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Back to thunlp/webcpm

Open-source alternatives to WebCPM

11 open-source projects similar to thunlp/webcpm, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best WebCPM alternative.

  • jittor/jittorllmsJittor 的头像

    Jittor/JittorLLMs

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    计图大模型推理库,具有高性能、配置要求低、中文支持好、可移植等特点

    Python
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    KevinWang676/ChatGLM2-Voice-Cloning

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    Chat with any character you like: ChatGLM2+SadTalker+Voice Cloning | 和喜欢的角色沉浸式对话吧:ChatGLM2+声音克隆+视频对话

    Python
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  • memfreeme/memfreememfreeme 的头像

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    MemFree - Hybrid AI Search Engine & AI Page Generator

    TypeScriptaiai-searchai-search-engine
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  • omxyz/lumenomxyz 的头像

    omxyz/lumen

    49在 GitHub 上查看↗

    A vision-first browser agent with self-healing deterministic replay.

    TypeScript
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  • optimalscale/lmflowOptimalScale 的头像

    OptimalScale/LMFlow

    8,488在 GitHub 上查看↗

    LMFlow is a comprehensive suite for large language model fine-tuning, context extension, multimodal processing, and inference execution. It provides a toolkit for updating model parameters through full tuning or memory-efficient adapter algorithms, alongside an inference engine for executing tuned models via command-line or web-based interfaces. The framework includes a dedicated alignment suite for supervised tuning and reward model training to refine model behavior. It features a context window extender to increase maximum input lengths and a multimodal framework for building chatbots that

    Pythonchatgptdeep-learninginstruction-following
    在 GitHub 上查看↗8,488

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  • pleisto/flappypleisto 的头像

    pleisto/flappy

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    Production-Ready LLM Agent SDK for Every Developer

    Rustagentchatgptgenerative-ai
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  • soulteary/docker-llama2-chatsoulteary 的头像

    soulteary/docker-llama2-chat

    535在 GitHub 上查看↗

    Play LLaMA2 (official / 中文版 / INT4 / llama2.cpp) Together! ONLY 3 STEPS! ( non GPU / 5GB vRAM / 8~14GB vRAM)

    Pythonllamallama2llama2-docker
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  • sunner/chatallsunner 的头像

    sunner/ChatALL

    16,412在 GitHub 上查看↗

    ChatALL is a multi-model chat client and productivity tool designed to evaluate the quality of answers from different large language models. It provides a unified interface for interacting with various AI chatbots across different service providers from a single window, allowing users to send a single prompt to multiple models simultaneously. The application enables side-by-side response comparison through a dynamic columnar layout and concurrent querying. It functions as a local chat history manager, using a privacy-focused storage system to keep prompt records and conversation history saved

    JavaScript
    在 GitHub 上查看↗16,412
  • wenda-llm/wendawenda-LLM 的头像

    wenda-LLM/wenda

    6,173在 GitHub 上查看↗

    Wenda is an LLM orchestration platform and custom workflow engine designed to manage multiple language model backends through a unified interface. It functions as a self-hosted AI gateway that enables the execution of complex task sequences and automated conversation flows. The system utilizes JavaScript plugins to orchestrate workflows and trigger external API calls. It supports retrieval augmented generation by injecting relevant data from vector stores and offline files into prompts to increase response accuracy. The platform is built for private network deployments, featuring multi-user

    JavaScriptchatglm-6bchatrwkvrwkv
    在 GitHub 上查看↗6,173
  • ypwhs/creativechatglmypwhs 的头像

    ypwhs/CreativeChatGLM

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    👋 欢迎来到 ChatGLM 创意世界!你可以使用修订和续写的功能来生成创意内容!

    Pythonchatchat-applicationchatbot
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  • ztxz16/fastllmztxz16 的头像

    ztxz16/fastllm

    4,779在 GitHub 上查看↗

    fastllm is a set of specialized software components for model weight conversion, Mixture-of-Experts runtimes, and tensor parallelism. It provides an OpenAI compatible API server to expose large language model capabilities through a standardized request format. The project features a tensor parallelism framework that splits computational workloads across multiple GPUs to accelerate execution. It includes a dedicated runtime optimized for Mixture-of-Experts architectures and a quantization tool to convert model weights into lower precision formats to reduce memory usage and increase throughput.

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    在 GitHub 上查看↗4,779