What are the hardware requirements for Naberius 7B?

Naberius 7B requires approximately 29 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 Naberius 7B and how large is it?

Naberius 7B is developed by CalderaAI, 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 Naberius 7B?

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

Naberius 7B by CalderaAI — VRAM 29GB, 32K context

Name: Naberius 7B
Author: CalderaAI

Naberius 7B is an open-source language model by CalderaAI. Features: 7b LLM, VRAM: 29GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.09.

7b Dolphin En Hermes Llama Llama2 Merge Mistral Mix Naberius Openhermes Pytorch Region:us Safetensors Sharded Slerp Spherical linear interpolation... Tensorflow Uncensored Zephyr

Model Card on HF 🤗: https://huggingface.co/CalderaAI/Naberius-7B

Naberius 7B Parameters and Internals

Model Type

Uncensored, Pliant, Logic-Based, Imaginative, Instruct-Based

Use Cases

Areas:

Research, Entertainment

Additional Notes

Naberius can perform tasks that feel like a model with much larger parameters, can engage in unrestricted creative tasks.

Supported Languages

en (unknown)

Training Details

Methodology:

Spherical Linear Interpolation

LLM Name	Naberius 7B
Repository 🤗	https://huggingface.co/CalderaAI/Naberius-7B
Model Size	7b
Required VRAM	29 GB
Updated	2026-08-18
Maintainer	CalderaAI
Model Type	mistral
Model Files	20.8 GB: 1-of-2 8.2 GB: 2-of-2 20.8 GB: 1-of-2 8.2 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.1
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32002
Torch Data Type	float32

Rank the Naberius 7B 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 Naberius 7B

Model	Likes	Downloads	VRAM
Naberius 7B GGUF	12	260	3 GB
Naberius 7B AWQ	2	68	4 GB
Naberius 7B GPTQ	3	0	4 GB

Best Alternatives to Naberius 7B

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 CalderaAI/Naberius-7B.