kvcache-ai / kvcache-ai/ktransformers
[Feature] Support Dense Model ?
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- Dominant language
- Python
- Stars
- 19.5k
- Forks
- 1.6k
- Avg merge
- 19h 32m
- Merged PRs (30d)
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Description
Checklist
- 1. If the issue you raised is not a feature but a question, please raise a discussion at https://github.com/kvcache-ai/ktransformers/discussions. Otherwise, it will be closed.
- 2. To help the community, I will use Chinese/English or attach an Chinese/English translation if using another language. Non-English/Chinese content without translation may be closed.
Motivation
Is kTransformers support dense model? If not, is it easy to do this?
Related resources
No response
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
The issue identifies no files, tests, or entry points. Start by reviewing the repository's current model-support documentation and architecture to determine the scope of dense-model support; the work is not ready until its behavior and acceptance criteria are defined.
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
- 20/100