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Karnak 6B V1.0 by Applied-Innovation-Center

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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: 0.29.

  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 Benchmarks

LLME Score: 0.28562
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Karnak 6B V1.0 (Applied-Innovation-Center/Karnak-6B-v1.0)
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Karnak 6B V1.0 Parameters and Internals

LLM NameKarnak 6B V1.0
Repository 🤗https://huggingface.co/Applied-Innovation-Center/Karnak-6B-v1.0 
Model NameKarnak-6B-v1.0
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM11.9 GB
Updated2026-06-30
MaintainerApplied-Innovation-Center
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   1.9 GB: 3-of-3
Supported Languagesar en
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.6.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size192728
Errorsreplace

Best Alternatives to Karnak 6B V1.0

Best Alternatives
Context / RAM
Downloads
Likes
FastContext 1.0 4B SFT256K / 8.1 GB5735357
Qwen3 4B Instruct 2507256K / 8.1 GB5455321886
FastContext 1.0 4B RL256K / 8.1 GB455961
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB84028179
Agents K1256K / 8.8 GB72522
CyberSecQwen 4B256K / 8 GB61614
Qwen3 4B Elderly Sft Merged256K / 8.1 GB3780
Jan Code 4B256K / 8.9 GB41778
Jan V3.5 4B256K / 8.9 GB45318
Qwen3 4B Instruct 2507256K / 8.1 GB2484826
Note: green Score (e.g. "73.2") means that the model is better than Applied-Innovation-Center/Karnak-6B-v1.0.

Rank the Karnak 6B V1.0 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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