[mD] MICRO DISTILLERY

GRPO CONFIGURATION

Group Size 8

KL Penalty 0.10

Advantage Clip 2.0

KV-Cache Size 512

Cache Reuse Threshold 0.90

KV-Cache: Inactive

Groups

Cache Hit

Training Steps

VAE FILTER & MASKING

Latent Dimension 32

Beta (KL Weight) 0.010

Filter Threshold 0.70

Mask Intensity 0.8

Feedback Window 50

Masking: Inactive

VAE Loss

0.000

Filtered %

Masked Tokens

REAL-TIME TRAINING TERMINAL

[00:00:00] [mD] GRPO + VAE Enhanced Training System v1.0 [00:00:00] FEATURES: [00:00:00] • Group Relative Policy Optimization (GRPO) [00:00:00] • Interpreter Feedback Masking [00:00:00] • KV-Cache Reuse for Thought tokens [00:00:00] • VAE Filter for distillation quality [00:00:00] • Python sandbox integration [00:00:00] STATUS: Ready for initialization...

Idle

🐍 Python Sandbox Interface

>>> Python 3.11 (simulated) - Sandbox Ready >>> Safe execution environment active >>> Max execution time: 5 seconds

Token Visualization: