microsoft / LongRoPE
LongRoPE is a novel method that can extends the context window of pre-trained LLMs to an impressive 2048k tokens.
☆209Updated 7 months ago
Alternatives and similar repositories for LongRoPE:
Users that are interested in LongRoPE are comparing it to the libraries listed below
- Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper☆128Updated 8 months ago
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆393Updated 5 months ago
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆150Updated 3 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆196Updated 8 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆154Updated 9 months ago
- Benchmarking LLMs with Challenging Tasks from Real Users☆218Updated 4 months ago
- Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…☆307Updated 3 months ago
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆277Updated 3 weeks ago
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆206Updated 10 months ago
- ☆173Updated 3 months ago
- This is the official repository for Inheritune.☆109Updated last month
- The official evaluation suite and dynamic data release for MixEval.☆233Updated 4 months ago
- Reproducible, flexible LLM evaluations☆176Updated 3 months ago
- [ICML 2024] CLLMs: Consistency Large Language Models☆386Updated 4 months ago
- Implementation of Speculative Sampling as described in "Accelerating Large Language Model Decoding with Speculative Sampling" by Deepmind☆91Updated last year
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆405Updated 11 months ago
- 🌾 OAT: A research-friendly framework for LLM online alignment, including preference learning, reinforcement learning, etc.☆224Updated 2 weeks ago
- The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Mem…☆344Updated 11 months ago
- ☆312Updated 6 months ago
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks☆140Updated 6 months ago
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"☆166Updated 2 weeks ago
- X-LoRA: Mixture of LoRA Experts☆214Updated 7 months ago
- The code and data for "MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark" [NeurIPS 2024]☆205Updated 3 weeks ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆110Updated 3 months ago
- A project to improve skills of large language models☆256Updated this week
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆201Updated last week