NVIDIA / NVIDIA/SkillSpector

models glm-5.2, glm-5.1, kimi-k2.7-code, deepseek-v4-flash fail

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Dominant language
Python
Stars
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Forks
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Avg merge
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Merged PRs (30d)
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Description

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the linked GitHub Actions logs for the failing model runs and locate the scripts or tests they execute. Reproduce the failures for GLM, Kimi, DeepSeek, and the MIMO deadlock; done means the relevant model checks complete reliably or the supported open-source testing models are documented.

Written by the indexing model from the issue text.

Assessment

Tech stack
github-actions, python
Domain
ai, ci-cd, testing-qa
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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