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

Nous Hermes 2 Yi 34B requires approximately 69.2 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 and how large is it?

Nous Hermes 2 Yi 34B is developed by NousResearch, a model with 34b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Nous Hermes 2 Yi 34B perform on standard benchmarks?

Nous Hermes 2 Yi 34B has the following published scores: MMLU 76.7. Compare against reference models on this page or on the LLM Explorer leaderboards.

Nous Hermes 2 Yi 34B by NousResearch — VRAM 69.2GB, 4K context

Name: Nous Hermes 2 Yi 34B
Author: NousResearch

Nous Hermes 2 Yi 34B is an open-source language model by NousResearch. Features: 34b LLM, VRAM: 69.2GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.15, Arc: 66.9, HellaSwag: 85.5, MMLU: 76.7, GSM8K: 70.1.

Base model:01-ai/yi-34b Base model:finetune:01-ai/yi-3... Chatml Conversational Dataset:teknium/openhermes-2.5 Deploy:azure Distillation En Endpoints compatible Finetuned Gpt4 Instruct Llama Region:us Safetensors Sharded Synthetic data Tensorflow Yi

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

Nous Hermes 2 Yi 34B Parameters and Internals

Model Type

instruct, finetune, chatml, gpt4, synthetic data, distillation

Additional Notes

Supports ChatML, enabling a more structured multi-turn chat dialogue. LM Studio recommended for quantized versions.

Supported Languages

en (English with possible proficiency levels across various tasks)

Training Details

Data Sources:

GPT-4 generated data, open datasets across the AI landscape

Data Volume:

1,000,000 entries

Input Output

Input Format:

ChatML

LLM Name	Nous Hermes 2 Yi 34B
Repository 🤗	https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B
Base Model(s)	Yi 34B 01-ai/Yi-34B
Model Size	34b
Required VRAM	69.2 GB
Updated	2026-08-05
Maintainer	NousResearch
Model Type	llama
Model Files	4.8 GB: 1-of-15 4.8 GB: 2-of-15 5.0 GB: 3-of-15 4.8 GB: 4-of-15 4.8 GB: 5-of-15 5.0 GB: 6-of-15 4.8 GB: 7-of-15 4.8 GB: 8-of-15 5.0 GB: 9-of-15 4.8 GB: 10-of-15 4.8 GB: 11-of-15 5.0 GB: 12-of-15 4.8 GB: 13-of-15 4.8 GB: 14-of-15 1.2 GB: 15-of-15
Supported Languages	en
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 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

Quantized Models of the Nous Hermes 2 Yi 34B

Model	Likes	Downloads	VRAM
Nous Hermes 2 Yi 34B Marlin	5	9	19 GB
Nous Hermes 2 Yi 34B GGUF	40	1336	14 GB
Nous Hermes 2 Yi 34B Marlin	5	7	19 GB
Nous Hermes 2 Yi 34B AWQ	7	132	19 GB
Nous Hermes 2 Yi 34B GPTQ	6	9	18 GB

Best Alternatives to Nous Hermes 2 Yi 34B

Best Alternatives	Context / RAM	Downloads	Likes
Bagel Hermes 34B Slerp	195K / 68.9 GB	8375	1
34B Beta	195K / 69.2 GB	8166	67
Smaug 34B V0.1	195K / 69.2 GB	8082	64
Casual Magnum 34B	195K / 68.8 GB	4	1
Yi 34B 200K	195K / 68.9 GB	8322	320
Bagel 34B V0.2	195K / 68.7 GB	259	41
Yi 34B 200K AEZAKMI V2	195K / 69.2 GB	57	12
Smaug 34B V0.1 ExPO	195K / 69.2 GB	7812	0
Faro Yi 34B	195K / 69.2 GB	8208	6
Bagel DPO 34B V0.5	195K / 68.7 GB	8040	17

Note: green Score (e.g. "73.2") means that the model is better than NousResearch/Nous-Hermes-2-Yi-34B.