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README.md
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@@ -39,9 +39,18 @@ This official repository unveils the TransNormerLLM3 model along with its open-s
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# Released Weights
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| param | token |
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| **15B** | 50B |
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# Benchmark Results
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The evaluations of all models are conducted using the official settings and the [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) framework.
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# Released Weights
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| param | token | Hugging Face | Model Scope | Wisemodel |
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| :-----: | :---: | :------------------------------------------------------------------------------------------------------------------: | :---------: | :-------: |
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| **15B** | 50B | π€[step13000](ttps://huggingface.co/OpenNLPLab/TransNormerLLM3-15B-Intermediate-Checkpoints/tree/step13000-50Btokens) | π€ | π― |
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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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The evaluations of all models are conducted using the official settings and the [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) framework.
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