meta-llama/Llama-4-Scout-17B-16E-Instruct, UQFF quantization
Run with mistral.rs. Documentation: UQFF docs.
- Flexible 🌀: Multiple quantization formats in one file format with one framework to run them all.
- Reliable 🔒: Compatibility ensured with embedded and checked semantic versioning information from day 1.
- Easy 🤗: Download UQFF models easily and quickly from Hugging Face, or use a local file.
- Customizable 🛠️: Make and publish your own UQFF files in minutes.
Examples
Note: If you are using an Apple Silicon device (on Metal), prefer using an 🔥 AFQ quantization for best performance!
| Quantization type(s) | Example |
|---|---|
| Q4K | ./mistralrs-server -i vision-plain -m EricB/Llama-4-Scout-17B-16E-Instruct-UQFF -a llama4 --from-uqff "llama4-scout-instruct-q4k-0.uqff;llama4-scout-instruct-q4k-1.uqff;llama4-scout-instruct-q4k-2.uqff;llama4-scout-instruct-q4k-3.uqff;llama4-scout-instruct-q4k-4.uqff;llama4-scout-instruct-q4k-5.uqff;llama4-scout-instruct-q4k-6.uqff" |
| AFQ4 | Coming soon! |
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Base model
meta-llama/Llama-4-Scout-17B-16E