OptimalScale / OptimalScale/LMFlow
Issue on default temperature settings
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- Dominant language
- Python
- Stars
- 8.5k
- Forks
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Description
Hi, I am using LMFlow to invoke the model codellama/CodeLlama-7b-Instruct-hf. However, I found that the output was very repetitive. It seems that the default temperature setting is current set to 0. It would be better to add an option to support users specifying specific temperatures.
Contributor guide
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.
Research direction
Start by tracing LMFlow's inference path for codellama/CodeLlama-7b-Instruct-hf and find where the default temperature is set to 0. Check how generation options are passed, then verify that users can specify a temperature and that the selected value reaches model inference.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100