#DeepSeek model setup
350 related articles
·3 min
Zero-Cost VibeCoding: Complete Guide to Connecting Local Ollama Models to Codex
Step-by-step guide to running local open-source models (Qwen3/Gemma) with Ollama, connecting to Codex via CC Switch for zero-token AI coding. Works on a 6GB VRAM laptop.
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·2 min
Waveloom: An Open-Source Terminal AI Coding Agent Deeply Optimized for DeepSeek
Waveloom is an open-source terminal coding Agent deeply optimized for DeepSeek, with cache hit rates near 99% to drastically cut token costs. Supports Linux, Windows, macOS, and Claude Code Skills.
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·3 min
Claude Code Enterprise Guide: Environment Setup, Git Workflows, and Switching to Chinese AI Models
Enterprise guide to Claude Code: CLI setup, switching to DeepSeek and other Chinese AI models, Git workflow automation, and bug fix loops to boost team productivity.
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·2 min
Getting Started with Codex: A Practical Guide to OpenAI's AI Coding Assistant
A practical guide to OpenAI Codex: core features, Codex vs. Claude Code comparison, and why the Codex+DeepSeek combo doesn't work. Avoid common pitfalls and boost your coding productivity.
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·3 min
Cherry Studio + MCP: A Practical Guide to Building AI Agents with Local Deployment
Learn how to build an automated AI agent using Cherry Studio, MCP protocol, and locally deployed models — covering DeepSeek integration, web scraping, and private knowledge base setup.
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·2 min
vLLM Inference Framework Deep Dive: A Practical Guide to High-Concurrency DeepSeek Deployment
A deep dive into vLLM's five core features — KV cache management, continuous batching, and distributed inference — plus a full setup guide for deploying DeepSeek on a cloud server.
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·2 min
TradingAgents-astock: A Practical Guide to the Multi-Agent Research Framework for A-Share Markets
TradingAgents-astock is a multi-agent A-share research framework with free domestic data sources, seven debating analyst agents, and support for DeepSeek, Qwen, and more.
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·3 min
Cherry Studio + MCP + Ollama: The Complete Guide to Building a Local AI Agent and Private Knowledge Base
A hands-on guide to building a local AI agent and private knowledge base using Cherry Studio, MCP, and Ollama — with web scraping, report generation, and terminal control.
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·3 min
AI Agent Home Server Selection Guide: Low-Cost OpenClaw Deployment in Practice
Discover why AI Agents burn through API budgets fast, and how to deploy OpenClaw on a home server using Ollama, DeepSeek, and Gemini in a cost-effective hybrid setup.
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·3 min
The AI Privacy Debate: Why Local Models and Open-Source Frameworks Are Essential
When cloud AI privacy terms hide data-sharing risks, local model deployment and open-source frameworks offer developers a path to true data control. Analyzing xAI, OpenAI, GLM, Kimi, and Qwen.
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·2 min
Spring AI in Action: A Complete Guide to LLM Integration for Java Developers
Spring AI is Java's answer to LangChain — offering unified multi-model APIs, structured output, RAG, Tool Calling, and MCP protocol support for enterprise LLM development.
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·3 min
Tencent Hunyuan Hy3 Free Access Guide: 5 Channels to Try It at No Cost
Tencent Hunyuan Hy3 is live — here are 5 free access channels including WorkBuddy, Hermes Agent, OpenRouter, SiliconFlow, and WeChat Mini Program (up to 100M tokens).
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·3 min
GPUStack in Action: Complete Guide to Day 0 Deployment of DeepSeek-V4-Flash
Deploy DeepSeek-V4-Flash DSpark on 8× H20-141G using GPUStack's SGLang backend on Day 0. Full walkthrough of Web UI config, parameter tuning, and 200 tokens/sec benchmark results.
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·3 min
n8n Automated AI Video Generation Pipeline: From Prompts to Batch Output — Complete Guide
A complete guide to n8n AI video generation automation: LLM-structured prompts, batch reference images, async video polling, and Google Sheets cost tracking — triggered by a single Webhook.
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·3 min
Qwen3.5 Uncensored Version Local Deployment: Run a 35B Model on Just 6GB VRAM
Run Qwen3 35B-A3B uncensored locally on just 6GB VRAM using llama.cpp and GGUF quantization. Full deployment guide, code generation tests, and Agent integration walkthrough.
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·2 min
ExLlamaV3 v1.0.0 Official Release: Faster Inference, Lossless KV Quantization, and Streamlined Dependencies
ExLlamaV3 v1.0.0 releases with lossless KV cache quantization via kernel fusion, removal of flash-attention-2/xformers, major GEMM/GEMV gains, and broader tensor parallelism support.
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·2 min
Ollama Complete Guide: Running Open-Source LLMs Locally
Want to run open-source LLMs like DeepSeek locally for free? Ollama is the easiest solution. This guide covers what Ollama is, its core advantages, and key use cases.
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·4 min
Running Qwen3.6 27B Locally on a Single RTX 3090: A Complete Guide to Cloud-Rivaling Performance
One used RTX 3090, one 16.8GB GGUF file, and Qwen3.6 27B runs locally offline. SWE-bench score of 77 rivals Claude Sonnet. MTP boosts speed to 59 tok/s. Full local AI coding assistant deployment guide.
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·3 min
Connect Codex to DeepSeek: A Complete Setup Guide for Beginners
No ChatGPT Plus? No problem. Learn how to connect DeepSeek and other domestic LLMs to Codex using Codex++, with full setup steps from install to launch.
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·3 min
Vibe Coding in Practice: A Comprehensive Review and Selection Guide for 6 AI Coding Tools
In-depth comparison of 6 Vibe Coding tools — Claude Code, Trae, Zhipu, Cursor, and more — covering setup cost, Chinese support, pricing, and code quality.
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