kvcache-ai / ktransformers
A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations
☆737Updated last week
Related projects ⓘ
Alternatives and complementary repositories for ktransformers
- A throughput-oriented high-performance serving framework for LLMs☆636Updated 2 months ago
- [NeurIPS'24 Spotlight] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces in…☆791Updated this week
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆523Updated this week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆624Updated 2 months ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆685Updated this week
- Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)☆826Updated this week
- FlashInfer: Kernel Library for LLM Serving☆1,452Updated this week
- scalable and robust tree-based speculative decoding algorithm☆315Updated 3 months ago
- Serving multiple LoRA finetuned LLM as one☆984Updated 6 months ago
- A high-performance inference system for large language models, designed for production environments.☆392Updated last week
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆443Updated last week
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆731Updated last month
- Official implementation of Half-Quadratic Quantization (HQQ)☆701Updated last week
- This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?☆723Updated 3 weeks ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆1,765Updated this week
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆647Updated last month
- Serverless LLM Serving for Everyone.☆352Updated this week
- Comparison of Language Model Inference Engines☆190Updated 2 months ago
- Large-scale LLM inference engine☆1,134Updated this week
- DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models☆1,008Updated 10 months ago
- DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆373Updated 2 weeks ago
- For releasing code related to compression methods for transformers, accompanying our publications☆372Updated last month
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,149Updated last month
- Inferflow is an efficient and highly configurable inference engine for large language models (LLMs).☆236Updated 8 months ago
- ☆505Updated 3 weeks ago
- LLMPerf is a library for validating and benchmarking LLMs☆645Updated 3 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆305Updated 3 months ago
- LLM Inference benchmark☆350Updated 3 months ago
- OLMoE: Open Mixture-of-Experts Language Models☆460Updated this week
- The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Mem…☆305Updated 7 months ago