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OpenCAI 7B V2 by Norquinal

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  Art   Autotrain compatible   Dataset:norquinal/opencai   En   Endpoints compatible   Mistral   Not-for-all-audiences   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Norquinal/OpenCAI-7B-V2 

OpenCAI 7B V2 Benchmarks

LLME Score: 0.18057
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenCAI 7B V2 (Norquinal/OpenCAI-7B-V2)

OpenCAI 7B V2 Parameters and Internals

Model Type 
chat, roleplay
Use Cases 
Areas:
chat, roleplay
Applications:
recreational use, community interactions
Limitations:
Outputs may be considered 'unsafe' or 'harmful'
Considerations:
Use responsibly and with good judgement
Supported Languages 
language (en), proficiency_level (unknown)
Training Details 
Data Sources:
Discord roleplay interactions
Data Volume:
1200 samples
Methodology:
fine-tuning
Input Output 
Input Format:
Pygmalion-2/Metharme prompt format
Accepted Modalities:
text
Output Format:
text
LLM NameOpenCAI 7B V2
Repository 🤗https://huggingface.co/Norquinal/OpenCAI-7B-V2 
Model Size7b
Required VRAM28.4 GB
Updated2025-02-22
MaintainerNorquinal
Model Typemistral
Model Files  4.8 GB: 1-of-6   4.8 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.0 GB: 6-of-6
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Norquinal/OpenCAI-7B-V2.

Rank the OpenCAI 7B V2 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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Release v20241227
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