What are the hardware requirements for OpenHermes 2.5 Mistral 7B Marlin?

OpenHermes 2.5 Mistral 7B Marlin requires approximately 4.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OpenHermes 2.5 Mistral 7B Marlin and how large is it?

OpenHermes 2.5 Mistral 7B Marlin is developed by neuralmagic, a model with 7b 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 OpenHermes 2.5 Mistral 7B Marlin?

OpenHermes 2.5 Mistral 7B Marlin is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OpenHermes 2.5 Mistral 7B Marlin by neuralmagic — VRAM 4.1GB, 32K context

Name: OpenHermes 2.5 Mistral 7B Marlin
Author: neuralmagic

OpenHermes 2.5 Mistral 7B Marlin is an open-source language model by neuralmagic. Features: 7b LLM, VRAM: 4.1GB, Context: 32K, Quantized, LLM Explorer Score: 0.12.

Arxiv:2210.17323 4-bit Autotrain compatible Base model:quantized:teknium/o... Base model:teknium/openhermes-... Conversational Endpoints compatible Gptq Int4 Marlin Mistral Nm-vllm Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/neuralmagic/OpenHermes-2.5-Mistral-7B-marlin

OpenHermes 2.5 Mistral 7B Marlin Parameters and Internals

Model Type

mistral

Additional Notes

The model is optimized for use with the nm-vllm serving engine and quantized using GPTQ for efficient 4-bit inference in the Marlin format.

LLM Name	OpenHermes 2.5 Mistral 7B Marlin
Repository 🤗	https://huggingface.co/neuralmagic/OpenHermes-2.5-Mistral-7B-marlin
Base Model(s)	teknium/OpenHermes-2.5-Mistral-7B teknium/OpenHermes-2.5-Mistral-7B
Model Size	7b
Required VRAM	4.1 GB
Updated	2025-04-08
Maintainer	neuralmagic
Model Type	mistral
Model Files	4.1 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32002
Torch Data Type	float16

Rank the OpenHermes 2.5 Mistral 7B Marlin 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

Best Alternatives to OpenHermes 2.5 Mistral 7B Marlin

Best Alternatives	Context / RAM	Downloads	Likes
...enHermes 2.5 Mistral 7B Marlin	32K / 4.1 GB	6	2
Zephyr 7B Beta Marlin	32K / 4.1 GB	16	0
Mistral 7B Instruct V0.3 GPTQ	32K / 4.2 GB	113881	1
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2946	18
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2658	25
Mistral 7B Instruct V0.2 GPTQ	32K / 4.2 GB	6743	56
...istral 7B Pruned50 GPTQ Marlin	32K / 4 GB	5	0
Cosmosage V2	32K / 4.2 GB	8	4
Mistral 7B Unsloth Gptq 8bit	32K / 7.7 GB	7	0
...phyr 7B Beta Assistant V1 Gptq	32K / 4.2 GB	2	1

Note: green Score (e.g. "73.2") means that the model is better than neuralmagic/OpenHermes-2.5-Mistral-7B-marlin.