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README.md
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library_name: transformers
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---
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# GLM-4-
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## Installation
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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MODEL_PATH = "THUDM/GLM-4-
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tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH)
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model = AutoModelForCausalLM.from_pretrained(MODEL_PATH, device_map="auto")
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}
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out = model.generate(**generate_kwargs)
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print(tokenizer.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
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```
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## License
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The usage of this model’s weights is subject to the terms outlined in the [LICENSE](LICENSE).
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library_name: transformers
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---
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# GLM-4-9B-Chat-0414
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## Introduction
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Based on our latest technological advancements, we have trained a `GLM-4-0414` series model. During pretraining, we incorporated more code-related and reasoning-related data. In the alignment phase, we optimized the model specifically for agent capabilities. As a result, the model's performance in agent tasks such as tool use, web search, and coding has been significantly improved.
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## Installation
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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MODEL_PATH = "THUDM/GLM-4-9B-Chat-0414"
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tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH)
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model = AutoModelForCausalLM.from_pretrained(MODEL_PATH, device_map="auto")
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}
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out = model.generate(**generate_kwargs)
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print(tokenizer.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
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```
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