feifeibear / LLMSpeculativeSampling
Fast inference from large lauguage models via speculative decoding
β692Updated 7 months ago
Alternatives and similar repositories for LLMSpeculativeSampling:
Users that are interested in LLMSpeculativeSampling are comparing it to the libraries listed below
- π° Must-read papers and blogs on Speculative Decoding β‘οΈβ654Updated this week
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.β1,057Updated this week
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)β241Updated this week
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.β431Updated 7 months ago
- Ring attention implementation with flash attentionβ714Updated last month
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inferenceβ452Updated this week
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decodingβ1,216Updated 2 weeks ago
- LongBench v2 and LongBench (ACL 2024)β815Updated 2 months ago
- β310Updated 11 months ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline modβ¦β415Updated 6 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruningβ597Updated last year
- Explorations into some recent techniques surrounding speculative decodingβ248Updated 3 months ago
- π° Must-read papers on KV Cache Compression (constantly updating π€).β346Updated last week
- Disaggregated serving system for Large Language Models (LLMs).β507Updated 7 months ago
- β·οΈ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)β936Updated 3 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Seβ¦β611Updated 2 weeks ago
- Best practice for training LLaMA models in Megatron-LMβ645Updated last year
- REST: Retrieval-Based Speculative Decoding, NAACL 2024β198Updated 3 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"β278Updated 2 weeks ago
- [EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a Vβ¦β434Updated last week
- [NeurIPS'24 Spotlight, ICLR'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which rβ¦β944Updated 3 weeks ago
- Codes for the paper "βBench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718β313Updated 5 months ago
- A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarksβ260Updated 7 months ago
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichβ¦β979Updated 5 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantizationβ336Updated 7 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.β771Updated 6 months ago
- Microsoft Automatic Mixed Precision Libraryβ581Updated 5 months ago
- β555Updated 2 weeks ago
- FlagScale is a large model toolkit based on open-sourced projects.β253Updated this week
- Super-Efficient RLHF Training of LLMs with Parameter Reallocationβ241Updated 2 months ago