Instructions to use ArtusDev/Delta-Vector_Austral-32B-GLM4-Winton-EXL3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArtusDev/Delta-Vector_Austral-32B-GLM4-Winton-EXL3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArtusDev/Delta-Vector_Austral-32B-GLM4-Winton-EXL3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
base_model: Delta-Vector/Austral-32B-GLM4-Winton
base_model_relation: quantized
quantized_by: ArtusDev
license: apache-2.0
language:
- en
library_name: transformers
tags:
- roleplay
- finetune
- axolotl
- adventure
- creative-writing
- GLM4
- 32B
- exl3
datasets:
- Delta-Vector/Tauri-Rep-Remover-KTO
- Delta-Vector/Orion-LN-V1-ShareGPT
- Delta-Vector/Orion-Personamaxx-RP
- Delta-Vector/Orion-Co-Writer-51K
- Delta-Vector/Orion-Praxis-Co-Writer
- Delta-Vector/Orion-Shoujo-AI-Filtered-ShareGPT
- Delta-Vector/Orion-PIPPA-Cleaned-V2
- Delta-Vector/Orion-Alpindale-LN-ShareGPT
- Delta-Vector/Orion-Deepseek-V3-RP-Filtered
- Delta-Vector/Orion-Books-V2-ShareGPT
- >-
Delta-Vector/Orion-Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removed
- Delta-Vector/Orion-RP-Guild
- Delta-Vector/Orion-Creative_Writing-Complexity
- Delta-Vector/Orion-Deepseek-R1-RP-Filtered
- Delta-Vector/Orion-Storium-Prefixed-Clean
- Delta-Vector/Orion-Misc-Sharegpt-Prefixed
- Delta-Vector/Orion-LIMARP-Complexity
- Delta-Vector/Orion-BlueSky-10K-Complexity
- Delta-Vector/Orion-OpenCAI-ShareGPT
- Delta-Vector/Orion-Roleplay-Logs-Sharegpt-Ngram-cleaned
- Delta-Vector/Orion-vanilla-backrooms-claude-sharegpt
EXL3 Quants of Delta-Vector/Austral-32B-GLM4-Winton
EXL3 quants of Delta-Vector/Austral-32B-GLM4-Winton 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/Delta-Vector_Austral-32B-GLM4-Winton-EXL3 --revision "5.0bpw_H6" --local-dir ./