deepspeedai / deepspeedai/DeepSpeed
[REQUEST] How to use int8 quantization inference without training?
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Description
Hi, I read the docs about zero_quant, but it seems to require extra training.
And in deepspeed.init_inference, the dtype can be set to int8, but the code does nothing for int8. https://github.com/microsoft/DeepSpeed/blob/master/deepspeed/inference/engine.py#L521
Is is possible to quantize an exisiting llm model directly and inference?
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Research direction
Start by reading the zero_quant documentation and deepspeed/inference/engine.py around line 521 to understand the existing quantization and dtype paths. Determine whether direct int8 quantization of an existing model is supported, and document or implement a defined inference path with validation that the converted model runs without extra training.
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Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100