metadata
base_model: soob3123/GrayLine-Qwen3-8B
base_model_relation: quantized
quantized_by: ArtusDev
pipeline_tag: text-generation
library_name: transformers
language:
- en
tags:
- text-generation
- uncensored
- direct-answer
- information-retrieval
- general-knowledge
- unfiltered
- amoral-ai
- exl3
datasets:
- soob3123/GrayLine-QA
- soob3123/GrayLine-QA-Reasoning
license: apache-2.0
EXL3 Quants of soob3123/GrayLine-Qwen3-8B
EXL3 quants of soob3123/GrayLine-Qwen3-8B using exllamav3 for quantization.
Quants
| Quant(Revision) | Bits per Weight | 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 |
Downloading quants with huggingface-cli
Click to view download instructions
Install hugginface-cli:
pip install -U "huggingface_hub[cli]"
Download quant by targeting the specific quant revision (branch):
huggingface-cli download ArtusDev/soob3123_GrayLine-Qwen3-8B-EXL3 --revision "5.0bpw_H6" --local-dir ./