Adaxry

Adaxry's Stars

• ollama/ollama

  Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

  Language:Go99.5k5925k7.9k

• lm-sys/FastChat

  An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

  Language:Python37.1k3531.8k4.6k

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python35.6k3452.8k4.1k

• LC044/WeChatMsg

  提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手

  Language:Python34.8k1744153.6k

• immersive-translate/immersive-translate

  沉浸式双语网页翻译扩展 , 支持输入框翻译， 鼠标悬停翻译， PDF, Epub, 字幕文件, TXT 文件翻译 - Immersive Dual Web Page Translation Extension

  14.3k781.8k789

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.3k985531.1k

• NVIDIA/Megatron-LM

  Ongoing research training transformer models at scale

  Language:Python10.7k1627852.4k

• google/sentencepiece

  Unsupervised text tokenizer for Neural Network-based text generation.

  Language:C++10.3k1277541.2k

• QwenLM/Qwen2.5

  Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

  Language:Shell10k60871618

• nlpxucan/WizardLM

  LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

  Language:Python9.3k113190718

• NVIDIA/TensorRT-LLM

  TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

  Language:C++8.8k942k1k

• jzhang38/TinyLlama

  The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

  Language:Python8k110158468

• OpenBMB/MiniCPM

  MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

  Language:Jupyter Notebook7.1k76216454

• mit-han-lab/streaming-llm

  [ICLR 2024] Efficient Streaming Language Models with Attention Sinks

  Language:Python6.7k6583368

• togethercomputer/RedPajama-Data

  The RedPajama-Data repository contains code for preparing large datasets for training large language models.

  Language:Python4.6k7990350

• albertan017/LLM4Decompile

  Reverse Engineering: Decompiling Binary Code with Large Language Models

  Language:Python3.2k3832236

• LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words

  List of Dirty, Naughty, Obscene, and Otherwise Bad Words

  2.9k7438666

• microsoft/Megatron-DeepSpeed

  Ongoing research training transformer language models at scale, including: BERT & GPT-2

  Language:Python1.9k24182346

• sahil280114/codealpaca

  Language:Python1.4k2119107

• SkyworkAI/Skywork

  Skywork series models are pre-trained on 3.2TB of high-quality multilingual (mainly Chinese and English) and code data. We have open-sourced the model, training data, evaluation data, evaluation methods, etc. 天工系列模型在3.2TB高质量多语言和代码数据上进行预训练。我们开源了模型参数，训练数据，评估数据，评估方法。

  Language:Python1.2k2463111

• OpenBMB/InfiniteBench

  Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718

  Language:Python28692223

• hemingkx/Spec-Bench

  Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)

  Language:Python19221519

• huggingface/optimum-habana

  Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)

  Language:Python15439121202

• dilab-zju/self-speculative-decoding

  Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**

  Language:Jupyter Notebook1412219

• artwalker/EasyTranslator

  Your Companion for Multilingual Reading

  Language:Python125115

• DAMO-NLP-MT/PolyLM

  Language:Python76167

• leogao2/lm_dataformat

  Language:Python763431

• raymin0223/fast_robust_early_exit

  Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)

  Language:Python53298

• Adaxry/Unified_Layer_Skipping

  Language:Python9200

• pppa2019/Mango

  Code for "Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective"

  Language:Python2100