Hy‑MT2 1.8B

An open translation model from Tencent that turns English text into your reader's language. tencent/Hy-MT2-1.8B

Get started Run in your cloud Hugging Face

Accuracy

48.1

WMT24++, 1,488 segments, chrF++
Time per request

Not timed one request at a time
Serverless price

$1.13 in · $5.63 out

per 1M tokens

Translate 84% cheaper than Google Cloud Translation

48.1

Match with the human translation · 1,488 segments

$3.15

Cost per 1M characters

See the comparison on Translation

Call it

from sie_sdk import SIEClient
client = SIEClient(api_key="API keysk-sie-…")
text = "textStarting in Android 13, apps that you install need your permission to send notifications. Tap to change this permission for existing apps."
result = client.generate(
    "modeltencent/Hy-MT2-1.8B",
    f"<｜hy_begin▁of▁sentence｜><｜hy_User｜>Translate the following text into Japanese. Note that you should only output the translated result without any additional explanation: {text}<｜hy_Assistant｜>",
    max_new_tokens=256,
    temperature=0,
)
print(result["text"])

import { SIEClient } from '@superlinked/sie-sdk';

const client = new SIEClient(undefined, { apiKey: 'sk-sie-…' });

const text = "Starting in Android 13, apps that you install need your permission to send notifications. Tap to change this permission for existing apps.";
const result = await client.generate(
  'tencent/Hy-MT2-1.8B',
  `<｜hy_begin▁of▁sentence｜><｜hy_User｜>Translate the following text into Japanese. Note that you should only output the translated result without any additional explanation: ${text}<｜hy_Assistant｜>`,
  { maxNewTokens: 256, temperature: 0 },
);
console.log(result.text);

curl https://api.superlinked.com/v1/generate/tencent__Hy-MT2-1.8B \
  -H "Authorization: Bearer sk-sie-…" \
  -H "Content-Type: application/json" \
  -d "{\"prompt\":\"<｜hy_begin▁of▁sentence｜><｜hy_User｜>Translate the following text into Japanese. Note that you should only output the translated result without any additional explanation: Starting in Android 13, apps that you install need your permission to send notifications. Tap to change this permission for existing apps.<｜hy_Assistant｜>\",\"max_new_tokens\":256,\"temperature\":0}"

Build the "Translation" capability into my app using the Superlinked Inference Engine (SIE).

Context
- SIE is an OpenAI-style inference API. Python SDK: `from sie_sdk import SIEClient`; TypeScript: `@superlinked/sie-sdk`.
- Base URL: https://api.superlinked.com (or my regional endpoint). Auth: Bearer key from env `SIE_API_KEY` (never hard-code it).
- Model: tencent/Hy-MT2-1.8B (SIE primitive: /generate). Keep the model id configurable.

Task
- Input: a block of English text plus the target locale.
- Behaviour: return the text translated into the selected target language
- Call the selected SIE primitive once per request and map the response into your domain type.

Deliverables
- A typed client wrapper, an application-level function for this task, error handling for timeouts/empty input, and unit tests with a stubbed client.
- Wire it into my existing stack (ask me which framework if unclear) and add a short usage example.

Run

Output

Android 13以降では、インストールしたアプリが通知を送信するにはあなたの許可が必要です。既存のアプリのこの許可を変更するにはタップしてください。

Hy-MT2-1.8B

Next to the other translation models

Next to the other translation models
Model	WMT24++, 1,488 segments, chrF++	Time per request	Serverless price	Size
Hy-MT2 1.8B tencent	48.1	Not timed	$1.13 in · $5.63 out per 1M tokens	2.0B
madlad400 3b mt google	44.6	Not timed	$0.999 in · $5.00 out per 1M tokens	2.9B

Both translation models

Facts

Size: 2.0B parameters
License: Apache-2.0
Reads: Text, up to 4,096 tokens
Endpoint: generate

Evaluation

Accuracy: Run on SIE against the public dataset named in each figure
Prices: Serverless list prices
Sources: Task page runs and their inputs

Run Hy‑MT2 1.8B on Serverless or in your own cloud

SIE Serverless

We host the models; you call one API.

No idle GPUs, pay for what you use
Fits your stack: SDK, API, CLI, MCP
Self-host the same open-source engine
SOC 2 Type 2, US or EU data residency
Create an account to try Serverless

Get started

SIE Cluster

Kubernetes in your own cloud, backed by our engineers.

Terraform modules for your cloud
Apache-2.0, same engine as Serverless
GPU workers scale to zero between jobs
Separate worker pools for each tenant

Agent prompt Deploy SIE to our AWS account with the superlinked/sie/aws Terraform module. Docs: superlinked.com/docs/deployment.

Deploy SIE to our Google Cloud project with the superlinked/sie/google Terraform module. Docs: superlinked.com/docs/deployment.

Deploy SIE to our Azure subscription with the superlinked/sie/azure Terraform module. Docs: superlinked.com/docs/deployment.

Deploy SIE to our Alibaba Cloud account with the superlinked/sie/alicloud Terraform module. Docs: superlinked.com/docs/deployment.

Talk to us Deploy guide

SIE Local

The open-source server on your own machine.

NVIDIA GPU
One container, no cluster
Process your data fully offline
Same SDK and model IDs as Serverless

docker run --gpus all -p 8080:8080 ghcr.io/superlinked/sie-server:latest-cuda12-sglang

Quickstart

Translate 84% cheaper than Google Cloud Translation

Call it

Next to the other translation models

Facts

Run Hy‑MT2 1.8B on Serverless or in your own cloud