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metadata
base_model: Delta-Vector/Austral-70B-Preview
base_model_relation: quantized
quantized_by: ArtusDev
license: llama3.3
language:
  - en
library_name: transformers
datasets:
  - PocketDoc/Dans-Personamaxx-VN
  - NewEden/LIMARP-Complexity
  - NewEden/PIPPA-Mega-Filtered
  - NewEden/OpenCAI-ShareGPT
  - NewEden/Creative_Writing-Complexity
  - NewEden/Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removed
  - PocketDoc/Dans-Failuremaxx-Adventure-3
  - NewEden/Books-V2-ShareGPT
  - NewEden/Deepseek-V3-RP-Filtered
  - NewEden/BlueSky-10K-Complexity
  - NewEden/Final-Alpindale-LNs-ShareGPT
  - NewEden/DeepseekRP-Filtered
  - NewEden/RP-logs-V2-Experimental
  - anthracite-org/kalo_opus_misc_240827
  - anthracite-org/kalo_misc_part2
  - NewEden/vanilla-backrooms-claude-sharegpt
  - NewEden/Storium-Prefixed-Clean
tags:
  - roleplay
  - finetune
  - axolotl
  - creative-writing
  - 70B
  - llama
  - exl3

EXL3 Quants of Delta-Vector/Austral-70B-Preview

EXL3 quants of Delta-Vector/Austral-70B-Preview using exllamav3 for quantization.

Quants

Quant(Revision) Bits per Weight Head Bits
2.5_H6 2.5 6
3.0_H6 3.0 6
3.25_H6 3.25 6
3.5_H6 3.5 6
4.0_H6 4.0 6
4.25_H6 4.25 6
4.5_H6 4.5 6
5.0_H6 5.0 6
6.0_H6 6.0 6
8.0_H6 8.0 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-70B-Preview-EXL3 --revision "5bpw_H6" --local-dir ./