What are the hardware requirements for KNK VF Lab 38B?

KNK VF Lab 38B requires approximately 76.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed KNK VF Lab 38B and how large is it?

KNK VF Lab 38B is developed by MagistrTheOne, a model with 38b 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 KNK VF Lab 38B?

KNK VF Lab 38B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

KNK VF Lab 38B by MagistrTheOne — VRAM 76.2GB, 128K context

Name: KNK VF Lab 38B
Author: MagistrTheOne

KNK VF Lab 38B is an open-source language model by MagistrTheOne. Features: 38b LLM, VRAM: 76.2GB, Context: 128K, License: other, LLM Explorer Score: 0.24.

Model Card on HF 🤗: https://huggingface.co/MagistrTheOne/KNK-VF-Lab-38B

KNK VF Lab 38B Parameters and Internals

LLM Name	KNK VF Lab 38B
Repository 🤗	https://huggingface.co/MagistrTheOne/KNK-VF-Lab-38B
Model Creator	NULLXES
Model Size	38b
Required VRAM	76.2 GB
Updated	2026-06-08
Maintainer	MagistrTheOne
Model Type	knk_vf
Model Files	8.6 GB: 1-of-9 8.6 GB: 2-of-9 8.6 GB: 3-of-9 8.6 GB: 4-of-9 8.6 GB: 5-of-9 8.6 GB: 6-of-9 8.6 GB: 7-of-9 8.6 GB: 8-of-9 7.4 GB: 9-of-9
Supported Languages	en ru
Model Architecture	KNKVFForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Vocabulary Size	128000
Torch Data Type	bfloat16

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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