Victoria: Flash-Next with 44% of experts cut, 70% on Terminal-Bench 2.1
A lab used a Dell B300 for two fine-tunes of Flash-Next, pruning experts from 512 to 288 per layer with REAP and retraining at NVFP4, GGUF included.
- Launch
- Qwen3.8-Flash-Next
- Use case
- Fine tuning
- Format
- Build
- Source
- reddit.com
rmonsurate


