Tutorial: RL Fine-Tuning Qwen with Jev Reward Model to Cut AI Slop

Sophia Yang published a tutorial showing how to RL fine-tune Qwen3.8-27B on Fireworks using Jev as the reward model, raising the anti-AI-slop reward score from 0.58 to 0.76 in just 24 steps without local GPUs.

2026-09-24 ~ 2026-09-25 · 2 related posts

• RL tutorial: using Jev as reward model lifts Qwen reward from 0.583 to 0.759 — sophiamyang · 2026-09-24
• Tutorial: train Qwen3.8-27B via RL with Jev as reward model, no GPU needed, ~$5 total — sophiamyang · 2026-09-25