quark-torch-result-validator

Validate your Quark quantized model by parsing safetensors headers, checking auxiliary file copying, and comparing excluded tensor MD5 bytes. This file-system traversal confirms structural soundness without loading full weights into memory.

Checking safetensors header patterns involves parsing header metadata to summarize canonical tensor patterns and dtype counts. This quick integrity check verifies mixed-precision configurations in your quantized output.

Comparing config.json files involves deep-comparing source and quantized versions after stripping quantization-specific keys. This ensures configuration semantics remain equivalent between the original and exported models.

Verifying non-quantized tensor identity involves applying exclude rules to match unchanged weights, then comparing raw tensor bytes using MD5 spot checks. This confirms excluded weights were preserved correctly during export.

Quark export validation applies to post-export verification of PyTorch and ONNX model directories, shard files, and file2file quantization results. It checks auxiliary files, tensor identities, and config equivalence across these formats.

Validating auxiliary files after quantization confirms non-weight files like README, tokenizer assets, and helper documents were copied correctly to the quantized output, ensuring the exported model directory is complete and deployable.