Swipe4057

Swipe4057's Stars

• mit-han-lab/duo-attention

  DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads

  Language:Python34814

• continuedev/prompt-file-examples

  Sample .prompt files to use with Continue

  554

• Helixform/CodeCursor

  An extension for using Cursor in Visual Studio Code.

  Language:TypeScript1.6k70

• unifiedjs/unified

  ☔️ interface for parsing, inspecting, transforming, and serializing content through syntax trees

  Language:JavaScript4.5k110

• Tencent/Tencent-Hunyuan-Large

  Language:Python95745

• simonmalberg/felix

  Language:Jupyter Notebook71

• aws-samples/generate-your-presentation-with-llm

  Language:Python61

• getcursor/cursor

  The AI Code Editor

  25k1.6k

• continuedev/continue

  ⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains

  Language:TypeScript19k1.6k

• TabbyML/tabby

  Self-hosted AI coding assistant

  Language:Rust21.8k990

• thu-ml/SageAttention

  Quantized Attention that achieves speedups of 2.1x and 2.7x compared to FlashAttention2 and xformers, respectively, without lossing end-to-end metrics across various models.

  Language:Python36815

• NVIDIA/RULER

  This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?

  Language:Python69646

• searxng/searxng

  SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.

  Language:Python13.7k1.4k

• felladrin/MiniSearch

  Minimalist web-searching platform with an AI assistant that runs directly from your browser. Uses Web-LLM, Wllama and SearXNG. Demo: https://felladrin-minisearch.hf.space

  Language:TypeScript25828

• datamllab/LongLM

  [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

  Language:Python61062

• andyrdt/refusal_direction

  Code and results accompanying the paper "Refusal in Language Models Is Mediated by a Single Direction".

  Language:Python11824

• THUDM/GLM-4-Voice

  GLM-4-Voice | 端到端中英语音对话模型

  Language:Python2.2k173

• nlp-uoregon/trankit

  Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

  Language:Python734101

• horseee/LLM-Pruner

  [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.

  Language:Python864100

• Babelscape/wikineural

  Data and evaluation code for the paper WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER (EMNLP 2021).

  Language:Python6610

• microsoft/table-transformer

  Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

  Language:Python2.3k255

• IlyaGusev/ping_pong_bench

  Language:Python693

• aryopg/decore

  Official Implementation of "DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucination"

  Language:Jupyter Notebook91

• MERA-Evaluation/MERA

  MERA (Multimodal Evaluation for Russian-language Architectures) is a new open benchmark for the Russian language for evaluating SOTA models.

  Language:Jupyter Notebook111

• tianyi-lab/MoE-Embedding

  Code for "Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free"

  Language:Python345

• fishaudio/fish-speech

  Brand new TTS solution

  Language:Python14.2k1.1k

• andy-yang-1/DoubleSparse

  16-fold memory access reduction with nearly no loss

  Language:Python572

• AniZpZ/smoothquant

  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

  91

• QwenLM/Qwen-Agent

  Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.

  Language:Python3.4k339

• xorbitsai/inference

  Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.

  Language:Python5.3k431