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