What are the hardware requirements for Karnak 6B V1.0?

Karnak 6B V1.0 requires approximately 11.9 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 6B V1.0 and how large is it?

Karnak 6B V1.0 is developed by Applied-Innovation-Center, a model with 4b 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 6B V1.0?

Karnak 6B V1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Karnak 6B V1.0 by Applied-Innovation-Center — VRAM 11.9GB, 256K context

Name: Karnak 6B V1.0
Author: Applied-Innovation-Center

Karnak 6B V1.0 is an open-source language model by Applied-Innovation-Center. Features: 4b LLM, VRAM: 11.9GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.27.

Ar Arabic Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr... Conversational Depth-extension En English Instruct Karnak-6b-v1.0 Pytorch Qwen Qwen3 Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/Applied-Innovation-Center/Karnak-6B-v1.0

Karnak 6B V1.0 Parameters and Internals

LLM Name	Karnak 6B V1.0
Repository 🤗	https://huggingface.co/Applied-Innovation-Center/Karnak-6B-v1.0
Model Name	Karnak-6B-v1.0
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	11.9 GB
Updated	2026-08-18
Maintainer	Applied-Innovation-Center
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 1.9 GB: 3-of-3
Supported Languages	ar en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.6.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	192728
Errors	replace

Rank the Karnak 6B 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 6B V1.0

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Fable Traces	256K / 8.1 GB	398	210
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
...pt Full Qwen3 4b Instruct 2507	256K / 8 GB	365	1
Nexa AI 4B Instruct	256K / 8 GB	576	2
Neuron 4B Instruct	256K / 8.1 GB	313	1
Agents K1	256K / 8.8 GB	1098	28
FastContext 1.0 4B SFT	256K / 8.1 GB	273	18

Note: green Score (e.g. "73.2") means that the model is better than Applied-Innovation-Center/Karnak-6B-v1.0.