aju22 / LLaMA2Links
This repository contains an implementation of the LLaMA 2 (Large Language Model Meta AI) model, a Generative Pretrained Transformer (GPT) variant. The implementation focuses on the model architecture and the inference process. The code is restructured and heavily commented to facilitate easy understanding of the key parts of the architecture.
☆74Updated 2 years ago
Alternatives and similar repositories for LLaMA2
Users that are interested in LLaMA2 are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of QA-LoRA☆145Updated last year
- An extension of the nanoGPT repository for training small MOE models.☆224Updated 10 months ago
- A family of compressed models obtained via pruning and knowledge distillation☆362Updated 2 months ago
- Implementation of Speculative Sampling as described in "Accelerating Large Language Model Decoding with Speculative Sampling" by Deepmind☆107Updated last year
- Training code for Baby-Llama, our submission to the strict-small track of the BabyLM challenge.☆85Updated 2 years ago
- ☆235Updated last year
- Explorations into some recent techniques surrounding speculative decoding☆295Updated last year
- Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)☆247Updated 9 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆176Updated last year
- Simple implementation of Speculative Sampling in NumPy for GPT-2.☆99Updated 2 years ago
- ☆127Updated last year
- Code for studying the super weight in LLM☆121Updated last year
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆390Updated last year
- Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)☆205Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆454Updated 11 months ago
- ☆225Updated last month
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆351Updated 8 months ago
- LLaMA 2 implemented from scratch in PyTorch☆366Updated 2 years ago
- Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper☆151Updated last year
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (EMNLP'24)☆147Updated last year
- ☆204Updated last year
- Low-bit optimizers for PyTorch☆137Updated 2 years ago
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆277Updated last month
- The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".☆186Updated last month
- LoRA and DoRA from Scratch Implementations☆215Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆447Updated last year
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆163Updated 8 months ago
- Easy and Efficient Quantization for Transformers☆202Updated 6 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆259Updated last year
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆201Updated last year