LLMs · Tencent
Hunyuan Hy3 (295B-A21B)
- Parameters
- 299B (21.0B active)
- Architecture
- Mixture of experts
- Max context
- 256K tokens
- License
- apache-2.0
- Released
- 2026-07
How to run it
Quantized files · GGUF
Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.
huggingface.co/bartowski/Hy3-GGUF (opens in a new tab)
ollama run hf.co/bartowski/Hy3-GGUFOriginal weights · Hugging Face
Full-precision files from Tencent, for fine-tuning, vLLM, Transformers.
Official repo · GitHub
Reference code, inference scripts and docs from Tencent. The weights themselves download from Hugging Face.
github.com/Tencent-Hunyuan/Hy3 (opens in a new tab)
git clone https://github.com/Tencent-Hunyuan/Hy3Memory needed
Weights plus KV cache and runtime overhead. Leave a little extra free for the operating system and other apps.
| Quantization | Quality | Weights | Total at 8K context | Total at 32K context | Download |
|---|---|---|---|---|---|
Q2_K |
Low | 120 GB | 123 GB | 131 GB | GGUF · folder (opens in a new tab) |
Q3_K_M |
Low | 146 GB | 150 GB | 158 GB | GGUF · folder (opens in a new tab) |
Q4_K_M |
Good | 182 GB | 186 GB | 194 GB | GGUF · folder (opens in a new tab) |
Q5_K_M |
High | 212 GB | 215 GB | 223 GB | GGUF · folder (opens in a new tab) |
Q6_K |
High | 245 GB | 248 GB | 256 GB | GGUF · folder (opens in a new tab) |
Q8_0 |
Very high | 317 GB | 320 GB | 328 GB | GGUF · folder (opens in a new tab) |
F16 |
Full | 598 GB | 601 GB | 609 GB | Original weights (opens in a new tab) |
Best hardware for Hunyuan Hy3 (295B-A21B)
| Grade · points | Hardware | Quant | Memory | Speed | Fit |
|---|---|---|---|---|---|
| 89 ptsExcellent (S) · 89 of 100 points: Model quality 40.4/45, Memory fit 25.0/25, Speed 10.8/15, Memory use 13.0/15 | Apple M3 Ultra (512 GB) | Q4_K_M | 216 GB / 384 GB | 20.6 tok/s | Runs well |
| 86 ptsExcellent (S) · 86 of 100 points: Model quality 35.7/45, Memory fit 24.0/25, Speed 12.2/15, Memory use 15.0/15 | Apple M3 Ultra (256 GB) | Q3_K_M | 165 GB / 192 GB | 26.6 tok/s | Tight fit |
| 82 ptsGreat (A) · 82 of 100 points: Model quality 29.7/45, Memory fit 24.0/25, Speed 13.6/15, Memory use 15.0/15 | Apple M2 Ultra (192 GB) | Q2_K | 134 GB / 144 GB | 33.1 tok/s | Tight fit |
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.