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

Llama 3 SauerkrautLM 70B Instruct GPTQ requires approximately 39.8 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 and how large is it?

Llama 3 SauerkrautLM 70B Instruct GPTQ 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?

Llama 3 SauerkrautLM 70B Instruct GPTQ 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 by cortecs — VRAM 39.8GB, 8K context

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

Llama 3 SauerkrautLM 70B Instruct GPTQ is an open-source language model by cortecs. Features: 70b LLM, VRAM: 39.8GB, Context: 8K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

4-bit 4bit Conversational Dataset:leolm/wikitext-en-de Endpoints compatible Gptq Instruct Llama Quantized Region:us

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

Llama 3 SauerkrautLM 70B Instruct GPTQ Parameters and Internals

Model Type

Text Generation

Use Cases

Areas:

Research, Potential commercial applications

Primary Use Cases:

Text generation, Multimodal applications

Additional Notes

Evaluation limit at 1000 using Eval. Harness.

Supported Languages

English (Proficient), German (Proficient)

Safety Evaluation

Ethical Considerations:

We did not check for data contamination.

Input Output

Input Format:

Text prompt

Accepted Modalities:

Text

Output Format:

Text completion

LLM Name	Llama 3 SauerkrautLM 70B Instruct GPTQ
Repository 🤗	https://huggingface.co/cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ
Base Model(s)	...ma 3 SauerkrautLM 70B Instruct VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct
Model Size	70b
Required VRAM	39.8 GB
Updated	2026-05-31
Maintainer	cortecs
Model Type	llama
Instruction-Based	Yes
Model Files	39.8 GB
GPTQ Quantization	Yes
Quantization Type	gptq\|4bit
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 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

Best Alternatives to Llama 3 SauerkrautLM 70B Instruct GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	517	6
...B Instruct AutoRound GPTQ 4bit	128K / 39.9 GB	129	0
...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.