google / gemma.cpp
lightweight, standalone C++ inference engine for Google's Gemma models.
☆5,911Updated this week
Related projects: ⓘ
- The official PyTorch implementation of Google's Gemma models☆5,239Updated last month
- Open weights LLM from Google DeepMind.☆2,395Updated last month
- CoreNet: A library for training deep neural networks☆6,918Updated 3 months ago
- High-speed Large Language Model Serving on PCs with Consumer-grade GPUs☆7,877Updated last week
- Examples in the MLX framework☆5,836Updated this week
- Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.☆5,506Updated this week
- Modeling, training, eval, and inference code for OLMo☆4,399Updated this week
- Run PyTorch LLMs locally on servers, desktop and mobile☆3,100Updated this week
- Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.☆9,031Updated 2 months ago
- 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.☆9,780Updated this week
- Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datase…☆11,582Updated last week
- A Native-PyTorch Library for LLM Fine-tuning☆3,942Updated this week
- Go ahead and axolotl questions☆7,554Updated this week
- Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚☆6,777Updated this week
- tiny vision language model☆4,893Updated 3 weeks ago
- Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory☆15,611Updated this week
- Tensor library for machine learning☆10,846Updated last week
- Inference Llama 2 in one file of pure C☆17,153Updated last month
- MLX: An array framework for Apple silicon☆16,445Updated this week
- TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain…☆8,186Updated last week
- llama3 implementation one matrix multiplication at a time☆13,085Updated 3 months ago
- ☆7,075Updated last month
- PyTorch code and models for V-JEPA self-supervised learning from video.☆2,614Updated last month
- [ICLR 2024] Efficient Streaming Language Models with Attention Sinks☆6,537Updated 2 months ago
- DeepSeek Coder: Let the Code Write Itself☆6,530Updated 3 months ago
- A series of large language models trained from scratch by developers @01-ai☆7,598Updated last week
- Blazingly fast LLM inference.☆3,406Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆26,822Updated this week
- Run Mixtral-8x7B models in Colab or consumer desktops☆2,288Updated 5 months ago
- ☆4,006Updated 3 months ago