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Publish step26000-100Btokens

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@@ -49,8 +49,8 @@ This official repository unveils the TransNormerLLM3 model along with its open-s
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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- tokenizer = AutoTokenizer.from_pretrained("OpenNLPLab/TransNormerLLM3-15B-Intermediate-Checkpoints", revision='step13000-50Btokens', trust_remote_code=True)
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- model = AutoModelForCausalLM.from_pretrained("OpenNLPLab/TransNormerLLM3-15B-Intermediate-Checkpoints", torch_dtype=torch.bfloat16,revision='step13000-50Btokens', device_map="auto", trust_remote_code=True)
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  ```
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  # Benchmark Results
 
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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+ tokenizer = AutoTokenizer.from_pretrained("OpenNLPLab/TransNormerLLM3-15B-Intermediate-Checkpoints", revision='step26000-100Btokens', trust_remote_code=True)
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+ model = AutoModelForCausalLM.from_pretrained("OpenNLPLab/TransNormerLLM3-15B-Intermediate-Checkpoints", torch_dtype=torch.bfloat16, revision='step26000-100Btokens', device_map="auto", trust_remote_code=True)
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  ```
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  # Benchmark Results