coba:1b
16 TagsUpdated 1.1B params512 contextEnglishApache-2.0by Ollaya
The most accurate size (Ettin 1B): 0.608 on typed decisions, zero-shot.
1.1b
ollaya run coba:1b --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": "coba:1b",
"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": "coba:1b",
"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: "coba:1b",
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
- grapha031573f8daf · 3 MB
onnx · encoder · 1.1B · fp32 - graphd7d2283df2ad · 4 MB
onnx · encoder · 1.1B · fp16 - weights37603159c90c · 4.4 GB
huggingface.co/ollaya-dev/coba-1b/resolve/044c84c…/model.safetensors - tokenizer6c8aaa9a5420 · 4 MB
huggingface.co/ollaya-dev/coba-1b/resolve/044c84c…/tokenizer/tokenizer.json - decisionb01dafbc1f88 · 457 B
{"engine": "onnx", "family": "laya", "encoder": "encoder", "layout": "laya-markers-v1", …} - calibration568c4a80539b · 86 B
{"temperature": [0.89, 0.8, 0.69]} - licenseef14791048a7 · 10 KB
Coba by Ollaya (https://huggingface.co/ollaya-dev) - archeca91c9a5c40 · 1 KB
application/vnd.ollaya.arch
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.