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4 changes: 4 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -7,6 +7,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

## [Unreleased]

### Added

- **`nn.SaveTo`/`nn.LoadFrom`** — streaming Save/Load over `io.Writer`/`io.ReadSeeker` for HTTP responses, network connections, and in-memory buffers without touching disk. `nn.SaveToBytes` added as in-memory convenience. `LoadFromBytes` refactored as thin wrapper over `LoadFrom`. Serializer writer inverted onto `io.Writer`; `WriteTo` deduplication (~90 lines removed). Statement coverage 69.6% → 81.8% ([#133](https://github.com/born-ml/born/pull/133) by [@amery](https://github.com/amery))

## [0.9.17] - 2026-07-12

### Added
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -86,7 +86,7 @@ prediction := model.Predict(image)
- **GGUF Import** - llama.cpp format with K-quant dequantization (Q4_K, Q5_K, Q6_K, Q8_0)
- **LLaMA** - `models/llama.LoadGGUF()` for end-to-end LLaMA inference; verified on TinyLlama 1.1B Q8_0 and Q4_K_M
- **Injectable Attention** - swap attention implementation at model load time for research experiments
- **Native Format** - `.born` format with `nn.Save()` / `nn.Load()` / `nn.LoadFromBytes()` (`go:embed` support)
- **Native Format** - `.born` format with `nn.Save()` / `nn.Load()` / `nn.SaveTo()` / `nn.LoadFrom()` (file, stream, or `[]byte`)
- **Checkpoints** - Resume training with optimizer state preservation
- **SafeTensors** - HuggingFace compatible export
- **Reproducibility** - `nn.SetSeed()` for deterministic weight initialization
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