What are the hardware requirements for Nart 7B?

Nart 7B requires approximately 27 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nart 7B and how large is it?

Nart 7B is developed by jerryjalapeno, 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 Nart 7B?

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

Nart 7B by jerryjalapeno — VRAM 27GB, 2K context

Name: Nart 7B
Author: jerryjalapeno

Nart 7B is an open-source language model by jerryjalapeno. Features: 7b LLM, VRAM: 27GB, Context: 2K, License: cc-by-nc-nd-4.0, LLM Explorer Score: 0.07.

Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jerryjalapeno/nart-7b

Nart 7B Parameters and Internals

LLM Name	Nart 7B
Repository 🤗	https://huggingface.co/jerryjalapeno/nart-7b
Model Size	7b
Required VRAM	27 GB
Updated	2026-07-05
Maintainer	jerryjalapeno
Model Type	llama
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 7.2 GB: 3-of-3 9.9 GB: 1-of-3 9.9 GB: 2-of-3 7.2 GB: 3-of-3 0.0 GB
Model Architecture	LlamaForCausalLM
License	cc-by-nc-nd-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Nart 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

Best Alternatives to Nart 7B

Best Alternatives	Context / RAM	Downloads
124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
A6 L	1024K / 16.1 GB	201
M	1024K / 16.1 GB	127
2 Very Sci Fi	1024K / 16.1 GB	317

Note: green Score (e.g. "73.2") means that the model is better than jerryjalapeno/nart-7b.