- Who it helps
- Developers studying small inference implementations.
- Availability
- Public MIT-licensed project for SmolLM2-135M base text completion.
What the size includes
The binary excludes model weights, the tokenizer and the Python interface. Those remain separate dependencies.
bytesized: a tiny inference engine with separate model files ↗
The usable boundary
The README limits prompt plus output to 1,024 tokens and warns that error handling is absent. Author tests matched a reference implementation on three short prompts; broader correctness remains unverified.
bytesized: a tiny inference engine with separate model files ↗
What you can do
- Read the implementation constraints before trying the example. Open reference ↗
Where the evidence stops
README read November 3. No compilation or inference executed. This is an experimental implementation, not a complete chat application.
Sources read. Primary sources read November 3, 2026 UTC. No third-party software, model inference or full workflow executed.
Sources & further reading
GitHub · official
bytesized: a tiny inference engine with separate model files ↗
Identifies the subject, documented capability or specific verification limit.
utsav1033 · page checked 2026-11-03
Coverage note: Independent attention and end-to-end execution remain unverified.
The record over time (1)
Dated source checks and published explanations. An observation date can differ from the original release date.
- · Added to Current
bytesized compresses a Linux arm64 language-model engine into 3,156 bytes.