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

Llama 3 SauerkrautLM 8B Instruct AWQ requires approximately 5.7 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 8B Instruct AWQ and how large is it?

Llama 3 SauerkrautLM 8B Instruct AWQ is developed by mayflowergmbh, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 3 SauerkrautLM 8B Instruct AWQ perform on standard benchmarks?

Llama 3 SauerkrautLM 8B Instruct AWQ has the following published scores: MMLU 68.07. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3 SauerkrautLM 8B Instruct AWQ by mayflowergmbh — VRAM 5.7GB, 8K context

Name: Llama 3 SauerkrautLM 8B Instruct AWQ
Author: mayflowergmbh

Llama 3 SauerkrautLM 8B Instruct AWQ is an open-source language model by mayflowergmbh. Features: 8b LLM, VRAM: 5.7GB, Context: 8K, Quantized, Instruction-Based, LLM Explorer Score: 0.13, Arc: 73.7, HellaSwag: 89.4, MMLU: 68.1, GSM8K: 65.

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

Model Card on HF 🤗: https://huggingface.co/mayflowergmbh/Llama-3-SauerkrautLM-8b-Instruct-AWQ

Llama 3 SauerkrautLM 8B Instruct AWQ Parameters and Internals

LLM Name	Llama 3 SauerkrautLM 8B Instruct AWQ
Repository 🤗	https://huggingface.co/mayflowergmbh/Llama-3-SauerkrautLM-8b-Instruct-AWQ
Base Model(s)	...ama 3 SauerkrautLM 8B Instruct VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
Model Size	8b
Required VRAM	5.7 GB
Updated	2026-07-31
Maintainer	mayflowergmbh
Model Type	llama
Instruction-Based	Yes
Model Files	5.7 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3 SauerkrautLM 8B Instruct AWQ 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 8B Instruct AWQ

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...8B Instruct Gradient 1048K AWQ	1024K / 5.8 GB	8	0
...radient 1048K AWQ 4bit Smashed	1024K / 5.8 GB	7	1
...Instruct 262K AWQ 4bit Smashed	256K / 5.8 GB	5	4
...ta Llama 3 8B Instruct 64K AWQ	64K / 5.8 GB	6	0
... Instruct 8B 32K V0.1 4bit AWQ	64K / 5.8 GB	13	0
Llama 3 8B Instruct AWQ	8K / 5.8 GB	25458	31
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	6	0
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	563	0
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	7	0
Meta Llama 3 8B Instruct AWQ	8K / 5.8 GB	401	5

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