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AetherCortex avatar

AetherCortex/Llama-X

0
View on GitHub↗
1,605 stars·103 forks·Python·Apache-2.0·8 views

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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Open-source alternatives to Llama X

Similar open-source projects, ranked by how many features they share with Llama X.
  • artidoro/qloraartidoro avatar

    artidoro/qlora

    10,929View on GitHub↗

    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
    View on GitHub↗10,929
  • chenking2020/findthechatgpterchenking2020 avatar

    chenking2020/FindTheChatGPTer

    2,014View on GitHub↗

    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
    View on GitHub↗2,014
  • alexrozanski/llamachatalexrozanski avatar

    alexrozanski/LlamaChat

    1,510View on GitHub↗

    Chat with your favourite LLaMA models in a native macOS app

    Swiftaillamallamacpp
    View on GitHub↗1,510
  • facico/chinese-vicunaFacico avatar

    Facico/Chinese-Vicuna

    4,121View on GitHub↗

    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

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See all 30 alternatives to Llama X→

Frequently asked questions

What does aethercortex/llama-x do?

Open Academic Research on Improving LLaMA to SOTA LLM

What are the main features of aethercortex/llama-x?

The main features of aethercortex/llama-x are: LLM Training and Optimization, Natural Language Processing.

What are some open-source alternatives to aethercortex/llama-x?

Open-source alternatives to aethercortex/llama-x include: 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…