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Calm2 7B Chat 7B MoE by aixsatoshi

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  Autotrain compatible   Endpoints compatible   Mixtral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/aixsatoshi/calm2-7b-chat-7b-moe 

Calm2 7B Chat 7B MoE Benchmarks

LLME Score: 0.12923
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Calm2 7B Chat 7B MoE (aixsatoshi/calm2-7b-chat-7b-moe)
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Calm2 7B Chat 7B MoE Parameters and Internals

Model Type 
general-purpose, conversational
Use Cases 
Areas:
research, development
Limitations:
experimental model, not fine-tuned post-composition
Considerations:
Users should perform their own tuning and optimization.
Additional Notes 
This model combines the general-purpose capabilities of the calm2-7b model with the conversational abilities of the calm2-7b-chat model.
Supported Languages 
Japanese (native), English (native)
Training Details 
Context Length:
32768
Model Architecture:
Mixture of Experts (MoE)
LLM NameCalm2 7B Chat 7B MoE
Repository 🤗https://huggingface.co/aixsatoshi/calm2-7b-chat-7b-moe 
Model Size7b
Required VRAM22.7 GB
Updated2025-09-23
Maintaineraixsatoshi
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   2.7 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|endoftext|>
Vocabulary Size65024
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than aixsatoshi/calm2-7b-chat-7b-moe.

Rank the Calm2 7B Chat 7B MoE 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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