What are the hardware requirements for Hermes 2 Theta Llama 3 8B AWQ?

Hermes 2 Theta Llama 3 8B AWQ requires approximately 5.8 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 Hermes 2 Theta Llama 3 8B AWQ and how large is it?

Hermes 2 Theta Llama 3 8B AWQ is developed by solidrust, a model with 8b 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 Hermes 2 Theta Llama 3 8B AWQ?

Hermes 2 Theta Llama 3 8B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hermes 2 Theta Llama 3 8B AWQ by solidrust — VRAM 5.8GB, 8K context

Name: Hermes 2 Theta Llama 3 8B AWQ
Author: solidrust

Hermes 2 Theta Llama 3 8B AWQ is an open-source language model by solidrust. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, Quantized, LLM Explorer Score: 0.12.

4-bit Autotrain compatible Awq Base model:nousresearch/hermes... Base model:quantized:nousresea... Conversational Endpoints compatible Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/solidrust/Hermes-2-Theta-Llama-3-8B-AWQ

Hermes 2 Theta Llama 3 8B AWQ Parameters and Internals

Model Type

text generation

Additional Notes

Supports 4-bit AWQ quantization, providing efficient and high-speed inference.

Input Output

Input Format:

text input transformable by tokenizer to prompt

Accepted Modalities:

text

Output Format:

generated text

Performance Tips:

Use NVidia GPUs and latest software versions for best results.

LLM Name	Hermes 2 Theta Llama 3 8B AWQ
Repository 🤗	https://huggingface.co/solidrust/Hermes-2-Theta-Llama-3-8B-AWQ
Base Model(s)	Hermes 2 Theta Llama 3 8B NousResearch/Hermes-2-Theta-Llama-3-8B
Model Size	8b
Required VRAM	5.8 GB
Updated	2026-07-17
Maintainer	solidrust
Model Type	llama
Model Files	4.7 GB: 1-of-2 1.1 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Hermes 2 Theta Llama 3 8B 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

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...8B Instruct Gradient 1048K AWQ	1024K / 5.8 GB	8	0
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...ta Llama 3 8B Instruct 64K AWQ	64K / 5.8 GB	6	0
... Instruct 8B 32K V0.1 4bit AWQ	64K / 5.8 GB	9	0
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Note: green Score (e.g. "73.2") means that the model is better than solidrust/Hermes-2-Theta-Llama-3-8B-AWQ.