding drafter designed to accelerate vision-language models on both edge devices and datacenter GPUs. The open-weight drafter adds just 280M parameters (8.9% overhead) to the target model while achieving up to 3.13x faster decoding on Apple Silicon M5 Max chips and 2.66x speedups on NVIDIA H100s. It ships with immediate integration support for llama.cpp, MLX-VLM, and SGLang, allowing developers to deploy faster VLM inference without rewriting their inference stacks. The release underscores a growing industry shift toward optimizing inference efficiency through specialized drafters rather than solely increasing model scale.

Read original

The story around this

Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.

Together AI Hosts MiniMax M3 for Efficient Inference — Together AI Blog1vLLM v0.25.0 Release Enhances Model Execution — vLLM Releases2vLLM v0.26.0 Release Enhances Model Support — vLLM Releases3Startups Innovate Beyond Transformers in LLMs — MIT Technology Review AI4LFM2.5-DSpark Boosts Inference Speed by Up to 3.2x — Hugging Face Blog5GLM 5.3 Flash: Z.AI's Cost-Efficient Model Variant — Sam Witteveen6llama.cpp adds vision target support for DFlash/Dspark — llama.cpp Releases7Liquid AI releases DSpark drafter for vision modelsLiquid AI releases LFM3 multimodal models — Hugging Face Blog8llama.cpp adds LiquidAI LFM3 model support — llama.cpp Releases9Together AI automates inference optimization with agents — Together AI Blog10Jun 2You are hereNov 4

How we got here

  1. 1
    Together AI Hosts MiniMax M3 for Efficient Inference

    Together AI Blog · June 2, 2026 · Related

  2. 2
    vLLM v0.25.0 Release Enhances Model Execution

    vLLM Releases · July 13, 2026 · Related

  3. 3
    vLLM v0.26.0 Release Enhances Model Support

    vLLM Releases · July 27, 2026 · Related

  4. 4
    Startups Innovate Beyond Transformers in LLMs

    MIT Technology Review AI · August 10, 2026 · Related

  5. 5
    LFM2.5-DSpark Boosts Inference Speed by Up to 3.2x

    Hugging Face Blog · August 20, 2026 · Same story

  6. 6
    GLM 5.3 Flash: Z.AI's Cost-Efficient Model Variant

    Sam Witteveen · August 30, 2026 · Related

  7. 7
    llama.cpp adds vision target support for DFlash/Dspark

    llama.cpp Releases · September 24, 2026 · Related

What happened next

  1. 8
    Liquid AI releases LFM3 multimodal models

    Hugging Face Blog · October 27, 2026 · Same story

  2. 9
    llama.cpp adds LiquidAI LFM3 model support

    llama.cpp Releases · October 28, 2026 · Same story

  3. 10
    Together AI automates inference optimization with agents

    Together AI Blog · November 4, 2026 · Related

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