模型 / NAVIN RESEARCH
Self-Hosting Llama: What to Validate Before Production
Cover licensing, weights, serving, safety, evaluation, and operations for a responsible Llama deployment.
Cover licensing, weights, serving, safety, evaluation, and operations for a responsible Llama deployment.
简要回答: Self-hosting gives control over infrastructure, not freedom from product responsibilities. Verify the specific Llama license, obtain artifacts from an authorized source, select a maintained serving stack, and add your own access controls, moderation, monitoring, and incident process.
实施步骤
- Document the model version, checksum, tokenizer, and template.
- Size GPU memory for weights, KV cache, concurrency, and headroom.
- Apply application-level safety controls appropriate to the use case.
- Benchmark quality, throughput, and tail latency after every optimization.
验证清单
- Run abuse and data-leakage tests.
- Exercise overload, restart, and rollback procedures.
- Confirm notices and attribution in distribution artifacts.
常见错误
- Treating a model's built-in safeguards as the whole safety system.
- Ignoring KV-cache memory in capacity plans.
- Downloading repackaged weights without provenance.
实际决策
先交付能够通过上述检查的最小设计。记录测试中使用的模型、提示词、工具、数据集与运行时版本，让后续变化可以被比较而不是被猜测。依赖供应商的限制、模型名称、价格或预览功能之前，请重新检查链接文档；这些细节变化往往快于本文的工程原则。
