> Just as Odysseus (Ulysses) piloted his raft through dangerous seas guided by hard-won knowledge, this model navigates complex DevOps questions anchored to real documentation, code, and system knowledge — not guesswork. After both phases, the LoRA adapters were merged back into the base model, then exported and quantized to GGUF format using llama.cpp. > Important: You must install the GPU-enabled version of llama-cpp-python. The default CPU build will be extremely slow on large models. CPT Corpus contents (467 MB total): — GitHub README files from DevOps repositories — Official documentation for Docker, Kubernetes, Terraform, Ansible, CI/CD tools — Cleaned Linux/Unix manpages — Code scripts (Bash, Python, YAML, Dockerfile) with repository metadata SFT instruction styles include: — Direct Command («Create a script to…») — Troubleshooting (diagnosing and fixing errors) — Conceptual («Explain the difference between…») — Refactoring (optimizing and improvin mergeandunload() — merged LoRA weights into base model…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: jalpan04
Теги: gguf, devops, kubernetes, docker, ci-cd, qlora, sre, llama-cpp
Лайков: 3 | Загрузок: 61
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
