[feature] Implementing ChunkFlow for really long sequence
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Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 8.5k
- Forks
- 1.3k
- Avg merge
- 5h 36m
- Merged PRs (30d)
- 22
Description
chunkflow (https://arxiv.org/abs/2503.02356) could be a really good help for long sequence RL as it allows for almost infinite sequence length with kv cache offload without adding GPUs. For some context, please refer to https://zhuanlan.zhihu.com/p/1969847127564871140
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 names no files, tests, or entry points. Start by reading the linked ChunkFlow paper and the referenced context, then locate how slime handles long-sequence RL and KV-cache offload. Done should mean ChunkFlow is integrated for the described long-sequence use case, with project validation covering the behavior.
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
- 25/100