阿里云对Qwen-BL系列进行微调的开源实现。
qwen3-5 开源项目推荐(100 个)
qwen3-5 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 100 个仓库一位开源的共打者,支持macOS全系统AI自动补全
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
DGX Spark上的Qwen3.5-122B-A10B:28.3→51 tok/s(+80%)
Private on-device AI chat for Android - runs any GGUF model locally via llama.cpp with ARM-optimised SIMD. Zero network permissions, encrypted settings, biometric lock, tamper detection. + GPU Acceleration - PQC ML-DSA-87 signed releases
QWEN 代理。QWEN 代码 OauS 文件用于代理服务器,所以你可以使用 Qwen Coder Model,任何使用 OpenAI API 和基础 URL 的工具。 以及WebSearch API代理
Make Local AI Toys, Robots, Devices that work with a MacBook and an Arduino ESP32
MCore-Bridge:为前沿大模型提供 Megatron-Core 模型定义,让 Megatron 训练像 Transformers 一样简单——支持 300+ 大语言模型(Qwen3-Next、GLM-5.3、Deepseek-V4、MiniMax-2.7 等)和 200+ 多模态大模型(Qwen3.8、Qwen3-Omni、Gemma4 等)。
Qwen3.5-2B with a filesystem compiled and inserted directly into its weights.
ComfyUI node that feeds a reference image through the Qwen3.5-9B vision tower and injects its embeddings into the text prompt (MOSS-Image conditioning)
4-5x faster Qwen3.5 on ASUS GX10 / DGX Spark — Hybrid INT4+FP8 + MTP via one shell script
Learn DeepInfer through a small, runnable inference engine. Follow the code on CPU, then run real Qwen3.5 models on Ascend 910C.
MOSS-Image for Stable Diffusion WebUI Forge Neo: text-to-image with sharp English and Chinese text, img2img and layouts by boxes, with the SFT and Base models
Fast Qwen 3.5 inference in pure Java
A professional automation toolkit for ComfyUI to prepare LoRA training data using LLMs. New support for Qwen 3.5
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.
7.67× LoRA / 8.35× Full FT speedup for Qwen3.5 (0.8B–27B) on NVIDIA DGX Spark — wall-clock parity with rented H100. Lossless within BF16. Three-command interactive wizard handles model picker, data validator, training, and merge.
Six small transformers compiled into Qwen3.5-9B, trained in its own forward passes. Qwen runs the experiments.
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
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/qwen3-5。
- 该话题在 GitHub 上共有 100 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4663 Star,覆盖 7 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。