Kolosal

Train and run LLMs on your device

Introduction

Train and run LLMs on your device #OpenSource #ArtificialIntelligence #GitHub #tech 👉 192 PH Upvotes: https://www.producthunt.com/posts/kolosal-ai 原文地址: https://kolosal.ai/


Added On:

Feb 7, 2025

Monthly Visitors:

SimilarWeb Icon
--

Affiliate Program:

No

Train and run LLMs on your device

Kolosal's Overview

Kolosal AI is a versatile, open-source platform designed to train and run large language models (LLMs) locally on your device. Built for simplicity, speed, and efficiency, it supports both personal and enterprise use cases. The platform is a standalone, cross-platform desktop application compatible with both GPUs and CPUs, allowing users to fine-tune models with synthetic data and optimize them for faster inference. Kolosal AI offers personalized training, guardrails for safety, and the ability to run multiple models in real-time without overhead. It is ideal for individuals, small teams, and large enterprises seeking to deploy AI models privately and efficiently. The platform also supports data synthesis, document retrieval-augmented generation, and on-device API integration, making it a comprehensive solution for AI model management and deployment.


Kolosal's Features

  • Cross-platform compatibility

  • Personalized training and guardrails

  • Synthetic data fine-tuning

  • Real-time multi-model running

  • On-device API integration

  • Document retrieval-augmented generation

  • Fast model optimization

  • Multi-GPU support


Kolosal's Q&A


Kolosal's Pricing

Kolosal AI offers an open-source version for individuals and small teams under the Apache 2.0 license. Enterprise features are available under a proprietary license.

Kolosal's Analytics

Website Overview

Key performance metrics for kolosal.ai

Bounce Rate

0.00%

Pages / Visit

0.00

Total Visits

0

Time on Site

0m 0s

Global Rank

#0

Country Rank

#0

Top Regions

Distribution of traffic by country

    Total Visitors

    Monthly visitor statistics for the last 3 months

    Trending down by NaN% this month
    November - January 2025

    Traffic Sources

    Distribution of traffic sources

    Social:
    0.0%
    Paid Referrals:
    0.0%
    Mail:
    0.0%
    Referrals:
    0.0%
    Search:
    0.0%
    Direct:
    0.0%
    Dominant source: Social
    0.0% of total traffic

    Kolosal's Alternatives