> For the complete documentation index, see [llms.txt](https://unsloth.ai/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://unsloth.ai/docs/zh/bo-ke.md).

# 博客

- [使用 Unsloth 内核 + Packing 实现 3 倍更快的 LLM 训练](https://unsloth.ai/docs/zh/bo-ke/3x-faster-training-packing.md): 了解 Unsloth 如何提升训练吞吐量并消除微调中的填充浪费。
- [50 万上下文长度微调](https://unsloth.ai/docs/zh/bo-ke/500k-context-length-fine-tuning.md): 了解如何使用 Unsloth 启用超过 50 万 token 的上下文窗口微调。
- [量化感知训练（QAT）](https://unsloth.ai/docs/zh/bo-ke/quantization-aware-training-qat.md): 使用 Unsloth 和 PyTorch 将模型量化为 4 位以恢复精度。
- [在 NVIDIA DGX Station 上使用 Unsloth 微调 LLM](https://unsloth.ai/docs/zh/bo-ke/dgx-station.md): 关于如何使用 Unsloth 笔记本进行微调的 NVIDIA DGX Station 教程。
- [如何使用 Unsloth 和 Docker 微调 LLM](https://unsloth.ai/docs/zh/bo-ke/how-to-fine-tune-llms-with-unsloth-and-docker.md): 了解如何使用 Unsloth 的 Docker 镜像来微调 LLM 或进行强化学习（RL）。
- [使用 NVIDIA DGX Spark 和 Unsloth 微调 LLM](https://unsloth.ai/docs/zh/bo-ke/fine-tuning-llms-with-nvidia-dgx-spark-and-unsloth.md): 关于如何在 NVIDIA DGX Spark 上使用 OpenAI gpt-oss 进行微调和强化学习（RL）的教程。
- [使用 Blackwell、RTX 50 系列和 Unsloth 微调 LLM](https://unsloth.ai/docs/zh/bo-ke/fine-tuning-llms-with-blackwell-rtx-50-series-and-unsloth.md): 通过我们的分步指南，了解如何在 NVIDIA 的 Blackwell RTX 50 系列和 B200 GPU 上微调 LLM。
- [如何在 ComfyUI 中运行 Diffusion Image GGUF](https://unsloth.ai/docs/zh/bo-ke/comfyui.md): 在 ComfyUI 中运行 Unsloth Diffusion GGUF 模型的指南。
- [AI Engineer 2025](https://unsloth.ai/docs/zh/bo-ke/ai-engineers-2025.md): AI Engineer 世界博览会 2025 工作坊幻灯片。
- [GPU Mode - 强化学习迷你会议 2026](https://unsloth.ai/docs/zh/bo-ke/gpu-mode-conference.md): 我们的 PyTorch Conference 2025 演讲幻灯片。
- [Unsloth AMD PyTorch 合成数据黑客松](https://unsloth.ai/docs/zh/bo-ke/unsloth-amd-pytorch-synthetic-data-hackathon.md): 在 AMD GPU 上运行 Unsloth 的技巧、故障排查和指南。
- [PyTorch Conference 2025 - Unsloth](https://unsloth.ai/docs/zh/bo-ke/pytorch-conference-2025-unsloth.md): 我们的 PyTorch Conference 2025 演讲幻灯片。


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