@atomic_chat_hq: 1-bit Hy3 running locally is 2.2x faster than its API at the same quality! We gave both models the same task and compar…

X AI KOLs Following Models
1-bit local-inference gguf hy3 tencent open-source performance

Summary

Tencent's Hy3 295B model now available in 1-bit and 4-bit GGUF formats, achieving 2.2x faster local inference compared to cloud API while maintaining quality, as demonstrated by running on 4x RTX 5090 with 128GB VRAM.

1-bit Hy3 running locally is 2.2x faster than its API at the same quality! We gave both models the same task and compared one-shot outputs. 1-bit Hy3 295B GGUF (92GB) ran locally on 4x RTX 5090 with 128GB VRAM against the same Hy3 over cloud API Tasks: - Flappy Bird - Arkanoid - Snake Outputs: Hy3 1-bit local: 76.9K tokens, 15.5 min Hy3 cloud API: 75.1K tokens, 34.3 min The 1-bit games look the same as the API ones. Birds fly through the pipes, bricks break, the snake eats and grows. Nothing froze or crashed. Both models even made the same slip: the snake can cross itself and the game does not end. Getting this quality from 1 bit running locally is wild! Run Hy3 GGUF yourself in Atomic Chat in 2 clicks
Original Article
View Cached Full Text

Cached at: 07/16/26, 04:03 AM

1-bit Hy3 running locally is 2.2x faster than its API at the same quality!

We gave both models the same task and compared one-shot outputs. 1-bit Hy3 295B GGUF (92GB) ran locally on 4x RTX 5090 with 128GB VRAM against the same Hy3 over cloud API

Tasks:

  • Flappy Bird
  • Arkanoid
  • Snake

Outputs: Hy3 1-bit local: 76.9K tokens, 15.5 min Hy3 cloud API: 75.1K tokens, 34.3 min

The 1-bit games look the same as the API ones. Birds fly through the pipes, bricks break, the snake eats and grows. Nothing froze or crashed. Both models even made the same slip: the snake can cross itself and the game does not end. Getting this quality from 1 bit running locally is wild!

Run Hy3 GGUF yourself in Atomic Chat in 2 clicks

Tencent Hy (@TencentHunyuan): We’ve just released the 1-bit & 4-bit version of Hy3, a flagship-scale 295B model that can be served on a single GPU. 👌

Run Hy3 with llama.cpp, enable MTP, and experience powerful intelligence on dramatically lower hardware.🚀🚀🚀

Can’t wait to see what you build.

#Hy3 #Hy

Similar Articles

@Xudong07452910: A flagship large model with 295B parameters can now run on a single 96GB inference GPU, with 50% faster decoding. Tencent Hunyuan team releases quantized versions for Hy3 (295B parameters). The 1-bit version (IQ1_M) compresses weights from 598GB to 85.5GB, a 6…

X AI KOLs Timeline

Tencent Hunyuan team releases quantized versions for the 295B-parameter Hy3 large model. The 1-bit version compresses weights to 85.5GB, enabling deployment on a single 96GB inference GPU with ~50% faster decoding. The open-source GGUF format is compatible with the llama.cpp ecosystem.