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LatestFlashLabs1.0
FlashLabsAny-to-Any

FlashLabs Releases Chroma-4B, an Any-to-Any Model

The new 4-billion-parameter model handles text, image, and speech inputs and outputs, including direct speech-to-speech translation.

Nov 28, 2025
UpdateApache 2.0
Chroma-4B

AI research group FlashLabs has released Chroma-4B, a new multimodal model designed for true “any-to-any” capabilities. The 4-billion-parameter model is available under an Apache 2.0 license, making it accessible for both research and commercial applications.

Unlike many multimodal models that are limited to text and image processing, Chroma-4B can understand and generate content across text, images, and audio streams simultaneously. This allows for novel use cases that have been challenging for previous open-source models.

A More Flexible Multimodal Architecture

The model's key feature is its ability to handle complex input and output combinations. According to the release documentation, Chroma-4B supports tasks such as:

  • Direct speech-to-speech translation
  • Generating an audio description from an image
  • Answering text-based questions about an audio clip

This versatility stems from a unified architecture that processes all modalities within a single framework, rather than relying on separate, specialized components.

While at 4 billion parameters Chroma-4B is smaller than many flagship models, its release marks an interesting step forward for open, natively multi-sensory AI. By moving beyond the common text-vision paradigm, it provides a foundation for developing more integrated and intuitive applications. The model and its weights are available on Hugging Face.

Sources

  • FlashLabs/Chroma-4B

    Hugging Face

    Visit
OlderAlibaba Releases Z-Image-Turbo, A Fast Open Image ModelQwen · Alibaba · Text → Image · 11 months agoNewerDeepSeek-V3.2 Arrives With FP8 Weights, MIT LicenseDeepSeek · Text / LLM · 11 months ago

Get the model

Hugging Face

Specs

Parameters4B
Size14.3 GB
PrecisionBF16
ArchitectureChromaForConditionalGeneration
LicenseAPACHE-2.0
Downloads129
Likes392

Can you run it?

Runs on a laptop — about 5.5 GB at 4-bit.

  • BF16 (as published)

    24 GB GPU (RTX 3090 / 4090) · 32 GB Mac

    16.3 GB
  • 8-bit

    12 GB GPU (RTX 3060 / 4070) · 16 GB Mac

    8.2 GB
  • 4-bit

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    5.5 GB
Your machine
  • KV cache approximated from model size (no config metadata) at 8,192 tokens.

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Any-to-Any

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