What are the hardware requirements for Nb Sau 7B 4K Step100k?

Nb Sau 7B 4K Step100k 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 Nb Sau 7B 4K Step100k and how large is it?

Nb Sau 7B 4K Step100k is developed by NbAiLab, 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 Nb Sau 7B 4K Step100k?

Nb Sau 7B 4K Step100k is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nb Sau 7B 4K Step100k by NbAiLab — VRAM 14.4GB, 32K context

Name: Nb Sau 7B 4K Step100k
Author: NbAiLab

Nb Sau 7B 4K Step100k is an open-source language model by NbAiLab. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.1.

Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Endpoints compatible Mistral Nb Nn No Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/NbAiLab/nb-sau-7b-4k-step100k

Nb Sau 7B 4K Step100k Parameters and Internals

Supported Languages

no ()

LLM Name	Nb Sau 7B 4K Step100k
Repository 🤗	https://huggingface.co/NbAiLab/nb-sau-7b-4k-step100k
Base Model(s)	mistralai/Mistral-7B-v0.1 mistralai/Mistral-7B-v0.1
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-27
Maintainer	NbAiLab
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2 9.9 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	no nn nb
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.1
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32001
Torch Data Type	float16

Rank the Nb Sau 7B 4K Step100k 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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...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 NbAiLab/nb-sau-7b-4k-step100k.