javalo/Hy-MT2-1.8B
translation model by javalo
From the publisher
Model card & documentation
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English ｜ 中文 [](https://huggingface.co/collections/tencent/hy-mt2) [](https://modelscope.cn/collections/Tencent-Hunyuan/Hy-MT2) Hy-MT2 is a family of “fast-thinking” multilingual translation models designed for complex real-world scenarios. It includes three model sizes: 1.8B, 7B, and 30B-A3B (MoE), all of which support translation among 33 languages and effectively follow translation instructions in multiple languages. For on-device deployment, AngelSlim 1.25-bit extreme quantization reduces the storage requirement of the 1.8B model to only 440 MB and improves inference speed by 1.5x. Multi-dimensional evaluations show that Hy-MT2 delivers outstanding performance across general, real-world business, domain-specific, and instruction-following translation tasks. The 7B and 30B-A3B models outperform open-source models such as DeepSeek-V4-Pro and Kimi K2.6 in fast-thinking mode, while the lightweight 1.8B model also surpasses mainstream commercial APIs from providers such as Microsoft and Doubao overall. In this release, we also open-source IFMTBench, a benchmark for evaluating translation instruction-following capabilities. We also welcome everyone to use our released Hy-MT2-Translator Skill, which makes it easy to…
Read the full model card ↗ · Preview checked 2026-09-24T07:43:33.709Z
Inside the original model card — Document outline
- Model Introduction
- News
- Results
- Model Links
- Hy-MT2 Translation Task Instruction Examples (Chinese-English Comparison)
- Inference and Deployment
- transformers
- vllm
- sglang
- Model Training
- Quantization Tool
- Supported Languages
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
javalo/Hy-MT2-1.8B is a translation model repository published by javalo 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)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 2,038,515,712
- Architecture
- HunYuanDenseV1ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-24T06:30:30.000Z
- Last modified
- 2026-09-24T06:30:31.000Z
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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-24T06:37:32.927Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.