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LiquidAI/d1-omni-600M-GGUF overview

<div align="center" <img src="https://cdn uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" alt="Liquid AI" style="…

ggufliquidlfm2.5edgedecisionclassificationcalibrationsystem-onemultimodalvisionaudiollama.cppimage-text-to-textendeesfritnlplptarhija

Runs locally from ~250.6 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
8,266
Likes
45
Pipeline
image-text-to-text
Author

Repository Files & Downloads

6 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
d1-omni-600M-BF16.ggufGGUFBF16728.7 MBDownload
d1-omni-600M-F16.ggufGGUFF16728.7 MBDownload
d1-omni-600M-Q8_0.ggufGGUFQ8_0388.3 MBDownload
mmproj-d1-omni-600M-BF16.ggufGGUFBF16421.9 MBDownload
mmproj-d1-omni-600M-F16.ggufGGUFF16420.8 MBDownload
mmproj-d1-omni-600M-Q8_0.ggufGGUFQ8_0250.6 MBDownload

Model Details

Model IDLiquidAI/d1-omni-600M-GGUF
AuthorLiquidAI
Pipelineimage-text-to-text
Licenseother
Base modelLiquidAI/d1-omni-600M
Last modified2026-10-17T09:33:50.000Z

Model README

---

library_name: gguf

license: other

license_name: lfm1.0

license_link: LICENSE

language:

  • en
  • de
  • es
  • fr
  • it
  • nl
  • pl
  • pt
  • ar
  • hi
  • ja
  • ru
  • tr
  • vi
  • zh

pipeline_tag: image-text-to-text

base_model: LiquidAI/d1-omni-600M

tags:

  • liquid
  • lfm2.5
  • edge
  • decision
  • classification
  • calibration
  • system-one
  • multimodal
  • vision
  • audio
  • gguf
  • llama.cpp

---

<div align="center">

<img

src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png"

alt="Liquid AI"

style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"

/>

<div style="display: flex; justify-content: center; gap: 0.5em; margin-bottom: 1em;">

<a href="https://playground.liquid.ai/"><strong>Try LFM</strong></a> •

<a href="https://docs.liquid.ai/lfm/getting-started/welcome"><strong>Docs</strong></a> •

<a href="https://discord.com/invite/liquid-ai"><strong>Discord</strong></a>

</div>

</div>

d1-omni-600M-GGUF

d1-omni-600M is a decision model developed by Liquid AI: it answers named, typed questions over a state (text, JSON, images or audio) in one forward pass, with no generated tokens.

Find more details in the original model card: https://huggingface.co/LiquidAI/d1-omni-600m

🏃 How to run d1-omni-600M

Example usage with llama.cpp:

llama-server -hf LiquidAI/d1-omni-600M-GGUF:Q8_0 -b 4096 -ub 4096

A question is read in one batch, so -b and -ub must hold it: 4096 covers any image and states of a few thousand tokens, raise them up to 16384 for longer states.

Then send questions to the /v1/systemone endpoint.

Text

curl http://127.0.0.1:8080/v1/systemone -H "Content-Type: application/json" -d '{
  "state": "I was charged twice this month, please refund one of them.",
  "questions": {
    "refund":  {"type": "noul", "instructions": "Is the customer asking for a refund?"},
    "team":    {"type": "choice", "instructions": "Which team should handle this?",
                "criteria": {"billing": "Charges, refunds, invoices", "technical": "App or site faults",
                             "fraud": "Suspected unauthorised use"}},
    "urgency": {"type": "score", "instructions": "How urgent is this?",
                "criteria": ["Can wait", "Today", "Blocking the customer now"]}
  }
}'

Image + Text

curl -sL -o cats.jpg http://images.cocodataset.org/val2017/000000039769.jpg  # two cats on a sofa

curl http://127.0.0.1:8080/v1/systemone -H "Content-Type: application/json" -d @- <<JSON
{
  "state": "Photo attached to a pet-sitting request.",
  "images": ["data:image/jpeg;base64,$(base64 < cats.jpg | tr -d '\n')"],
  "questions": {
    "pet":  {"type": "choice", "instructions": "Which animals are in the photo?",
             "criteria": {"cats": "Cats", "dogs": "Dogs", "birds": "Birds"}},
    "sofa": {"type": "noul", "instructions": "Are the animals on a sofa?"}
  }
}
JSON

Audio + Text

curl -sL -o jfk.wav https://github.com/ggml-org/whisper.cpp/raw/master/samples/jfk.wav

curl http://127.0.0.1:8080/v1/systemone -H "Content-Type: application/json" -d @- <<JSON
{
  "state": "Recording from a public event.",
  "files": ["data:audio/wav;base64,$(base64 < jfk.wav | tr -d '\n')"],
  "questions": {
    "kind": {"type": "choice", "instructions": "What kind of utterance is this?",
             "criteria": {"request": "A request to do something",
                          "question": "A question asking for information",
                          "speech": "A speech to an audience"}},
    "calm": {"type": "score", "instructions": "How calm is the speaker?",
             "criteria": ["Agitated", "Neutral", "Calm"]}
  }
}
JSON

The state can be null when the images or the audio are the whole state. A request carries images or one audio clip (up to 30 s), not both.

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