michaelfeil / michaelfeil/infinity
Support user-defined instructions
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2.9k
- Forks
- 206
- PR merge metrics
- No merged PRs in 30d
Description
Feature request
The latest Qwen3 embedding and rerank models suggest use of user-defined instructions for better performance, do we have plan to add support for this? Thanks.
Motivation
Better performance.
Your contribution
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
Start by reading the linked Qwen3 embedding reference, then trace how Infinity serves embedding and reranking models. The issue names no source files, entry points, or tests, so the required API and implementation scope need to be established first. Done should mean user-defined instructions are supported for the relevant Qwen3 models and covered by validation or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100