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d1-3B-GGUF

d1-3B is a decision model developed by Liquid AI: it answers named, typed questions over a state (text, JSON or images) in one forward pass, with no generated tokens.

Find more details in the original model card: https://huggingface.co/LiquidAI/d1-3b

🏃 How to run d1-3B

Example usage with llama.cpp:

llama-server -hf LiquidAI/d1-3B-GGUF:Q8_0

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

The state can be null when the images are the whole state.