Run Claude Code 100% Locally — No API Key & Save $200/Monthly скачать в хорошем качестве

Run Claude Code 100% Locally — No API Key & Save $200/Monthly

🚀 What You’ll Learn How to install Claude Code CLI How to configure Claude Code Router How to run GLM 4.7 Flash with Llama.cpp How to connect everything together How to run Claude Code locally without Anthropic API 📦 Required Tools Llama.cpp GLM 4.7 Flash Model (GGUF format) Claude Code CLI Claude Code Router Install the required npm tools: bash npm install -g @anthropic-ai/claude-code npm install -g @musistudio/claude-code-router ⚡ Launch Llama.cpp (Optimized for GLM 4.7 Flash) bash ./llama-server \ -m /path/to/your/model/GLM-4.7-Flash-UD-Q4_K_XL.gguf \ --alias GLM-4.7-flash \ --host 0.0.0.0 \ --port 2026 \ --ctx-size 50000 \ --flash-attn on \ --cache-type-k q8_0 \ --cache-type-v q8_0 \ --fit on \ --jinja \ --threads 6 ⚠️ Make sure your system has enough RAM for a 50K context window. ▶️ Start Claude Code with Router bash ccr code --model GLM-4.7-flash The router translates Anthropic API calls into requests to your local Llama.cpp server. 🧠 Important Notes • Context Size is set to 50,000 tokens— adjust based on your RAM/VRAM • --jinja flag is required for correct template handling • @musistudio/claude-code-router connects Claude Code to your local server • No Anthropic API key required If this helped you, consider subscribing for more DevOps, AI, and local LLM setup tutorials 🚀 More advanced local AI workflows coming soon. #LocalLLM #ClaudeCode #GLM47 #LlamaCpp #AISetup #DevOps #OpenSource