ByteDance-Seed / ByteDance-Seed/decoupleQ
你好,量化后推理模型出现nan的问题
Open
- Dominant language
- Cuda
- Stars
- 153
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Description
我看了存在issue里也有量化后模型出现nan的问题,但是都是没有解决方案。
请问这个咋么解决啊?
我这边修改了llama.py部分代码适配我这边的一个传统模型,得到后的模型推理会出现nan的情况。
环境:
Cuda/NVCC: 12.2
python: 3.10
cmake: 3.22.1
gpu Driver: 535.161.08
torch:2.1.0
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reviewing the reported changes in llama.py and reproduce the post-quantization inference failure in the listed Python, PyTorch, and CUDA environment. Examine the existing issue discussion and establish a minimal reproduction; the work is done when the NaN cause is identified and inference completes without NaN values.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100