Fireworks AI has added a new model called Kalshi‑tuned Muse Glimmer 30B. It is a 30 billion‑parameter language model that has been fine‑tuned with a frozen Kalshi decision‑study LoRA (low‑rank adaptation) and per‑question‑type temperature settings. The model is offered as an API that can be further customized with a user's own data using LoRA, and it runs on dedicated GPUs with Fireworks' serving stack, which the company says has high reliability and no rate limits. The checkpoint is still a research version and has not yet been trained or validated on Polymarket data.
Why it matters
Developers can integrate a decision‑study‑optimized LLM into their apps without worrying about usage caps, speeding up prototype building for prediction‑market tools.
