What are the hardware requirements for Bruphin Gamma?

Bruphin Gamma 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 Gamma and how large is it?

Bruphin Gamma 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.

Where can I download or evaluate Bruphin Gamma?

Bruphin Gamma is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

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

Name: Bruphin Gamma
Author: nbeerbower

Bruphin Gamma 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: 0.1.

Merged Model Base model:jan-hq/supermario-v... Base model:nbeerbower/bruphin-... Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

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

Bruphin Gamma Parameters and Internals

Additional Notes

This model is a merge of pre-trained language models created using mergekit. ### Merge Details ### Merge Method: The model was merged using the SLERP merge method. ### Models Merged: The models included in the merge are nbeerbower/bruphin-beta and jan-hq/supermario-v2. ### Configuration: The model was configured using a YAML with specific parameters for layer ranges and merge filters.

LLM Name	Bruphin Gamma
Repository 🤗	https://huggingface.co/nbeerbower/bruphin-gamma
Base Model(s)	nbeerbower/bruphin-beta Supermario V2 nbeerbower/bruphin-beta jan-hq/supermario-v2
Merged Model	Yes
Model Size	7.2b
Required VRAM	14.4 GB
Updated	2026-07-24
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	<\|im_end\|>
Vocabulary Size	32001
Torch Data Type	float16

Rank the Bruphin Gamma 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

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/bruphin-gamma.