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v6e Best LLM - Trained on Trillium TPU

  • Architecture: SmolLM2-360M (Llama, 960 hidden, 32 layers, 409M params)
  • Dataset: FineWeb-Edu streaming
  • Optimizer: AdamW + Warmup Cosine (peak 3e-4)
  • Precision: bfloat16 on TPU v6e-1 (918 TFLOPS), 31GB HBM
  • Budget: $39 at $3.05/h => 12.78h, target 2.29B tokens
  • Hardware: AMD EPYC 9B14, 172GB RAM, TPU v6e-1
  • Current step: 0 Trained by Muse Code.
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