What are the hardware requirements for OpenHermes 7B Symbolic?

OpenHermes 7B Symbolic requires approximately 14.4 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 7B Symbolic and how large is it?

OpenHermes 7B Symbolic is developed by hedronstone, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does OpenHermes 7B Symbolic perform on standard benchmarks?

OpenHermes 7B Symbolic has the following published scores: MMLU 62.62. Compare against reference models on this page or on the LLM Explorer leaderboards.

OpenHermes 7B Symbolic by hedronstone — VRAM 14.4GB, 32K context

Name: OpenHermes 7B Symbolic
Author: hedronstone

OpenHermes 7B Symbolic is an open-source language model by hedronstone. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12, Arc: 63.1, HellaSwag: 82.7, MMLU: 62.6, GSM8K: 53.5.

Conversational Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/hedronstone/OpenHermes-7B-Symbolic

OpenHermes 7B Symbolic Parameters and Internals

Training Details

Data Volume:

93K comprehensive and meticulously curated samples

Methodology:

fine-tuned on 93K comprehensive and meticulously curated samples structured to facilitate the model's understanding and generation of complex, hierarchical ICD medical coding system

LLM Name	OpenHermes 7B Symbolic
Repository 🤗	https://huggingface.co/hedronstone/OpenHermes-7B-Symbolic
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-07
Maintainer	hedronstone
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	32002
Torch Data Type	float16

Rank the OpenHermes 7B Symbolic 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

Quantized Models of the OpenHermes 7B Symbolic

Model	Likes	Downloads	VRAM
OpenHermes 7B Symbolic GGUF	0	93	2 GB

Best Alternatives to OpenHermes 7B Symbolic

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than hedronstone/OpenHermes-7B-Symbolic.