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Accelerate LLM inference by running speculative decoding in parallel, improving speed without sacrificing exactness or output quality.

What's novel

Accelerate LLM inference by running speculative decoding in parallel, improving speed without sacrificing exactness or output quality.

Score Breakdown

Innovation
4 (25%)
Craft
39 (35%)
Traction
11 (15%)
Scope
61 (25%)

Signal breakdown

Innovation

Not Fork+1
Code Novelty+0
Unique Niche+1
Concept Novelty+2

Craft

Ci-3
Tests-5
Polish+0
Releases-2
Has License+5
Code Quality+12
Readme Quality+15
Recent Activity+7
Structure Quality+5
Commit Consistency+0
Has Dependency Mgmt+5

Traction

Forks+0
Stars+6
Hn Points+0
Watchers+3
Early Traction+0
Devto Reactions+0
Community Contribs+2

Scope

Commits+5
Languages+3
Subsystems+10
Bloat Penalty+0
Completeness+7
Contributors+6
Authored Files+12
Readme Code Match+3
Architecture Depth+7
Implementation Depth+8

Evidence

Commits

16

Contributors

2

Files

54

Active weeks

1

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

1

Forks

0

License

MIT