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InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
A 13B large language model developed by Baichuan Intelligent Technology
Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention
OpenAI管理界面,聚合了OpenAI的所有接口进行界面操作(所有模型、图片、音频、微调、文件)等,支持Markdown格式(公式、图表,表格)等,后期会一点一点的将OpenAI接口进行接入大家支持一下,右上角点个Star。
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
No description.
Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.
Modular AI HAL (Hardware Abstraction Layer) for Robots
Beautiful git diff viewer, generate commits with AI, get summary of changes, all from the CLI
LLMs-from-scratch项目中文翻译
AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓,同时包含工作和科研过程中的新想法、新问题、新资源与新项目
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OpenLIT is the open-source agent harness engineering platform: trace, evaluate, guard, and improve everything around the model in your AI agents, on OTEL.
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
A secure persistent personal agent server in Rust. One binary, sandboxed execution, multi-provider LLMs, voice, memory, Telegram, WhatsApp, Discord, Teams, and MCP tools. Secure by design, runs on your hardware.
LLM speculative inference server for heterogeneous hardware & consumer GPUs
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
Turn expensive prompts into cheap fine-tuned models
QuantMind is an agent-native knowledge extraction and retrieval framework for quantitative finance.
LLMRouter: An Open-Source Library for LLM Routing
🧠 AI-powered enterprise search engine 🔎
My own Prompts for Custom instructions ChatGPT
Community maintained hardware plugin for vLLM on Ascend
An Open-source Toolkit for LLM Development
YAYI 2 是中科闻歌研发的新一代开源大语言模型,采用了超过 2 万亿 Tokens 的高质量、多语言语料进行预训练。(Repo for YaYi 2 Chinese LLMs)
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台,我们欢迎开源爱好者发起任何有意义的pr!
Concatenate a directory full of files into a single prompt for use with LLMs
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.
🔥 Java enterprise application development framework for full scenario: Restrained, Efficient, Open, Ecologicalll!!! 700% higher concurrency 50% memory savings Startup is 10 times faster. Packing 90% smaller; Compatible with java8 ~ java26; Supports LTS. (Replaceable spring)
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads