1.0 Architecture
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Nobody has claimed this yet.
roadmap
SW Architecture
- Dominant language
- Python
- Stars
- 14.7k
- Forks
- 2.8k
- Avg merge
- 2d 23h
- Merged PRs (30d)
- 489
Description
- [Ongoing] Logits post-processor
- [Ongoing] LoRA
- Multi-modality model enablement
- Sampling logics completeness
- Beam search
- Penalty
- Stop words
- Context Parallelism
- Speculative decoding
- [Ongoing] Eagle-3
- Prompt look-up
- Dynamic use of speculation based on load
- Feature parity with TensorRT-based architecture: pls refer here to learn details as to achieve feature parity of the 1.0 architecture.
- Post-training workflow integration
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
No files, tests, or entry points are named. Start by locating the 1.0 architecture tracking material and the referenced TensorRT-based feature-parity details, then identify an independently scoped workstream from the list; done would require implementing and validating that workstream against the project's architecture goals.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100