sgl-project / sgl-project/SpecForge
[Feature] DSpark support
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- Dominant language
- Python
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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/sgl-project/SpecForge/discussions/new/choose Otherwise, it will be closed.
- 2. Please use English, otherwise it will be closed.
Motivation
Hi! Are there any plans to add support for DSpark to the SpecForge framework? If so, is there an estimated timeline for when it might be available?
DSpark described in the paper: https://github.com/deepseek-ai/DeepSpec/blob/main/DSpark_paper.pdf.
Related resources
No response
Contributor guide
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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; begin by reviewing SpecForge's existing integrations alongside the linked DSpark paper. Define the required support and acceptance criteria before estimating implementation 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
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100