[QNN ISSUE] QNN 16a8w Quantization Method for the Llama-3.2 Model.
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Description
Dear @shewu-quic
We are continuously performing QNN quantization on the Llama-3.2-1B & 3B-Instruct models and testing them on the device.
We have confirmed that the model works correctly with qnn_16a16w, but we are not getting accurate results with qnn_8a8w.
Therefore, we believe that 16a8w might be a reasonable compromise.
Are you testing 16a8w internally? Or could we create a 16a8w config directly at the Python module stage?
Thank you
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Research direction
Start by reviewing the Python-module quantization configuration for the Llama-3.2-1B and 3B-Instruct models and reproduce the qnn_8a8w results on the device. Determine whether qnn_16a8w is supported or can be configured at that stage; done means answering that capability question with a tested configuration or a clear limitation.
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Assessment
- Tech stack
- python
- Domain
- embedded-iot, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100