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Chargen V2 8bpw EXL2 by Kooten

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  Autotrain compatible   Conversational   Endpoints compatible   Exl2   Mistral   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/Kooten/Chargen-v2-8bpw-exl2 

Chargen V2 8bpw EXL2 Benchmarks

LLME Score: 0.1653
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chargen V2 8bpw EXL2 (Kooten/Chargen-v2-8bpw-exl2)

Chargen V2 8bpw EXL2 Parameters and Internals

Model Type 
Character generation
Additional Notes 
CharGen is designed to assist in creating characters for role-playing, utilizing a step-by-step dialogue format. Users are encouraged to read kubernetes-bad's own description and instructions for optimal use.
Input Output 
Input Format:
Dialogue format for character description.
Accepted Modalities:
text
Output Format:
Character description step-by-step
LLM NameChargen V2 8bpw EXL2
Repository 🤗https://huggingface.co/Kooten/Chargen-v2-8bpw-exl2 
Required VRAM7.4 GB
Updated2025-02-05
MaintainerKooten
Model Typemistral
Model Files  7.4 GB
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Kooten/Chargen-v2-8bpw-exl2.

Rank the Chargen V2 8bpw EXL2 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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