What are the hardware requirements for Austral 70B Winton?

Austral 70B Winton requires approximately 141.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Austral 70B Winton and how large is it?

Austral 70B Winton is developed by Delta-Vector, a model with 70b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Austral 70B Winton?

Austral 70B Winton is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Austral 70B Winton by Delta-Vector — VRAM 141.9GB, 128K context

Name: Austral 70B Winton
Author: Delta-Vector

Austral 70B Winton is an open-source language model by Delta-Vector. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

70b Adventure Axolotl Base model:delta-vector/austra... Base model:finetune:delta-vect... Conversational Creative-writing Dataset:delta-vector/tauri-ife... Dataset:delta-vector/tauri-kto... Dataset:delta-vector/tauri-lit... Dataset:delta-vector/tauri-opu... Dataset:neweden/helpsteer-3-ed... Dataset:neweden/helpsteer-3-pr... Dataset:neweden/opus-accepted-... Dataset:neweden/purpura-arkhai... En Endpoints compatible Finetuned Instruct Kto Llama Region:us Rl Roleplay Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Delta-Vector/Austral-70B-Winton

Austral 70B Winton Parameters and Internals

LLM Name	Austral 70B Winton
Repository 🤗	https://huggingface.co/Delta-Vector/Austral-70B-Winton
Base Model(s)	Austral 70B Preview Delta-Vector/Austral-70B-Preview
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-08-14
Maintainer	Delta-Vector
Model Type	llama
Instruction-Based	Yes
Model Files	4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.1 GB: 30-of-30
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Austral 70B Winton capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

Best Alternatives to Austral 70B Winton

Best Alternatives	Context / RAM	Downloads	Likes
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	7684	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	22	122
Llama3 Function Calling 1048K	1024K / 141.9 GB	5	1
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	24	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	20	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	10	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	5	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	21	3
Llama 3.1 70B Instruct	128K / 141.9 GB	813492	938

Note: green Score (e.g. "73.2") means that the model is better than Delta-Vector/Austral-70B-Winton.