NVIDIA Transaction Decoder Foundation Model (~29M)

Pretrained checkpoint from the NVIDIA Build Your Own Transaction Foundation Model developer example, as described in the NVIDIA Technical Blog.

  • Architecture: Llama decoder-only (~29M params, hidden 512, 8 layers, GQA)
  • Vocabulary: ~6,251 domain-specific financial transaction tokens
  • Trained ~3,000 steps on IBM TabFormer with NeMo AutoModel
  • Load with AutoModelForCausalLM.from_pretrained(...) and extract last-token embeddings

This Hub mirror exists so Spaces / Transformers can load the Git LFS checkpoint published under models/decoder-foundation-model/ in the upstream GitHub repo.

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29M params
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