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AetherCortex/Llama-X

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1,605 星标·103 分支·Python·Apache-2.0·2 次浏览

Llama X

Open Academic Research on Improving LLaMA to SOTA LLM

Features

  • LLM Training and Optimization - Community-driven project to improve LLaMA performance.
  • Natural Language Processing - Listed in the “Natural Language Processing” section of the FunNLP awesome list.

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Llama X 的开源替代方案

相似的开源项目,按与 Llama X 的功能重合度排序。
  • artidoro/qloraartidoro 的头像

    artidoro/qlora

    10,929在 GitHub 上查看↗

    This project is a quantized fine-tuning framework for large language models. It implements a low-rank adaptation library and a four-bit quantizer to reduce the GPU memory requirements needed to train large models. The framework utilizes four-bit quantization and low-rank adapters to enable model training on consumer-grade hardware. It further reduces the memory footprint through double quantization and a paged optimizer that offloads states to system RAM. The system supports distributed training across multiple GPUs to handle larger parameter scales and includes utilities for custom dataset

    Jupyter Notebook
    在 GitHub 上查看↗10,929
  • chenking2020/findthechatgpterchenking2020 的头像

    chenking2020/FindTheChatGPTer

    2,014在 GitHub 上查看↗

    ChatGPT爆火,开启了通往AGI的关键一步,本项目旨在汇总那些ChatGPT的开源平替们,包括文本大模型、多模态大模型等,为大家提供一些便利

    agialpacaautogpt
    在 GitHub 上查看↗2,014
  • alexrozanski/llamachatalexrozanski 的头像

    alexrozanski/LlamaChat

    1,510在 GitHub 上查看↗

    Chat with your favourite LLaMA models in a native macOS app

    Swiftaillamallamacpp
    在 GitHub 上查看↗1,510
  • facico/chinese-vicunaFacico 的头像

    Facico/Chinese-Vicuna

    4,121在 GitHub 上查看↗

    Chinese-Vicuna is a Chinese large language model and instruction-following AI based on the LLaMA architecture. It is specifically designed for natural language understanding and generation in the Chinese language, utilizing an instruction-tuned model to follow complex user prompts across conversations. The project provides a LoRA fine-tuning framework and quantization systems to enable model adaptation and inference on consumer hardware. It implements quantized inference to reduce memory usage on both CPUs and GPUs, supported by a low-level C++ implementation to minimize system resource requi

    Calpacachinesellama
    在 GitHub 上查看↗4,121
查看 Llama X 的所有 30 个替代方案→

常见问题解答

aethercortex/llama-x 是做什么的?

Open Academic Research on Improving LLaMA to SOTA LLM

aethercortex/llama-x 的主要功能有哪些?

aethercortex/llama-x 的主要功能包括:LLM Training and Optimization, Natural Language Processing。

aethercortex/llama-x 有哪些开源替代品?

aethercortex/llama-x 的开源替代品包括: chenking2020/findthechatgpter — ChatGPT爆火,开启了通往AGI的关键一步,本项目旨在汇总那些ChatGPT的开源平替们,包括文本大模型、多模态大模型等,为大家提供一些便利. jayzhang42/federatedgpt-shepherd — Shepherd: A foundational framework enabling federated instruction tuning for large language models. alexrozanski/llamachat — Chat with your favourite LLaMA models in a native macOS app. artidoro/qlora — This project is a quantized fine-tuning framework for large language models. It implements a low-rank adaptation… facico/chinese-vicuna — Chinese-Vicuna is a Chinese large language model and instruction-following AI based on the LLaMA architecture. It is… nomic-ai/gpt4all — GPT4All is a cross-platform runtime environment designed to execute large language models directly on local consumer…