speculative-decoding

LLM speculative inference server for consumer & heterogeneous hardware

Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).

⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡

Large-scale LLM inference engine

Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.

3x faster speeds on MLX | Qwen 3.6 27B | Native MTP Speculative Decoding On Apple Silicon With No External Drafter.

A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models

Pure Rust Inference Engine

From teacher to tiles — a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous batching, speculative decoding, a Rust gateway, a JAX oracle, and interpretability tooling.

Fully uncensored, capability-enhanced abliteration of Qwen3.6-27B. NVFP4 + z-lab DFlash speculative decoding (n=12) on the unified ghcr.io/aeon-7/aeon-vllm-ultimate:latest container, tuned for long-context draft acceptance on DGX Spark. 6 HF variants (BF16/NVFP4/MTP/MTP-XS), docker-compose, and QuickStart.

Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024

scalable and robust tree-based speculative decoding algorithm

llama.cpp fork with TurboQuant WHT-rotated KV cache & weight compression + Gemma 4 MTP and Qwen 3.6 NextN speculative decoding (+30-50% throughput).

memra is a Rust + CUDA inference engine built for NVIDIA RTX PRO 6000 Blackwell and RTX 5090. It serves GGUF models over an OpenAI-compatible API, and every default it ships was measured on those two cards — both Blackwell sm_120a, with a separately compile-gated Hopper/H100 (sm_90a) lane alongside.

[COLM 2024] TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding

llama.cpp/ik_llama.cpp launcher: loads big MoE models across mismatched multi-GPU rigs by exact VRAM math.

REST: Retrieval-Based Speculative Decoding, NAACL 2024

A unified, torch-native training framework for MTP and block-parallel speculative decoding.

JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Causal Parallel Tree Drafting

Tree-based speculative decoding for Apple Silicon (MLX). ~10-15% faster than DFlash on code, ~1.5x over autoregressive. First MLX port with custom Metal kernels for hybrid model support.