Open Weights
Open weights are AI models whose trained parameters can be downloaded and run directly on your own infrastructure — in contrast to API-only models. Typical licenses are MIT or Apache 2.0; DeepSeek, for example, ships its Flash models as open weights under MIT. Benefits: full per-token cost control, no vendor lock-in, own fine-tuning, and on-premise or private-cloud hosting. Trade-offs: you run the GPUs, maintenance, and evaluation yourself. For agent stacks, open weights matter because they combine deterministic local inference with high throughput (400+ tokens per second depending on hardware). In short: a licensed model artifact that is ingested like a library and self-hosted — with all the rights and duties that come with it.
Deep Dive: Open Weights
Open weights are AI models whose trained parameters can be downloaded and run directly on your own infrastructure — in contrast to API-only models. Typical licenses are MIT or Apache 2.0; DeepSeek, for example, ships its Flash models as open weights under MIT. Benefits: full per-token cost control, no vendor lock-in, own fine-tuning, and on-premise or private-cloud hosting. Trade-offs: you run the GPUs, maintenance, and evaluation yourself. For agent stacks, open weights matter because they combine deterministic local inference with high throughput (400+ tokens per second depending on hardware). In short: a licensed model artifact that is ingested like a library and self-hosted — with all the rights and duties that come with it.
Implementation Details
- Tech Stack
- Production-Ready Guardrails