coba:68m-ternary
16 TagsUpdated 75M params512 contextEnglishApache-2.0by Ollaya
The smallest: ternary Ettin 68M, in-domain.
fine-tuned75m
ollaya run coba:68m-ternary --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:68m-ternary",
"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:68m-ternary",
"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:68m-ternary",
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
- graphfb4e9fcb360e · 2 MB
onnx · encoder · 75M · fp32 - graph59bbf665d7e0 · 3 MB
onnx · encoder · 75M · fp16 - weights65dbde4c16fb · 299 MB
huggingface.co/ollaya-dev/coba-68m-ternary/resolve/e0c9c8f…/model.safetensors - tokenizer6c8aaa9a5420 · 4 MB
huggingface.co/ollaya-dev/coba-68m-ternary/resolve/e0c9c8f…/tokenizer/tokenizer.json - decisionb01dafbc1f88 · 457 B
{"engine": "onnx", "family": "laya", "encoder": "encoder", "layout": "laya-markers-v1", …} - calibrationf4a8b5dd4e1c · 87 B
{"temperature": [0.96, 0.83, 0.79]} - licenseef14791048a7 · 10 KB
Coba by Ollaya (https://huggingface.co/ollaya-dev) - archa6f8e9f4c2c5 · 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.