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Chargen V2 by kubernetes-bad

 »  All LLMs  »  kubernetes-bad  »  Chargen V2   URL Share it on

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/kubernetes-bad/chargen-v2 

Chargen V2 Benchmarks

LLME Score: 0.17176
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chargen V2 (kubernetes-bad/chargen-v2)

Chargen V2 Parameters and Internals

Model Type 
text generation, character generation
Use Cases 
Areas:
Role playing, Character creation
Applications:
Role playing games, Creative writing
Primary Use Cases:
Creating roleplay characters, Character attributes generation
Limitations:
Not suitable for non-character content, Trained on NSFW content
Considerations:
May require human intervention for certain specific content.
Additional Notes 
Training involved significant manual data curation and grammar correction processes.
Supported Languages 
en (full proficiency)
Training Details 
Data Sources:
Custom non-synthetic dataset, Chub, Venus, JanitorAI character cards
Methodology:
Multi-stage process including data cleaning, grammar correction, and evaluation using LLM-as-a-judge pipeline.
Hardware Used:
Coedit model, Llama2-based model
Input Output 
Input Format:
Dialogue style for generating characters field-by-field
Accepted Modalities:
text
Output Format:
Character descriptions and attributes in text form
Performance Tips:
Structured dialogue helps to reduce repetition and allows for partial re-rolls of character fields.
Release Notes 
Version:
v2
Notes:
Conversation style model that generates one field of character at a time to avoid repetition.
LLM NameChargen V2
Repository 🤗https://huggingface.co/kubernetes-bad/chargen-v2 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM18.8 GB
Updated2025-02-05
Maintainerkubernetes-bad
Model Typemistral
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.8 GB: 4-of-4
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
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 kubernetes-bad/chargen-v2.

Rank the Chargen V2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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