--- base_model: gustavecortal/Beck-8B base_model_relation: quantized quantized_by: ArtusDev license: mit datasets: - gustavecortal/PsychologicalReasoning-15k - Psychotherapy-LLM/PsychoCounsel-Preference language: - en pipeline_tag: text-generation tags: - philosophy - psychology - reasoning - social - emotion - psychotherapy - exl3 ---
EXL3 quants of gustavecortal/Beck-8B 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/gustavecortal_Beck-8B-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