LOADING DATASHEET
LOADING DATASHEET
by Tencent
RANKED #157 OF 316 ASSISTANTS · OVERALL #209 OF 493 RANKED · VIBE SCORE 6.9 · 831 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and styl
6 mentions
0 mentions
26 weeks · 825 voices in this window
HONEYMOON FADING
Early praise is cooling off in recent weeks.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Hy MT2 1.8B once and it's yours. No subscription, no rate limits, works offline.
1.8B parameters, a Q4 file is about 1.1 GB (quantizes down to ~440 MB with AngelSlim)
Raspberry Pi 5 (8GB) or Mini PC with Intel N100
8 GB RAM
~$80Q4_K_M GGUF, ~15 tok/s, 8k context
Nvidia GeForce GTX 1660 Super (Used PC)
6 GB VRAM
~$120 USEDFull FP16 offloaded to VRAM, ~90 tok/s, 8k context
Nvidia GeForce RTX 3060 12GB
12 GB VRAM
~$280Full FP16 or FP8 batch processing, ~160 tok/s, full context
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long Hy MT2 1.8B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMRaspberry Pi 5 (8GB) or Mini PC with Intel N100 | SWEET SPOTNvidia GeForce GTX 1660 Super (Used PC) | FULL POWERNvidia GeForce RTX 3060 12GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~33 S★★★★★ | ~6 S★★★★★ | ~3 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~1.7 MIN★★★★★ | ~17 S★★★★★ | ~9 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~8.9 MIN★★★★★ | ~89 S★★★★★ | ~50 S★★★★★ |
| Build a backendan API with routes, storage and tests | ~28 MIN★★★★★ | ~4.6 MIN★★★★★ | ~2.6 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~17 MIN★★★★★ | ~2.8 MIN★★★★★ | ~1.6 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Not enough discussion about Hy MT2 1.8B yet to call it. We found 831 posts but people did not say much either way.
88 POSTS · 743 COMMENTS · GITHUB · REDDIT · BLUESKY · OTHER FORUMS
Other models the crowd has fully reviewed, starting with text models like this one.
Local AI News You Missed - May 2026
Hy-MT2 🔥 New translation model family from Tencent Hunyuan ✨ 1.8B / 7B / 30B-A3B MoE ✨ Supports 33 languages ✨ 1.8B >
Tencent's Hy-MT2 (open-weight family of “fast-thinking” multilingual translation models) 🌱Three model sizes, 33 langu
⚡ New open model to know: Hy-MT2-1.8B (Tencent) Context: 8.2k tokens · $0.04 in / $0.18 out per 1M · open weights All
Repo: github.com/Tencent-Huny... Project: aistudio.tencent.com/llm/en?tabIn... Models: huggingface.co/collections/...
Link -> huggingface.co/tencent/Hy-M...
🤗HuggingFace: Hunyuan-0.5B: Hunyuan-1.8B:
Comment in r/singularity
Comment in r/artificial
feat(gguf): support Q6_K, fix byte-level tokenizers, emit loadable packages
cuda-ep: fp16 int4 GEMV ignores accuracy_level; no int8-activation path (49.7% of peak bandwidth vs llama.cpp 63.4%)
feat(hy-mt2): add vLLM SDAA operator overlay