Fireworks AI announced that Muse Spark Open, Meta’s open‑weights model, is available today on its US‑only serverless API. The model uses a mixture‑of‑experts architecture with 816 B total parameters but only 42 B active per token, and it can handle up to a 1 M‑token context window. Fireworks runs it with zero data retention by default and offers a serverless‑to‑reserved‑throughput upgrade path, plus LoRA fine‑tuning.
Why it matters
Enterprises in regulated fields can now run a high‑performing US‑trained model locally without data retention, reducing compliance risk and cost.
