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LLM Qwen Project based on MaixCDK
Run LLM Qwen eample.
build method please visit MaixCDK.
| Platform | Support |
|---|---|
| MaixCAM2 | ✅ |
| MaixCAM | ❌ |
Attention: Run LLM will cost a lot of memory, please make sure you have enough memory to run it. For example, on MaixCAM2, Qwen2.5-1.5B need 2GB memory, Qwen2.5-0.5B need 1GB memory. we can use python scripts to check memory info:
from maix import sys
print(sys.memory_info())
Then output like this:
{'cma_total': 0, 'cma_used': 0, 'cmm_total': 2147483648, 'cmm_used': 177512448, 'hw_total': 4294967296, 'total': 2060726272, 'used': 338223104}
NPU use cmm_total memory, in MaixCAM2 also called CMM memory, not use total memory, so you should ensure cmm_total is enough to run LLM model.
Here we can see cmm_total is 2GB, so we can run Qwen2.5-1.5B model.
More memory intro please visit [MaixPy document)(https://wiki.sipeed.com/maixpy/en/pro/memory.html).