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llama.bend

Llama-architecture models (SmolLM2 135M, 360M, 1.7B) in Bend 2, token for token against PyTorch, with the shapes in the types

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GITHUB · launched Oct 13, 2026 · 16 upvotes (top 73%)

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Could you build this?

Partial The project is a small Llama-architecture inference implementation in Bend 2, a niche language. Getting token-for-token parity with PyTorch requires careful numerical work and an understanding of the Bend runtime, which vibe coding alone may not handle.

What it would actually take: The stack is the Bend 2 language and its HVM-based runtime, plus loading SmolLM2 weights from safetensors and tokenizers. The hard parts are matching PyTorch numerics (RoPE, RMSNorm, attention, sampling) exactly and making the tensor-shape typing work in Bend. This takes ML-systems knowledge and debugging against a reference implementation.

Competitors

Other products that read as similar to this one : 126 launches clear the similarity bar, closest 8 shown.

Attention rank: #87 of 127 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 340 days after the earliest competitor.

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