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Karasu Moe2 by aipib

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Karasu Moe2 is an open-source language model by aipib. Features: 1.1b LLM, VRAM: 7.5GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.13.

  Autotrain compatible Base model:lightblue/karasu-1.... Base model:merge:lightblue/kar... Base model:merge:yuiseki/karas... Base model:yuiseki/karasu-sake...   Endpoints compatible   Frankenmoe   Lazymergekit   Lightblue/karasu-1.1b   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow   Yuiseki/karasu-sake-qa-v0.1
Model Card on HF 🤗: https://huggingface.co/aipib/karasu-moe2 

Karasu Moe2 Benchmarks

LLME Score: 0.1311
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Karasu Moe2 (aipib/karasu-moe2)
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Karasu Moe2 Parameters and Internals

Model Type 
moe, frankenmoe
Additional Notes 
Karasu-moe2 is a Mixture of Experts model.
LLM NameKarasu Moe2
Repository 🤗https://huggingface.co/aipib/karasu-moe2 
Base Model(s)  yuiseki/karasu-sake-qa-v0.1   lightblue/karasu-1.1B   yuiseki/karasu-sake-qa-v0.1   lightblue/karasu-1.1B
Model Size1.1b
Required VRAM7.5 GB
Updated2025-09-21
Maintaineraipib
Model Typemixtral
Model Files  4.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than aipib/karasu-moe2.

Rank the Karasu Moe2 Capabilities

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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  

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