tencent/HY-MT1.5-7B-GGUF

translation model by tencent

Open original source ↗

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

Hunyuan Translation Model Version 1.5 includes a 1.8B translation model, HY-MT1.5-1.8B, and a 7B translation model, HY-MT1.5-7B. Both models focus on supporting mutual translation across 33 languages and incorporating 5 ethnic and dialect variations. Among them, HY-MT1.5-7B is an upgraded version of our WMT25 championship model, optimized for explanatory translation and mixed-language scenarios, with newly added support for terminology intervention, contextual translation, and formatted translation. Despite having less than one-third the parameters of HY-MT1.5-7B, HY-MT1.5-1.8B delivers translation performance comparable to its larger counterpart, achieving both high speed and high quality.…

tencent/HY-MT1.5-7B-GGUF on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-28T00:27:51.711Z

Inside the original model card — Document outline
  1. Model Introduction
  2. Key Features and Advantages
  3. Related News
  4. Performance
  5. Model Links
  6. Prompts
  7. Prompt Template for ZHXX Translation.
  8. Prompt Template for XXXX Translation, excluding ZHXX.
  9. Prompt Template for terminology intervention.
  10. Prompt Template for contextual translation.
  11. Prompt Template for formatted translation.
  12. Use with llama.cpp

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Documentation belongs to its respective authors. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

tencent/HY-MT1.5-7B-GGUF is a translation model repository published by tencent on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
translation
Library
transformers
Recent downloads (30 days)
22,418
Cumulative likes
60
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
Not reported — check the model card
Access
Not gated by Hugging Face
Created
2025-12-30T08:26:48.000Z
Last modified
2026-01-07T07:58:25.000Z

Compatibility and lineage

Reported languages: zh, en, fr, pt, es, ja, tr, ru, ar, ko, th, it, de, vi, ms, id, tl, hi, pl, cs, nl, km, my, fa, gu, ur, te, mr, he, bn, ta, uk, bo, kk, mn, ug

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:35.191Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models

google-t5/t5-small

google-t5/t5-base

facebook/nllb-200-distilled-600M

Helsinki-NLP/opus-mt-nl-en

Helsinki-NLP/opus-mt-zh-en

facebook/nllb-200-distilled-1.3B