feat(skills): add minicpm5-finetune-gguf-lora#362
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Bridge the gap between the PEFT-emitting minicpm5-finetune-* skills and GGUF runtimes (llama.cpp / Ollama / LM Studio / MiniCPM Desk Pet), which load a GGUF LoRA adapter via --lora rather than a .safetensors PEFT dir. The new skill documents: - converting a PEFT adapter with convert_lora_to_gguf.py (verified flags) - the base-path gotcha: adapter_config.json records the training machine's absolute path, so --base / --base-model-id must override it locally - testing with llama-server --lora on a quantized base - uploading the .gguf in MiniCPM Desk Pet's custom-LoRA flow Wire it into the navigation: add a shortcut + a "next step" section in the minicpm5-finetune router, and a LoRA-as-GGUF pointer in minicpm5-deploy-llama-cpp. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Bridge the gap between the PEFT-emitting minicpm5-finetune-* skills and GGUF runtimes (llama.cpp / Ollama / LM Studio / MiniCPM Desk Pet), which load a GGUF LoRA adapter via --lora rather than a .safetensors PEFT dir.
The new skill documents:
Wire it into the navigation: add a shortcut + a "next step" section in the minicpm5-finetune router, and a LoRA-as-GGUF pointer in minicpm5-deploy-llama-cpp.