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README.md
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| Llama3.2-3B + **RAG-Instruct** | 65.3 | 64.0 | 77.0 | 81.2 | 66.4 | 73.0 | 72.9 | 52.7 | 25.0 | 50.3 | 72.6 |
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# <span>Usage</span>
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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| Llama3.2-3B + **RAG-Instruct** | 65.3 | 64.0 | 77.0 | 81.2 | 66.4 | 73.0 | 72.9 | 52.7 | 25.0 | 50.3 | 72.6 |
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# <span>Usage</span>
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You can deploy it with tools like [vllm](https://github.com/vllm-project/vllm) or [Sglang](https://github.com/sgl-project/sglang), or perform direct inference:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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