Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
其他人工智能更新于 2026-10-21
macOS人工智能MIT
Repository dossier
nicedreamzapp/claude-code-local
Run Claude Code 100% on-device with local AI on Apple Silicon. MLX-native Anthropic-API server. 6 fighters incl. Muse-Glimmer 30B (now multimodal — reads images, abliterated), Gemma 4 31B, Qwen 3.5 122B (65 tok/s), DeepSeek V4 Flash (1M ctx). Private, offline, airgap-ready. Built for NDA / legal / healthcare workflows.
Brief / README 摘要
查看原文*Your Mac's chip runs the AI · Claude Code works exactly like it always does · nothing leaves your computer** *In one sentence:** a small Python server (proxy/server.py) runs open AI models on your Mac's chip with Apple's MLX and answers Claude Code in Anthropic's own API format, so Claude Code works with no cloud model and no API key. Other things I built that go with it are in the local-first family. A real session, unedited. Claude Code reads and edits the file, and the AI answering is running on the laptop. Matt Macosko wrote the glue that makes local models usable inside Claude Code. The…
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