jquesnelle / yarn
YaRN: Efficient Context Window Extension of Large Language Models
☆1,353Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for yarn
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆613Updated 5 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,149Updated last month
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆675Updated 7 months ago
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆886Updated 3 weeks ago
- ☆1,271Updated this week
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,391Updated 8 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,755Updated 10 months ago
- Code for fine-tuning Platypus fam LLMs using LoRA☆623Updated 9 months ago
- Codebase for Merging Language Models (ICML 2024)☆774Updated 6 months ago
- Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI☆1,336Updated 7 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆647Updated last month
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,045Updated 10 months ago
- Inference code for Persimmon-8B☆416Updated last year
- Serving multiple LoRA finetuned LLM as one☆984Updated 6 months ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆594Updated 3 months ago
- DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models☆1,008Updated 10 months ago
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,216Updated last year
- LOMO: LOw-Memory Optimization☆979Updated 4 months ago
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆558Updated 8 months ago
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆1,565Updated 3 months ago
- Customizable implementation of the self-instruct paper.☆1,024Updated 8 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆744Updated this week
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆782Updated 4 months ago
- A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)☆1,080Updated 10 months ago
- Finetuning Large Language Models on One Consumer GPU in 2 Bits☆707Updated 5 months ago
- Generative Representational Instruction Tuning☆567Updated this week
- Minimalistic large language model 3D-parallelism training☆1,260Updated this week
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,312Updated 4 months ago
- LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions☆812Updated last year