What are the hardware requirements for Nous Hermes 2 Yi 34B 5.0bpw H6 EXL2?

Nous Hermes 2 Yi 34B 5.0bpw H6 EXL2 requires approximately 22.2 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 5.0bpw H6 EXL2 and how large is it?

Nous Hermes 2 Yi 34B 5.0bpw H6 EXL2 is developed by LoneStriker, 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 5.0bpw H6 EXL2?

Nous Hermes 2 Yi 34B 5.0bpw H6 EXL2 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 5.0bpw H6 EXL2 by LoneStriker — VRAM 22.2GB, 4K context

Name: Nous Hermes 2 Yi 34B 5.0bpw H6 EXL2
Author: LoneStriker

Nous Hermes 2 Yi 34B 5.0bpw H6 EXL2 is an open-source language model by LoneStriker. Features: 34b LLM, VRAM: 22.2GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

Base model:01-ai/yi-34b Base model:finetune:01-ai/yi-3... Chatml Conversational Distillation En Endpoints compatible Exl2 Finetuned Gpt4 Instruct Llama Quantized Region:us Safetensors Sharded Synthetic data Tensorflow Yi

Model Card on HF 🤗: https://huggingface.co/LoneStriker/Nous-Hermes-2-Yi-34B-5.0bpw-h6-exl2

Nous Hermes 2 Yi 34B 5.0bpw H6 EXL2 Parameters and Internals

Model Type

instruction, fine-tune, chat, synthetic data, distillation

Supported Languages

en (English)

Training Details

Data Sources:

GPT-4 generated data, open datasets

Data Volume:

1,000,000 entries

Input Output

Input Format:

ChatML

Accepted Modalities:

text

Output Format:

structured dialogue

LLM Name	Nous Hermes 2 Yi 34B 5.0bpw H6 EXL2
Repository 🤗	https://huggingface.co/LoneStriker/Nous-Hermes-2-Yi-34B-5.0bpw-h6-exl2
Base Model(s)	Yi 34B 01-ai/Yi-34B
Model Size	34b
Required VRAM	22.2 GB
Updated	2026-08-04
Maintainer	LoneStriker
Model Type	llama
Model Files	8.5 GB: 1-of-3 8.6 GB: 2-of-3 5.1 GB: 3-of-3
Supported Languages	en
Quantization Type	exl2
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the Nous Hermes 2 Yi 34B 5.0bpw H6 EXL2 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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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Nous-Hermes-2-Yi-34B-5.0bpw-h6-exl2.