colab t4
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 10/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
The issue names ChenMnZ/Llama-2-70b-EfficientQAT-w2g128 and Google Colab with a T4 GPU, but no repository file, test, command, or failure details. Clarify the expected Colab workflow and the reported question before identifying an entry point or defining what completion means.
Written by the indexing model from the issue text.
Description
it ChenMnZ/Llama-2-70b-EfficientQAT-w2g128
run on colab t4
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- Dominant language
- Python
- Stars
- 351
- Forks
- 38
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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About Dataset Open
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