What are the hardware requirements for Nous Hermes Llama2 70B AWQ?

Nous Hermes Llama2 70B AWQ requires approximately 36.6 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nous Hermes Llama2 70B AWQ and how large is it?

Nous Hermes Llama2 70B AWQ is developed by TheBloke, 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 Nous Hermes Llama2 70B AWQ?

Nous Hermes Llama2 70B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nous Hermes Llama2 70B AWQ by TheBloke — VRAM 36.6GB, 4K context

Name: Nous Hermes Llama2 70B AWQ
Author: TheBloke

Nous Hermes Llama2 70B AWQ is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 36.6GB, Context: 4K, License: mit, Quantized, LLM Explorer Score: 0.09.

4-bit Awq Base model:nousresearch/nous-h... Base model:quantized:nousresea... Distillation En Llama Llama2 Quantized Region:us Safetensors Self-instruct Sharded Synthetic instruction Tensorflow

Model Card on HF 🤗: https://huggingface.co/TheBloke/Nous-Hermes-Llama2-70B-AWQ

Nous Hermes Llama2 70B AWQ Parameters and Internals

Model Type

llama

Additional Notes

Model provides long responses and lower hallucination rates.

Training Details

Data Sources:

GPTeacher, the general, roleplay v1&2, code instruct datasets, Nous Instruct, PDACTL (unpublished)

Methodology:

fine-tuning

Context Length:

4096

Hardware Used:

8x H100 80GB machine

Input Output

Input Format:

### Instruction: {prompt} ### Response:

LLM Name	Nous Hermes Llama2 70B AWQ
Repository 🤗	https://huggingface.co/TheBloke/Nous-Hermes-Llama2-70B-AWQ
Model Name	Nous Hermes Llama2 70B
Model Creator	NousResearch
Base Model(s)	Nous Hermes Llama2 70B NousResearch/Nous-Hermes-Llama2-70b
Model Size	70b
Required VRAM	36.6 GB
Updated	2026-08-08
Maintainer	TheBloke
Model Type	llama
Model Files	9.9 GB: 1-of-4 9.9 GB: 2-of-4 9.9 GB: 3-of-4 6.9 GB: 4-of-4
Supported Languages	en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	mit
Context Length	4096
Model Max Length	4096
Transformers Version	4.32.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32001
Torch Data Type	float16

Rank the Nous Hermes Llama2 70B 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

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nous-Hermes-Llama2-70B-AWQ.