Model Details
This model card is for mxfp8/mxfp4/mxfp4_mixed quantization of
meta-llama/Llama-3.3-70B-Instruct based on
intel/auto-round.
The models are not able to be published due to the license limitation. Please follow the INC example README to generate and evaluate the low precision models.
How to Use
The step-by-step README of quantization and evaluation can be found in
Intel Neural Compressor Examples.
Evaluate Results
| Task | backend | BF16 | MXFP8 | MXFP4(mixed) |
|---|
| hellaswag | vllm | 0.6661 | 0.6660 | 0.6567 |
| piqa | vllm | 0.8357 | 0.8324 | 0.8303 |
| mmlu_llama | vllm | 0.8336 | 0.8326 | 0.8291 |
| gsm8k_llama(strict) | vllm | 0.9492 | 0.9439 | 0.9416 |
| average | vllm | 0.8211 | 0.8187 | 0.8144 |
Ethical Considerations and Limitations
The model can produce factually incorrect output, and should not be relied on to produce factually accurate information.
Because of the limitations of the pretrained model and the finetuning datasets, it is possible that this model could generate lewd, biased or otherwise offensive outputs.
Therefore, before deploying any applications of the model, developers should perform safety testing.
Caveats and Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model.
Here are a couple of useful links to learn more about Intel's AI software:
Disclaimer
The license on this model does not constitute legal advice.
We are not responsible for the actions of third parties who use this model.
Please consult an attorney before using this model for commercial purposes.
