Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
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Updated
Jul 20, 2026 - Python
Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
Dynamic per-token early exit for LLM inference. Skip layers tokens don't need
Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]
[NeurIPS'25] FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance
The blazing-fast, multimodal AI decision engine. Uses adaptive early-exit computing and attention rollout for sub-15ms explainable zero-shot classification
Official PyTorch implementation of "LGViT: Dynamic Early Exiting for Accelerating Vision Transformer" (ACM MM 2023)
Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"
Think Less, Act Early: Reinforced Latent Reasoning with Early Exit in Vision-Language-Action Models
This repository provides an implementation of Early Exit Neural Network (EENN) and provides a way to profile the processing time of the model.
Deployment-oriented early-exit toolkit for PyTorch vision models, with per-head calibration, fair benchmarks, and staged inference.
Relational Time Engine (RTE): runtime density regulation for compute-efficient transformer inference. Demonstrates up to 75% layer reduction with improved latency and throughput.
VerDee: Vertical Deep Network on Mamba-2 — staged LoRA (shallow/mid/deep), early-exit routing, and domain experts. Pilot on 370M; 16GB GPU friendly. Research/experiment repo.
Token-level early-exit Transformer with Gumbel-Softmax routing and a latency-aware joint loss — skips redundant layers for "easy" tokens while going deep on hard ones.
Early-exit, full-model and static-baseline inference on RubikPi 3, with live-camera, HTP, latency and thermal evidence.
Lev: Thinking Fast and Deep with Looped Decision Models. One checkpoint, multiple depths: System 1.5 decision models that think in loops, not tokens.
Confidence-gated early-exit inference for Llama 3.1 8B, with distillation, calibration, segmented multi-GPU runtime, and evaluation.
Code and reproducibility materials for TopoAudit | IEEE CSCloud 2026 | Manuscript in preparation
Early exit inference framework for HuggingFace LLMs — skip unnecessary transformer layers when the model is already confident. Supports LLaMA, Mistral, Phi, Gemma, Qwen, Pythia and more.
LLM early exit whose error guarantee survives distribution shift: online conformal threshold fed by random self-audits (Qwen3-8B, tuned lens + free gate)
Operating-regime study of thermal-aware anytime (early-exit) inference on a Raspberry Pi 5: when early-exit selection controls temperature, and when it does not.
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