What are the hardware requirements for Llama 3 SauerkrautLM 70B Instruct GPTQ 8B?

Llama 3 SauerkrautLM 70B Instruct GPTQ 8B requires approximately 74.4 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 SauerkrautLM 70B Instruct GPTQ 8B and how large is it?

Llama 3 SauerkrautLM 70B Instruct GPTQ 8B is developed by cortecs, 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 Llama 3 SauerkrautLM 70B Instruct GPTQ 8B?

Llama 3 SauerkrautLM 70B Instruct GPTQ 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 SauerkrautLM 70B Instruct GPTQ 8B by cortecs — VRAM 74.4GB, 8K context

Name: Llama 3 SauerkrautLM 70B Instruct GPTQ 8B
Author: cortecs

Llama 3 SauerkrautLM 70B Instruct GPTQ 8B is an open-source language model by cortecs. Features: 70b LLM, VRAM: 74.4GB, Context: 8K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

8-bit 8bit Conversational Dataset:leolm/wikitext-en-de Endpoints compatible Gptq Instruct Llama Quantized Region:us Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ-8b

Llama 3 SauerkrautLM 70B Instruct GPTQ 8B Parameters and Internals

Model Type

text generation

Additional Notes

We did not check for data contamination. Evaluation was done using Eval Harness limit=1000.

LLM Name	Llama 3 SauerkrautLM 70B Instruct GPTQ 8B
Repository 🤗	https://huggingface.co/cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ-8b
Base Model(s)	...ma 3 SauerkrautLM 70B Instruct VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct
Model Size	70b
Required VRAM	74.4 GB
Updated	2026-08-01
Maintainer	cortecs
Model Type	llama
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-8 9.8 GB: 2-of-8 9.9 GB: 3-of-8 9.9 GB: 4-of-8 10.0 GB: 5-of-8 9.9 GB: 6-of-8 9.9 GB: 7-of-8 5.0 GB: 8-of-8
GPTQ Quantization	Yes
Quantization Type	gptq\|8bit
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3 SauerkrautLM 70B Instruct GPTQ 8B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

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...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	517	6
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...ama 3.1 70B Instruct Gptq 4bit	128K / 39.9 GB	7	4
...ta Llama 3 70B Instruct Marlin	8K / 39.5 GB	141	6
...ama 3 Taiwan 70B Instruct GPTQ	8K / 39.8 GB	6	2
Meta Llama 3 70B Instruct GPTQ	8K / 39.8 GB	905	16
Meta Llama 3 70B Instruct GPTQ	8K / 39.8 GB	763	19
...g Llama 3 70B Instruct GPTQ 4B	8K / 39.8 GB	6	0
...g Llama 3 70B Instruct GPTQ 8B	8K / 74.4 GB	3	1
...a Llama 3 70B Instruct GPTQ 8B	8K / 74.4 GB	17	0

Note: green Score (e.g. "73.2") means that the model is better than cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ-8b.