d1-omni:600m
2 TagsUpdated 587M params16384 contextEnglish, German, Spanish, French, it, nl, pl, pt, ar, hi, ja, ru, Turkish, vi, ChineseLFM Open License v1.0by Liquid AI
d1-omni-600M (LFM2.5-Encoder-350M trunk; 587M in the checkpoint, 381M read for text), fp32: text questions in 15 languages, 16,384-token context.
587m
ollaya run d1-omni:600m --preset triage "I was charged twice for my subscription this month and want a refund."curl http://localhost:11435/api/decide \
-H "Content-Type: application/json" \
-d '{
"model": "d1-omni:600m",
"state": "I was charged twice for my subscription this month and want a refund.",
"questions": {
"department": {
"type": "choice",
"instructions": "Which team should handle this?",
"criteria": {
"billing": "Payments, invoices and refunds",
"technical": "Bugs, errors and outages",
"account": "Login, profile and settings"
}
},
"refund": {
"type": "noul",
"instructions": "Is the customer asking for a refund?"
}
}
}'# Already using a TypeSafe SDK? Set TYPESAFE_BASE_URL=http://localhost:11435 instead.
import requests
response = requests.post(
"http://localhost:11435/api/decide",
json={
"model": "d1-omni:600m",
"state": "I was charged twice for my subscription this month and want a refund.",
"questions": {
"department": {
"type": "choice",
"instructions": "Which team should handle this?",
"criteria": {
"billing": "Payments, invoices and refunds",
"technical": "Bugs, errors and outages",
"account": "Login, profile and settings"
}
},
"refund": {
"type": "noul",
"instructions": "Is the customer asking for a refund?"
}
}
},
)
answers = response.json()["answers"]
print(answers["department"]["choice"], answers["refund"]["noul"])const response = await fetch("http://localhost:11435/api/decide", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
model: "d1-omni:600m",
state: "I was charged twice for my subscription this month and want a refund.",
questions: {
department: {
type: "choice",
instructions: "Which team should handle this?",
criteria: {
billing: "Payments, invoices and refunds",
technical: "Bugs, errors and outages",
account: "Login, profile and settings"
}
},
refund: {
type: "noul",
instructions: "Is the customer asking for a refund?"
}
}
}),
});
const { answers } = await response.json();
console.log(answers.department.choice, answers.refund.noul);Details
- graph3c3db53090a3 · 4 MB
onnx · d1-omni · 587M · fp32 - weights0713bb05270c · 2.3 GB
huggingface.co/LiquidAI/d1-omni-600M/resolve/02b55d7…/model.safetensors - tokenizer1efc3a6609ab · 5 MB
huggingface.co/LiquidAI/d1-omni-600M/resolve/02b55d7…/tokenizer.json - decision7a0969de284a · 1 KB
{"engine": "onnx", "family": "d1-omni", "encoder": "", "layout": "d1-omni-markers-v1", …} - calibration9db77c5aad75 · 443 B
{"temperature_by_options": {"choice:11+": …, "choice:2": …, "choice:3-5": …, "choice:6-10": …, "noul:2": …, "score:3-5": …, "score:6-10": …}} - licensed31683c712de · 11 KB
d1-omni-600M by Liquid AI (https://huggingface.co/LiquidAI/d1-omni-600M).
Every layer is checked against its sha256 when it is pulled. Weights and tokenizers download from the model author's Hugging Face repository at a pinned commit; Ollaya never re-hosts them.