v10 moonshot: ternary MLP quant + scaled model + hedge mixer + enhanced n-gram#2
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sunnypatneedi merged 2 commits intomainfrom Mar 26, 2026
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…hanced n-gram - train_gpt_v10_safe.py: v9a + Hedge Mixer (multiplicative weights) + add-delta n-gram smoothing, dim=512 - train_gpt_v10_moonshot.py: model_dim=640 (42M params) + adaptive quant (ternary MLP / int4 attn / int6 embed) + Hedge Mixer - auto_experiment.py: local CPU random search over 20 configs, logs to experiments.jsonl - submit.sh: packaging and staging script for H100 runs - PLAN.md: strategy doc with size estimates and run order Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- validate_configs.py: CPU-only artifact size estimator for moonshot configs (no GPU/data needed) - experiments.jsonl: 20 initial random search results from auto_experiment.py Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Re-opened from openai#863 (opened on wrong repo).