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Kaiju 11B by Himitsui

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Kaiju 11B is an open-source language model by Himitsui. Features: 11b LLM, VRAM: 21.4GB, Context: 4K, License: cc-by-nc-4.0, HF Score: 72.8, LLM Explorer Score: 0.13, Arc: 70, HellaSwag: 87.7, MMLU: 66.8, TruthfulQA: 62.2, WinoGrande: 83.5, GSM8K: 66.8.

  En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Himitsui/Kaiju-11B 

Kaiju 11B Benchmarks

ARC: 69.97 vs 96.7 (so35)-27.6%
HellaSwag: 87.72 vs 95.3 (gpt4)-8%
MMLU: 66.79 vs 88.3 (so35)-24.4%
TruthfulQA: 62.15 vs 59 (gpt4)5.3%
WinoGrande: 83.5 vs 87.5 (gpt4)-4.6%
GSM8K: 66.79 vs 96.4 (so35)-30.7%
LLME Score: 0.12831
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kaiju 11B (Himitsui/Kaiju-11B)
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Kaiju 11B Parameters and Internals

Additional Notes 
The model is an experiment with a focus on reducing specific biases present in its predecessors. It is based on a collaboration with Gryphe's MergeMonster and influences from models like Sao10K, Kuromitsu, and Instruct-Uncensored.
Training Details 
Methodology:
This model was created by merging multiple models using MergeMonster, specifically to reduce 'GPT-isms' or biases like positivity bias and 'slop' in roleplays.
LLM NameKaiju 11B
Repository 🤗https://huggingface.co/Himitsui/Kaiju-11B 
Model Size11b
Required VRAM21.4 GB
Updated2026-04-11
MaintainerHimitsui
Model Typellama
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Himitsui/Kaiju-11B.

Rank the Kaiju 11B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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