Showing 57 open source projects for "lora"

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  • 1
    Alpaca.cpp

    Alpaca.cpp

    Locally run an Instruction-Tuned Chat-Style LLM

    ...This combines the LLaMA foundation model with an open reproduction of Stanford Alpaca a fine-tuning of the base model to obey instructions (akin to the RLHF used to train ChatGPT) and a set of modifications to llama.cpp to add a chat interface. Download the zip file corresponding to your operating system from the latest release. The weights are based on the published fine-tunes from alpaca-lora, converted back into a PyTorch checkpoint with a modified script and then quantized with llama.cpp the regular way.
    Downloads: 6 This Week
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  • 2
    OpenDelta

    OpenDelta

    A plug-and-play library for parameter-efficient-tuning

    ...OpenDelta is a toolkit for parameter-efficient tuning methods (we dub it as delta tuning), by which users could flexibly assign (or add) a small amount parameters to update while keeping the most parameters frozen. By using OpenDelta, users could easily implement prefix-tuning, adapters, Lora, or any other types of delta tuning with preferred PTMs.
    Downloads: 2 This Week
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  • 3
    PJON

    PJON

    Experimental, arduino-compatible, multi-master, multi-media network

    PJON® (Padded Jittering Operative Network) is an experimental, Arduino-compatible, multi-master, multi-media, software-defined network protocol that can be easily cross-compiled on many microcontrollers and real-time operative systems like ATtiny, ATmega, SAMD, ESP8266, ESP32, STM32, Teensy, Raspberry Pi, Zephyr, Linux, Windows x86, Apple and Android. PJON operates on a wide range of media, data links and existing protocols like PJDL, PJDLR, PJDLS, Serial, RS485, USB, ASK/FSK, LoRa, UDP, TCP, MQTT and ESPNOW. PJON is an experimental network protocol stack crafted in 10 years of research and experimentation. It was originally developed as an open-source alternative to i2c and 1-Wire but during development, its scope and features have been extended to cover use cases where IP is generally applied. PJON has been engineered to have a variable footprint (4.2-8.2 kB program memory) and overhead (5-35 bytes per packet) depending on its configuration.
    Downloads: 6 This Week
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  • 4
    LoRa UDP Gateway

    LoRa UDP Gateway

    Interface application between LoRa and UDP protocols

    This application is designed for a bi-directional data exchange between IOT platforms connected through a LoRa RF link and a centralised processing facility connected to a LAN through an UDP link. It can run on any hardware platform hosting a Semtech LoRa module connected through a serial link and a network adapter. It has been designed to run on the Libelium Meshlium platform but is also compatible with Windows and Linux operating systems.
    Downloads: 0 This Week
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  • 5
    Lora Youtube Player is a simple gtk application to manage YouTube video's playlists and play YouTube videos.
    Downloads: 0 This Week
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  • 6
    Krea 2 Raw

    Krea 2 Raw

    Base Krea image model for LoRA training and fine-tuning

    Krea 2 Raw is Krea AI’s base open-weight text-to-image diffusion checkpoint, designed primarily for fine-tuning, LoRA training, and post-training rather than direct inference. It is part of the Krea 2 model family and uses a 12-billion-parameter Diffusion Transformer architecture to generate images from natural-language prompts. Unlike Krea 2 Turbo, which is distilled and optimized for faster direct generation, Raw is the foundational checkpoint before additional post-training and fine-tuning. ...
    Downloads: 0 This Week
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  • 7
    Krea 2 Turbo

    Krea 2 Turbo

    Fast 12B image model for high-quality text-to-image generation

    ...Designed for creative professionals, developers, and researchers, it supports concept art, design exploration, marketing assets, illustrations, and commercial visual production. Unlike the Raw checkpoint, which is intended for fine-tuning and LoRA training, Turbo is optimized for direct inference, delivering native resolutions up to 2K with excellent prompt adherence and broad aesthetic diversity. The model integrates with Diffusers, SGLang, ComfyUI, and other modern inference frameworks, and supports LoRAs trained on the Raw model.
    Downloads: 0 This Week
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