*This model was contributed to Hugging Face Transformers on 2025-08-22.*
# HunYuanMoEV1
HunYuanMoEV1 is Tencent's mixture-of-experts language model with 80B total parameters and 13B active parameters per token. It uses fine-grained expert routing with Grouped Query Attention, supports 256K context length, and offers dual-mode reasoning (fast and slow thinking).
The example below demonstrates how to generate text with [`Pipeline`] or the [`AutoModelForCausalLM`] class.
```python
from transformers import pipeline
pipe = pipeline(
task="text-generation",
model="tencent/Hunyuan-A13B-Instruct",
)
pipe("The future of artificial intelligence is")
```
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("tencent/Hunyuan-A13B-Instruct")
model = AutoModelForCausalLM.from_pretrained(
"tencent/Hunyuan-A13B-Instruct",
device_map="auto",
)
input_ids = tokenizer("The future of artificial intelligence is", return_tensors="pt").to(model.device)
output = model.generate(**input_ids, max_new_tokens=50)
print(tokenizer.decode(output[0], skip_special_tokens=True))
```
## HunYuanMoEV1Config
[[autodoc]] HunYuanMoEV1Config
## HunYuanMoEV1Model
[[autodoc]] HunYuanMoEV1Model
- forward
## HunYuanMoEV1ForCausalLM
[[autodoc]] HunYuanMoEV1ForCausalLM
- forward
## HunYuanMoEV1ForSequenceClassification
[[autodoc]] HunYuanMoEV1ForSequenceClassification
- forward
