What are the hardware requirements for Bruphin Epsilon?

Bruphin Epsilon 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 Bruphin Epsilon and how large is it?

Bruphin Epsilon is developed by nbeerbower, a model with 7.2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Bruphin Epsilon perform on standard benchmarks?

Bruphin Epsilon has the following published scores: MMLU 65.04. Compare against reference models on this page or on the LLM Explorer leaderboards.

Bruphin Epsilon by nbeerbower — VRAM 14.4GB, 32K context

Name: Bruphin Epsilon
Author: nbeerbower

Bruphin Epsilon is an open-source language model by nbeerbower. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.11, Arc: 72.1, HellaSwag: 88.1, MMLU: 65, GSM8K: 70.5.

Merged Model Base model:barryfutureman/wild... Base model:nbeerbower/bruphin-... Conversational Endpoints compatible Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nbeerbower/bruphin-epsilon

Bruphin Epsilon Parameters and Internals

Model Type

text-generation

Additional Notes

This model was created using the SLERP merge method and includes merge details and configuration that specifies the layer range and parameters.

LLM Name	Bruphin Epsilon
Repository 🤗	https://huggingface.co/nbeerbower/bruphin-epsilon
Base Model(s)	WildMarcoroni Variant1 7B Bruphin Delta BarryFutureman/WildMarcoroni-Variant1-7B nbeerbower/bruphin-delta
Merged Model	Yes
Model Size	7.2b
Required VRAM	14.4 GB
Updated	2026-07-22
Maintainer	nbeerbower
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Bruphin Epsilon 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 nbeerbower/bruphin-epsilon.