Code Llama is a large language model based on Llama 2 trained specifically for programming tasks and software development. It provides specialized model types optimized for general code generation, instruction following, and context-aware infilling. The project includes an instruction-tuned programming model for executing technical tasks via natural language prompts and a code infilling model that predicts missing sections based on surrounding source context. A large context code model is also provided to analyze extensive blocks of source code for improved coherence. The system covers capab
Code and data associated with the AmbiEnt dataset in "We're Afraid Language Models Aren't Modeling Ambiguity" (Liu et al., 2023)
MultimodalC4 is a multimodal extension of c4 that interleaves millions of images with text.
Llama中文社区 最好的Llama大模型开源社区
Las características principales de llamafamily/llama-chinese son: Large Language Models, Llama Model Ecosystem, Project Documentation, Reference Materials.
Las alternativas de código abierto para llamafamily/llama-chinese incluyen: facebookresearch/codellama — Code Llama is a large language model based on Llama 2 trained specifically for programming tasks and software… alisawuffles/ambient — Code and data associated with the AmbiEnt dataset in "We're Afraid Language Models Aren't Modeling Ambiguity" (Liu et… allenai/mmc4 — MultimodalC4 is a multimodal extension of c4 that interleaves millions of images with text. antimatter15/alpaca.cpp — alpaca.cpp is a high-performance local inference engine implemented in C++ for executing instruction-tuned large… artidoro/qlora — This project is a quantized fine-tuning framework for large language models. It implements a low-rank adaptation… airobotlab/kochatgpt.