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---
tags:
- merge
- mergekit
- Qwen/Qwen1.5-72B
base_model:
- Qwen/Qwen1.5-72B
license: apache-2.0
language:
- en
library_name: transformers
---
# MegaQwen-120B
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64e380b2e12618b261fa6ba0/YmJ9J1UaDSS9fAtbHNkqS.jpeg)
Qwen-120B is created by interleaving a Qwen1.5-72B model with itself.
* [Qwen/Qwen1.5-72B](https://huggingface.co/Qwen/Qwen1.5-72B)
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "abideen/Qwen-120B"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
``` |