What are the hardware requirements for Nous Hermes 2 Yi 34B GPTQ?

Nous Hermes 2 Yi 34B GPTQ requires approximately 18.6 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 2 Yi 34B GPTQ and how large is it?

Nous Hermes 2 Yi 34B GPTQ is developed by TheBloke, a model with 34b 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 2 Yi 34B GPTQ?

Nous Hermes 2 Yi 34B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nous Hermes 2 Yi 34B GPTQ by TheBloke — VRAM 18.6GB, 4K context

Name: Nous Hermes 2 Yi 34B GPTQ
Author: TheBloke

Nous Hermes 2 Yi 34B GPTQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 18.6GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

4-bit Base model:nousresearch/nous-h... Base model:quantized:nousresea... Chatml Conversational Distillation En Finetuned Gpt4 Gptq Instruct Llama Quantized Region:us Safetensors Synthetic data Yi

Model Card on HF 🤗: https://huggingface.co/TheBloke/Nous-Hermes-2-Yi-34B-GPTQ

Nous Hermes 2 Yi 34B GPTQ Parameters and Internals

Model Type

Additional Notes

Model was fine-tuned on a dataset including 1,000,000 GPT-4 generated entries.

Supported Languages

en (proficient)

Input Output

Input Format:

ChatML

Accepted Modalities:

text

Output Format:

text

LLM Name	Nous Hermes 2 Yi 34B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Nous-Hermes-2-Yi-34B-GPTQ
Model Name	Nous Hermes 2 Yi 34B
Model Creator	NousResearch
Base Model(s)	Nous Hermes 2 Yi 34B NousResearch/Nous-Hermes-2-Yi-34B
Model Size	34b
Required VRAM	18.6 GB
Updated	2026-08-02
Maintainer	TheBloke
Model Type	llama
Model Files	18.6 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the Nous Hermes 2 Yi 34B GPTQ 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-2-Yi-34B-GPTQ.