Article
Hy3 preview: A Rebuilt Hunyuan, a 21B-Active MoE, and a New Reasoning Receipe
imnotkitty
• • 5Leco Li
imnotkitty
AI & ML interests
None yet
Recent Activity
liked a model 20 days ago
deepseek-ai/DeepSeek-V4-Pro reacted to wangbuer999's post with 🔥 25 days ago
Testing AI controlling AI with Hy3 Preview I barely lifted a finger the whole time.
One-click deployment of Hermes on WorkBuddy took some time with a few rounds of adjustments, and I finally got it up and running smoothly
Only minor issue was setting up Supermemory it was a bit slow on the uptake. I had to go over simple steps several times, guiding it patiently like teaching a kid.
The experience of AI orchestrating AI is absolutely incredible. started running Agents with Hunyuan right after its release, and it actually works perfectly.
295B parameters, 21B active parameters, with direct access to TokenHub now great cost-performance ratio too
Honestly, I used to get stuck on all kinds of environment configurations when deploying Agents locally. Using Hy3 to take command made the whole process way more streamlined. repliedto their post 25 days ago
https://huggingface.co/spaces/tencent/Hy3-preview is out: an open-weights MoE reasoning model.
✅ 295B total / 21B active / 256K context
✅ Fused fast-and-slow thinking in a single model
✅ First model trained on Hunyuan's rebuilt pretraining + RL infra (Feb → Apr)
Benchmarks:
👉 SWE-Bench Verified, Terminal-Bench 2.0, BrowseComp, WideSearch — competitive results, particularly strong on agentic tool use
👉 Top score on Tsinghua's 2026 Spring math PhD qualifying exam
👉 Strong context-learning and instruction-following on Tencent's CL-bench / CL-bench-Life
More details can be found in my article: https://huggingface.co/blog/imnotkitty/hy3-previewOrganizations
upvoted an article 25 days ago
upvoted 2
articles 3 months ago
Article
What superpower does Kimi-K2.5 bring to the table?
imnotkitty
• • 5 Article
Uncensor any LLM with abliteration
mlabonne
• • 853