pt-safe-loader 0.1.4

Safe parser-based PyTorch checkpoint converter to safetensors

pt-loader

Safe parser-based PyTorch checkpoint converter to safetensors with both Rust and Python APIs.

Active Development Notice

pt-loader is under active development. During v0.1.x, we may introduce breaking API and behavior changes in both Rust and Python interfaces without backward-compatibility guarantees.

Features

• Parses torch zip .pt checkpoints with strict safety limits.
• Converts checkpoints to model.safetensors + model.yaml.
• Inspects checkpoint metadata and tensor summaries.
• Loads tensors directly into Python as NumPy arrays.

Installation

Python

Install from PyPI:

pip install pt-safe-loader

Install from source (local repo):

uv sync --group dev
uv run maturin develop --features pyo3

Rust

Add dependency:

[dependencies]
pt-loader = "0.1"

Python Usage

Example:

from pt_loader import PtCheckpoint

ckpt = PtCheckpoint.load("samples/yolo26n.pt")
print(ckpt.metadata()["tensor_count"])

result = ckpt.export(format="safetensors", dir="out")
print(result["weights_path"])

tensors = ckpt.state_dict(backend="numpy")
print(next(iter(tensors.values())).shape)

Rust Usage

use pt_loader::{ExportFormat, ExportOptions, LoadOptions, PtCheckpoint};
use std::path::Path;

let input = "samples/yolo26n.pt";
let ckpt = PtCheckpoint::load(input, LoadOptions::default())?;
let result = ckpt.export("out", ExportOptions::new(ExportFormat::Safetensors, Some(Path::new(input))))?;
println!("{}", result.weights_path.display());

Development

cargo test
cargo check --features pyo3
uv run pytest -q