--- base_model: yanolja/YanoljaNEXT-Rosetta-12B-2510 base_model_relation: quantized quantized_by: ArtusDev tags: - translation - exl3 license: gemma language: - ar - bg - zh - cs - da - nl - en - fi - fr - de - el - gu - he - hi - hu - id - it - ja - ko - fa - pl - pt - ro - ru - sk - es - sv - tl - th - tr - uk - vi ---
EXL3 quants of yanolja/YanoljaNEXT-Rosetta-12B-2510 using exllamav3 for quantization.
| Quant | BPW | Head Bits |
|---|---|---|
| 2.5_H6 | 2.5 | 6 |
| 3.0_H6 | 3.0 | 6 |
| 3.5_H6 | 3.5 | 6 |
| 4.0_H6 | 4.0 | 6 |
| 4.5_H6 | 4.5 | 6 |
| 5.0_H6 | 5.0 | 6 |
| 6.0_H6 | 6.0 | 6 |
| 8.0_H8 | 8.0 | 8 |
You can download quants by targeting specific size using the Hugging Face CLI.
pip install -U "huggingface_hub[cli]"
2. Download a specific quant:
huggingface-cli download ArtusDev/yanolja_YanoljaNEXT-Rosetta-12B-2510-EXL3 --revision "5.0bpw_H6" --local-dir ./
EXL3 quants can be run with any inference client that supports EXL3, such as TabbyAPI. Refer to documentation for set up instructions.
Made possible with cloud compute from lium.io