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violetxi
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Model Details
Model Provider
violetxi
Model Tree
Qwen/Qwen3.5-9B
Input Modalities
Output Modalities
Supported Functionality
LoRA adapter (PEFT) from the wm-internalization v4.2 RECURSIVE NOTES wave — checkpoint b5-30m.
Base model: Qwen/Qwen3.5-9B (hub snapshot c202236235762e1c871ad0ccb60c8ee5ba337b9a); the adapter
applies at scale alpha/r = 1.0 on top of the frozen bf16 base.
b5-30m = the first 966,315 notes of the note bank in generation order
= 30,000,001 training_text tokens (30,966,316 incl. one EOS per note), 946 optimizer
steps (one epoch, 32,768 tokens per step, 16,384-token rows, document packing)f77ff2a4d056d81146e7e1cacf68f795047cc40bff7e7123ae85c56a9718e632Usage:
markdown
from peft import PeftModelmodel = PeftModel.from_pretrained(base_model, "violetxi/qwen35-9b-wmrl-v4-b5-30m")
train_summary.json (uploaded alongside) holds the full run record