#本地部署
89 related articles
Product Reviews·3 min
GPT-OSS 120B Local Deployment Review: Comprehensive Comparison with O4 Mini on Code Generation and Reasoning
Hands-on review of OpenAI's first open-weight reasoning model GPT-OSS 120B, locally deployed via Ollama, benchmarked against O4 Mini on code generation, reasoning, and UI design.
Read more →
Deep Dives·3 min
Alibaba's QwQ-32B Open-Sourced: How 32B Parameters Rival DeepSeek R1's 671B
Alibaba's open-source reasoning model QwQ-32B achieves performance rivaling DeepSeek R1 (671B) with only 32B parameters through a two-stage reinforcement learning strategy on verifiable tasks.
Read more →
Tutorials·3 min
GPT-OSS Open-Source Model Local Deployment Tutorial: Real-World Performance and VRAM Usage Analysis
Complete guide to deploying OpenAI's open-source GPT-OSS model locally with Ollama. Real-world testing of the 20B version on RTX 4090 covering Chinese comprehension, logical reasoning, and VRAM usage analysis under MoE architecture.
Read more →
Tutorials·4 min
Whisper Local Deployment Guide: Step-by-Step Setup for a Free Speech-to-Text Tool
Step-by-step tutorial for locally deploying OpenAI Whisper speech recognition, covering Conda setup, PyTorch installation, model selection, and transcription operations with free SRT subtitle generation.
Read more →
Product Reviews·3 min
Gemma 4 Deep Dive: Running Google's Top-Tier AI Free and Offline
Deep dive into Google's Gemma 4 open-source AI: local deployment tutorial, head-to-head comparison with ChatGPT, and offline phone demo. Four model sizes from mobile to workstation, zero-code setup via LM Studio, fully private and forever free.
Read more →
Tutorials·3 min
GPT-OSS-20B Private Deployment Guide: Hardware Selection + Deployment Process + Performance Testing
Complete guide to privately deploying OpenAI's open-source GPT-OSS-20B: GPU selection (RTX 5090/V100/4070Ti), Linux deployment steps, API configuration, and real-world benchmarks with 120B hardware comparison.
Read more →
Tutorials·3 min
LocalAI Tutorial: Deploy LLMs Locally Without a GPU Using Docker
Complete LocalAI deployment tutorial: run nearly 1,000 open-source LLMs locally without a GPU. One-click Docker setup, OpenAI API compatible, supports chat, image generation, and voice — fully private.
Read more →
Tech Frontiers·3 min
Hugging Face Open-Source Agent Ecosystem Explained: From Local Deployment to AI-Automated Training
Deep dive into Hugging Face's open-source Agent ecosystem: open models matching closed-source performance, local deployment options, Skills for conversational model training, and MCP integration.
Read more →
Product Reviews·2 min
localOCR: A Locally Deployed Open-Source OCR Solution Supporting Gemma-4 and Other Vision Models
localOCR is an open-source local OCR tool powered by vision language models like Gemma-4 and Llama 3.2. Learn about its architecture, multi-model support, use cases, and advantages over traditional OCR.
Read more →
Product Reviews·3 min
Open WebUI: 130K-Star Open-Source AI Interface — Deployment Guide & Complete Feature Breakdown
Deep dive into Open WebUI, the 135K-star open-source AI interface covering Ollama integration, one-click Docker deployment, RAG document Q&A, multi-user management, and more.
Read more →
Tutorials·3 min
Claude Code Domestic Alternative: Low-Cost Deployment and Six Core Architecture Components Explained
Detailed guide on deploying Claude Code domestic alternatives via compatible API interfaces. Deep dive into six core systems: built-in tools, hierarchical memory, multi-Agent collaboration, and more.
Read more →
Product Reviews·3 min
The Complete Guide to AnythingLLM: A Privacy-First AI Assistant for Local Deployment
Deep dive into AnythingLLM: a privacy-first, zero-config open-source local AI tool. Supports RAG, multi-model switching, and document chat. Nearly 60K GitHub Stars, ideal for enterprise and personal local deployment.
Read more →
Tutorials·2 min
Unsloth Tutorial: Fine-Tune LLMs Locally with 5x Speed and Massive VRAM Savings
Learn how Unsloth uses LoRA optimization and Web UI to efficiently fine-tune Gemma 4, Qwen3, DeepSeek and more on consumer GPUs, with 2-5x speed gains and 50-70% VRAM reduction.
Read more →
Tutorials·3 min
Unsloth Tutorial: Fine-Tune LLMs Locally with Multi-fold Speed Boost and 60% VRAM Savings
Unsloth is an open-source LLM fine-tuning tool with 63K GitHub stars, supporting Gemma 4, Qwen3, and DeepSeek. It achieves multi-fold training speedup and 60% VRAM reduction through kernel optimization, enabling fine-tuning on consumer GPUs.
Read more →
Product Reviews·1 min
Unsloth: An Efficient Open-Source Tool for Local LLM Fine-Tuning
Unsloth is a 63,000+ star open-source project on GitHub with a Web UI for locally training and fine-tuning LLMs like Gemma 4, Qwen3, and DeepSeek on consumer GPUs.
Read more →
Product Reviews·1 min
Ollama: The Ultimate Tool for Running Large Models Locally
Ollama is an open-source tool with 170K+ GitHub stars that lets you run LLMs like DeepSeek, Qwen, and Gemma locally with just a few commands.
Read more →
Product Reviews·1 min
Unsloth: A Powerful Tool for Training Open-Source LLMs Locally
Unsloth is an open-source tool with 63K+ GitHub stars that provides a Web UI for locally training and running LLMs like Gemma 4, Qwen3.6, and DeepSeek.
Read more →
Product Reviews·1 min
Unsloth: A Powerful Tool for Locally Training and Running Open-Source LLMs
Unsloth is an open-source tool with 63K+ GitHub stars for locally training and running LLMs like Gemma 4, Qwen3.6, and DeepSeek with optimized VRAM usage.
Read more →
Product Reviews·2 min
OpenYak: Open-Source Local AI Agent Supporting 100+ Models with Zero Telemetry Privacy
OpenYak is an open-source local AI agent supporting Windows/macOS/Linux. Access 100+ models via OpenRouter, MCP, and Ollama with BYOK zero-telemetry privacy — a strong alternative to Claude Code and OpenAI Codex.
Read more →
Product Reviews·2 min
Unsloth: The Open-Source Tool for Fine-Tuning LLMs on a Single GPU with 70% Less VRAM
Unsloth is an open-source LLM fine-tuning tool with 63K+ GitHub stars. Fine-tune Gemma 4, Qwen 3, DeepSeek on a single RTX 3090 with 70% less VRAM, 2-5x faster training, and an intuitive Web UI.
Read more →