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  1. Home
  2. /Repositories
  3. /lightseekorg/TorchSpec
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

lightseekorg/TorchSpec

A PyTorch native library for training speculative decoding models

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 66%Speculative decoding with draft models →
  • PossiblePossibly related (embedding) · 61%BlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative Decoding →
  • PossiblePossibly related (embedding) · 59%DSpark: Speculative decoding accelerates LLM inference [pdf] →
  • PossiblePossibly related (embedding) · 59%[Research] JetSpec: Speculative Decoding with Parallel Tree Drafting Enables up to 9.64x Lossless LLM Inference Speedup with more than 1000TPS →
  • PossiblePossibly related (embedding) · 53%Spec-AUF: Accept-Until-Fail Training under Train-Inference Misalignment for Masked Block Drafters →
  • PossiblePossibly related (embedding) · 59%DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation →
  • PossiblePossibly related (embedding) · 57%DominoTree: Conditional Tree-Structured Drafting with Domino for Speculative Decoding →
  • PossiblePossibly related (embedding) · 67%A Practical Investigation of Training-free Relaxed Speculative Decoding →

Implements

paperSpeculative decoding with draft modelspaperBlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative DecodingpaperSpec-AUF: Accept-Until-Fail Training under Train-Inference Misalignment for Masked Block Drafters

Covers

newsDSpark: Speculative decoding accelerates LLM inference [pdf]news[Research] JetSpec: Speculative Decoding with Parallel Tree Drafting Enables up to 9.64x Lossless LLM Inference Speedup with more than 1000TPS

Implements (incoming)

paperDSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive GenerationpaperDominoTree: Conditional Tree-Structured Drafting with Domino for Speculative DecodingpaperA Practical Investigation of Training-free Relaxed Speculative DecodingpaperLess Experts, Faster Decoding: Cost-Aware Speculative Decoding for Mixture-of-Experts

Covers (incoming)

newsGPT-2 Fully Decoded Internally Black Box Fully Open With DemonewsFastest speculative decoding for qwennewsmodel: add Hy3 (hy_v3) support with MTP speculative decoding by satindergrewal · Pull Request #25395 · ggml-org/llama.cpp

Related across the graph

newsmodel: add Hy3 (hy_v3) support with MTP speculative decoding by satindergrewal · Pull Request #25395 · ggml-org/llama.cpppaperBlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative DecodingpaperDominoTree: Conditional Tree-Structured Drafting with Domino for Speculative DecodingnewsGPT-2 Fully Decoded Internally Black Box Fully Open With Demonews[Research] JetSpec: Speculative Decoding with Parallel Tree Drafting Enables up to 9.64x Lossless LLM Inference Speedup with more than 1000TPSpaperDSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive GenerationnewsDSpark: Speculative decoding accelerates LLM inference [pdf]newsFastest speculative decoding for qwenpaperSpec-AUF: Accept-Until-Fail Training under Train-Inference Misalignment for Masked Block DrafterspaperA Practical Investigation of Training-free Relaxed Speculative DecodingpaperSpeculative decoding with draft modelspaperLess Experts, Faster Decoding: Cost-Aware Speculative Decoding for Mixture-of-Experts
Knowledge path·Nmodel: add Hy3 (hy_v3) support with MTP speculative decoding by satindergrewal · Pull Request #25395 · ggml-org/llama.cpp→PBlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative Decoding→PDominoTree: Conditional Tree-Structured Drafting with Domino for Speculative Decoding→Rlightseekorg/TorchSpec

Topics

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