open-compass / open-compass/VLMEvalKit
Reproducibility of deepseek-vl inference results
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Description
Hello, I am using the deepseek-vl model "deepseek-ai/deepseek-vl-7b-chat" and have observed significant variability in its outputs: different runs produce different results. I have already tried setting do_sample=False and temperature=0, but the outputs remain non-deterministic. Could you advise what settings or steps are required to obtain reproducible responses?
Thank you very much.
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Research direction
No files, tests, or entry points are identified in the report. Start by reproducing inference with deepseek-ai/deepseek-vl-7b-chat while checking the current generation settings and the attempted do_sample=False and temperature=0 configuration. Done means identifying documented settings or steps that produce reproducible responses.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100