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

Llama 3 SauerkrautLM 70B Instruct AWQ requires approximately 39.9 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 AWQ and how large is it?

Llama 3 SauerkrautLM 70B Instruct AWQ is developed by tresiwalde, 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 AWQ?

Llama 3 SauerkrautLM 70B Instruct AWQ 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 AWQ by tresiwalde — VRAM 39.9GB, 8K context

Name: Llama 3 SauerkrautLM 70B Instruct AWQ
Author: tresiwalde

Llama 3 SauerkrautLM 70B Instruct AWQ is an open-source language model by tresiwalde. Features: 70b LLM, VRAM: 39.9GB, Context: 8K, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

4-bit Awq Conversational Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow

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

Llama 3 SauerkrautLM 70B Instruct AWQ Parameters and Internals

LLM Name	Llama 3 SauerkrautLM 70B Instruct AWQ
Repository 🤗	https://huggingface.co/tresiwalde/Llama-3-SauerkrautLM-70b-Instruct-AWQ
Base Model(s)	...ma 3 SauerkrautLM 70B Instruct VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct
Model Size	70b
Required VRAM	39.9 GB
Updated	2026-05-13
Maintainer	tresiwalde
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-9 4.9 GB: 2-of-9 4.9 GB: 3-of-9 4.9 GB: 4-of-9 4.9 GB: 5-of-9 4.9 GB: 6-of-9 4.9 GB: 7-of-9 3.4 GB: 8-of-9 2.1 GB: 9-of-9
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3 SauerkrautLM 70B Instruct AWQ 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
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Llama 3 SauerkrautLM 70B Instruct AWQ

Best Alternatives	Context / RAM	Downloads	Likes
...0B Instruct Gradient 1048K AWQ	1024K / 39.9 GB	5	1
...70B Instruct Gradient 262K AWQ	256K / 39.9 GB	5	0
Llama 3.3 70B Instruct AWQ	128K / 39.9 GB	262002	46
...lama 3.3 70B Instruct AWQ INT4	128K / 39.9 GB	82744	30
Llama 3.3 70B Instruct AWQ	128K / 39.9 GB	16090	12
... SauerkrautLM 70B Instruct AWQ	128K / 39.9 GB	5	5
Llama 3 70B Instruct AWQ	8K / 39.9 GB	122175	71
Meta Llama 3 70B Instruct AWQ	8K / 39.9 GB	8	1
Llama 3 70B Instruct AWQ	8K / 39.9 GB	17	1
... Llama 3 70B Instruct AWQ GEMM	8K / 39.9 GB	6	0

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