redhat-et / redhat-et/code-agent
[Discussion] Open Source Model Selection
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
I wanted to start a discussion as well as start to keep a record of what open weight models we want to target for this project.
My initial proposals are:
- microsoft/Phi-4-mini-instruct
Very small 3.8B model that has been instruction tuned, but not much if any code specific fine tuning. - mistralai/Devstral-Small-2-24B-Instruct-2512
Mid sized model that has been explicitly fined tuned for software engineering tasks
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.
Research direction
Review the proposed Phi-4-mini-instruct and Devstral-Small-2-24B-Instruct-2512 model links and the discussion in this issue. There are no files, tests, or implementation entry points named; the discussion would need to establish selection criteria and a concrete target before code work can begin.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100