What are the hardware requirements for Karnak 40B V1.0?

Karnak 40B V1.0 requires approximately 81.4 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Karnak 40B V1.0 and how large is it?

Karnak 40B V1.0 is developed by Applied-Innovation-Center, a model with 30b 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 Karnak 40B V1.0?

Karnak 40B V1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Karnak 40B V1.0 by Applied-Innovation-Center — VRAM 81.4GB, 256K context

Name: Karnak 40B V1.0
Author: Applied-Innovation-Center

Karnak 40B V1.0 is an open-source language model by Applied-Innovation-Center. Features: 30b LLM, VRAM: 81.4GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.27.

Ar Arabic Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-30b-a3b-... Conversational Depth-extension En English Instruct Karnak Pytorch Qwen Qwen3 moe Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/Applied-Innovation-Center/Karnak-40B-v1.0

Karnak 40B V1.0 Parameters and Internals

LLM Name	Karnak 40B V1.0
Repository 🤗	https://huggingface.co/Applied-Innovation-Center/Karnak-40B-v1.0
Model Name	Karnak
Base Model(s)	Qwen3 30B A3B Instruct 2507 Qwen/Qwen3-30B-A3B-Instruct-2507
Model Size	30b
Required VRAM	81.4 GB
Updated	2026-09-04
Maintainer	Applied-Innovation-Center
Model Type	qwen3_moe
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-17 5.0 GB: 2-of-17 5.0 GB: 3-of-17 5.0 GB: 4-of-17 5.0 GB: 5-of-17 5.0 GB: 6-of-17 5.0 GB: 7-of-17 5.0 GB: 8-of-17 5.0 GB: 9-of-17 5.0 GB: 10-of-17 5.0 GB: 11-of-17 5.0 GB: 12-of-17 5.0 GB: 13-of-17 5.0 GB: 14-of-17 5.0 GB: 15-of-17 5.0 GB: 16-of-17 1.4 GB: 17-of-17
Supported Languages	ar en
Model Architecture	Qwen3MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	192728
Errors	replace

Rank the Karnak 40B V1.0 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 Karnak 40B V1.0

Best Alternatives	Context / RAM	Downloads	Likes
...LL MASTER CODER M 1million Ctx	1024K / 84.8 GB	140	10
Qwen3 30B A3B YOYO V3	986K / 61.1 GB	11	7
...07 YOYO2 TOTAL RECALL Instruct	986K / 84.8 GB	27	1
...07 YOYO2 TOTAL RECALL Instruct	986K / 106 GB	20	0
Qwen3 30B A3B YOYO V2	986K / 61.1 GB	19	4
Qwen3 Coder 30B A3B Instruct	256K / 61.1 GB	1746771	1168
Qwen3 30B A3B Instruct 2507	256K / 61.1 GB	3937	13
Qwen3 30B A3B Instruct 2507	256K / 61.1 GB	1903736	824
...en3 Coder 30B A3B Instruct FP8	256K / 31.2 GB	1556690	191
Lynx Instruct 30B	256K / 61.1 GB	223244	4

Note: green Score (e.g. "73.2") means that the model is better than Applied-Innovation-Center/Karnak-40B-v1.0.