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Apertus-8B-Instruct-2509-W8A8-CALIBRATED
sevri/Apertus-8B-Instruct-2509-W8A8-CALIBRATED
Apertus-8B-Instruct-2509-W8A8-CALIBRATED is a machine learning model from sevri. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is an INT8 dynamically quantized version of swiss-ai/Apertus-8B-Instruct-2509 using llm-compressor.
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From the Hugging Face model README
Apertus-8B-Instruct-2509-W8A8-CALIBRATED
This is an INT8 dynamically quantized version of swiss-ai/Apertus-8B-Instruct-2509 using llm-compressor.
This version used the fineweb-edu-score-2 dataset for calibration.
Quantization Details
- Quantization Scheme: W8A8
- Method: Dynamic quantization of weights and activations to INT8 (W8A8) format using GPTQModifier
- Targets: All Linear layers
- Ignored Layers:
lm_head(kept in higher precision for better output quality) - Tool: llm-compressor
- Type
- apertus
- Created
- Dec 2, 2025
- Updated
- Dec 6, 2025