Showing 5 open source projects for "model train"

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  • 1
    verl-agent

    verl-agent

    Designed for training LLM/VLM agents via RL

    ...This step-wise interaction model makes it possible to train agents to operate in long-horizon scenarios where decisions depend on cumulative context and previous outcomes. Developers can configure memory modules that determine how historical information is stored and incorporated into each step of the reasoning process.
    Downloads: 2 This Week
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  • 2
    Agent Reinforcement Trainer

    Agent Reinforcement Trainer

    Train multi-step agents for real-world tasks using GRPO

    Agent Reinforcement Trainer, or ART is an open-source reinforcement learning framework tailored to training large language model agents through experience, making them more reliable and performant on multi-turn, multi-step tasks. Instead of just manually crafting prompts or relying on supervised fine-tuning, ART uses techniques like Group Relative Policy Optimization (GRPO) to let agents learn from environmental feedback and reward signals. The framework is designed to integrate easily with Python applications, abstracting much of the RL infrastructure so developers can train agents without deep RL expertise or heavy infrastructure overhead. ...
    Downloads: 1 This Week
    Last Update:
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  • 3
    autoresearch

    autoresearch

    AI agents autonomously run and improve ML experiments overnight

    autoresearch is an experimental framework that enables AI agents to autonomously conduct machine learning research by iteratively modifying and training models. Created by Andrej Karpathy, the project allows an agent to edit the model training code, run short experiments, evaluate results, and repeat the process without human intervention. Each experiment runs for a fixed five-minute training window, enabling rapid iteration and consistent comparison across architectural or hyperparameter...
    Downloads: 2 This Week
    Last Update:
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  • 4
    smolagents

    smolagents

    Agents write python code to call tools and orchestrate other agents

    ...We provide our definition in this page, where you’ll also find tips for when to use them or not (spoilers: you’ll often be better off without agents). smolagents is a lightweight framework for building AI agents using large language models (LLMs). It simplifies the development of AI-driven applications by providing tools to create, train, and deploy language model-based agents.
    Downloads: 1 This Week
    Last Update:
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  • 5
    kolosal

    kolosal

    Open Source and Lightweight Local LLM Platform

    Kolosal AI is the leading open-source local LLM platform. Download, train, and run local LLM models on your device with no cloud dependencies. An opensource and lightweight alternative to LM Studio.
    Downloads: 2 This Week
    Last Update:
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