LOADING DATASHEET
GROUNDED IN REAL HUMAN CONVERSATIONSYOUR BENCH
Hy MT2 1.8B
◆ OPEN
by Tencent
OPEN WEIGHTSLOCALAPIPAIDCLOSED
RANKED #222 OF 228 ASSISTANTS · OVERALL #338 OF 6,618 · VIBE SCORE 5.0 · 3 VOICES
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
HAPPY10.0
3 mentions
SAD-
0 mentions
VIBE TRAJECTORY
26 weeks · 811 voices
TOO QUIET
Not enough weekly voices to call a trend yet.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
WHAT THE INTERNET SAYS
Not enough discussion about Hy MT2 1.8B yet to call it. We found 3 posts but people did not say much either way.
2 POSTS · 1 COMMENTS · GITHUB · REDDIT
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT
- No complaints yet. The internet is still looking for one. Suspicious.
LOOKING FOR AN ALTERNATIVE?
Other models the crowd has fully reviewed, starting with text models like this one.
GLM 5.3
DeepSeek V4 Flash> SOURCES (12)
- REDDIT · 2026-06-01 · 537 UPVOTESLocal AI News You Missed - May 2026
Local AI News You Missed - May 2026
- BLUESKY · 2026-05-21 · 24 UPVOTESHy-MT2 🔥 New translation model family from Tencent Hunyuan ✨ 1.8B / 7B / 30B-A3B MoE ✨ Supports 33 languages ✨ 1.8B >
Hy-MT2 🔥 New translation model family from Tencent Hunyuan ✨ 1.8B / 7B / 30B-A3B MoE ✨ Supports 33 languages ✨ 1.8B >
- BLUESKY · 2026-05-22 · 19 UPVOTESTencent's Hy-MT2 (open-weight family of “fast-thinking” multilingual translation models) 🌱Three model sizes, 33 langu
Tencent's Hy-MT2 (open-weight family of “fast-thinking” multilingual translation models) 🌱Three model sizes, 33 langu
- BLUESKY · 2026-08-21 · 3 UPVOTES⚡ 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
⚡ 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
- BLUESKY · 2026-05-22 · 3 UPVOTESRepo: github.com/Tencent-Huny... Project: aistudio.tencent.com/llm/en?tabIn... Models: huggingface.co/collections/...
Repo: github.com/Tencent-Huny... Project: aistudio.tencent.com/llm/en?tabIn... Models: huggingface.co/collections/...
- BLUESKY · 2026-05-21 · 2 UPVOTESLink -> huggingface.co/tencent/Hy-M...
Link -> huggingface.co/tencent/Hy-M...
- REDDIT · 2026-08-22 · 1 UPVOTESComment in r/MachineLearning
Comment in r/MachineLearning
- REDDIT · 2026-08-22 · 1 UPVOTESComment in r/ollama
Comment in r/ollama
- REDDIT · 2026-08-22 · 1 UPVOTESComment in r/ollama
Comment in r/ollama
- GITHUB · 2026-08-22 · 0 UPVOTESfeat(gguf): support Q6_K, fix byte-level tokenizers, emit loadable packages
feat(gguf): support Q6_K, fix byte-level tokenizers, emit loadable packages
- GITHUB · 2026-08-22 · 0 UPVOTEScuda-ep: fp16 int4 GEMV ignores accuracy_level; no int8-activation path (49.7% of peak bandwidth vs llama.cpp 63.4%)
cuda-ep: fp16 int4 GEMV ignores accuracy_level; no int8-activation path (49.7% of peak bandwidth vs llama.cpp 63.4%)
- GITHUB · 2026-08-22 · 0 UPVOTEScuda-ep: prefill workspace grows ~2.07 MiB/prompt-token (6.7x justified); peak VRAM 170 MiB above llama.cpp despite smaller weights
cuda-ep: prefill workspace grows ~2.07 MiB/prompt-token (6.7x justified); peak VRAM 170 MiB above llama.cpp despite smaller weights