An open-source implementaion for fine-tuning Qwen-VL series by Alibaba Cloud.

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

Run generative AI models in sophgo BM1684X/BM1688

qwen proxy . qwen code oauth file in use for a proxy server so you can use qwen coder model any tool that uses openai api and base url . and also the websearch api proxy

Local, Free CharacterAI with inference on Apple Silicon and ESP32 WebSocket transport

MCore-Bridge: Providing Megatron-Core model definitions for state-of-the-art large models and making Megatron training as simple as Transformers.

Give any AI agent a full desktop — it sees the screen, clicks, types, and runs apps like a human. Automate anything with a UI: browsers, legacy software, internal tools. No API needed. One Docker command.

A privacy-first Android chat app that runs large language models entirely on-device. No internet, no cloud, no tracking. Built with Kotlin, Jetpack Compose, and llama.cpp with optimized ARM NEON/SVE inference.

Configs, launchers, benchmarks, and tooling for running Qwen3.5 GGUF models locally with llama.cpp on a 16GB NVIDIA GPU

4-5x faster Qwen3.5 on ASUS GX10 / DGX Spark — Hybrid INT4+FP8 + MTP via one shell script

Fine-tune a local LLM on your own app's data in 15 minutes. Runs entirely on-device, zero cloud after training. Apple Silicon + CUDA.

A professional automation toolkit for ComfyUI to prepare LoRA training data using LLMs. New support for Qwen 3.5

PulseCoreLite is a desktop performance monitoring application based on Tauri 2 and Vue 3. It offers two forms of monitoring: floating window monitoring and taskbar monitoring. It displays real-time indicators such as CPU, GPU, memory, disk, and network, and supports system-level capabilities such as multiple languages, transparency and refresh rate

A local-first, privacy-focused CLI that brings vision and semantic understanding to the Unix pipe. Powered by Qwen 3.5-0.8B and Rust. 🦀

Experiment running Qwen3.5-35B-A3B through an external SSD on a RAM constrained 16GB M2 Apple Silicon machine

Demo application provides an interactive Gradio-based interface for exploring the multimodal capabilities of the Qwen/Qwen3.5-2B model from Hugging Face. Built with a focus on accessibility and real-time interaction, it enables users to perform a variety of vision-language tasks.

Fast Qwen 3.5 inference in pure Java

Qwen 3.5 Reverse Proxy for handling instant / thinking modes and their variants automatically

Privacy-first workflow for processing documents, videos, podcasts, and RSS feeds with local AI

SAM3-Plus-Qwen3.5 is an advanced, experimental computer vision suite that seamlessly integrates Facebook's Segment Anything Model 3 (SAM3) with the Qwen3.5 multimodal reasoning engine.