# Fireworks launches Kalshi‑tuned Muse Glimmer 30B model

> Fireworks AI offers a 30‑billion‑parameter model fine‑tuned for Kalshi decision studies, available via on‑demand API with no rate limits.

Oossa · 2026-10-20 · https://oossa.com/en/fireworks-launches-kalshi-tuned-muse-glimmer-30b-model

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.

## The facts

- Model size: 30 billion parameters
- Fine‑tuned with a frozen Kalshi decision‑study LoRA

## 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.

## Sources & references

1. [Kalshi-tuned Muse Glimmer 30B](https://fireworks.ai/models/fireworks/kalshi-glimmer-decision-v1) – Fireworks AI

Last updated: 2026-10-20