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# 介绍
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`SHA256 5b2d8a0ad40adbd4c02c299f2a46393a65d8e82a85ce2ec06bca6df72301ab8b Qwen2.5-7B-Instruct-1M_W8A8_RK3588.rkllm`
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## 模型
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来源:https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
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## 处理步骤
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```bash
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# 初始化环境
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cd ~/autodl-tmp
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git clone https://github.com/airockchip/rknn-llm.git
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conda init
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conda create -n rkllm python=3.10
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conda activate rkllm
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cd rknn-llm
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pip install rkllm-toolkit/rkllm_toolkit-1.1.4-cp310-cp310-linux_x86_64.whl
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# 处理
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cd examples/DeepSeek-R1-Distill-Qwen-1.5B_Demo/export
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# /root/autodl-tmp/models/Qwen2.5-7B-Instruct-1M
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python generate_data_quant.py -m ~/models/Qwen2.5-7B-Instruct-1M
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# modify `modelpath` in `export_rkllm.py`
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python export_rkllm.py
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```
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## 条件限制
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+ RK3588
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+ NPU 内核数量: 3
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---
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# Introduction
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`SHA256 5b2d8a0ad40adbd4c02c299f2a46393a65d8e82a85ce2ec06bca6df72301ab8b Qwen2.5-7B-Instruct-1M_W8A8_RK3588.rkllm`
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## Model
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Source: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
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## Processing Steps
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```bash
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# Initialize RKLLM export environment
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cd ~/autodl-tmp
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git clone https://github.com/airockchip/rknn-llm.git
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conda init
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conda create -n rkllm python=3.10
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conda activate rkllm
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cd rknn-llm
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pip install rkllm-toolkit/rkllm_toolkit-1.1.4-cp310-cp310-linux_x86_64.whl
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# Processing
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cd examples/DeepSeek-R1-Distill-Qwen-1.5B_Demo/export
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# /root/autodl-tmp/models/Qwen2.5-7B-Instruct-1M
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python generate_data_quant.py -m ~/models/Qwen2.5-7B-Instruct-1M
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# Modify `modelpath` in `export_rkllm.py`
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python export_rkllm.py
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```
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## Requirements & Limitations
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+ RK3588
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+ NPU core count: 3
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