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Sensualize Mixtral GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  Sensualize Mixtral GPTQ   URL Share it on

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  4-bit   Autotrain compatible Base model:quantized:sao10k/se... Base model:sao10k/sensualize-m... Dataset:nobodyexistsontheinter...   Gptq   Mixtral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Sensualize-Mixtral-GPTQ 

Sensualize Mixtral GPTQ Benchmarks

LLME Score: 0.16012
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sensualize Mixtral GPTQ (TheBloke/Sensualize-Mixtral-GPTQ)

Sensualize Mixtral GPTQ Parameters and Internals

Model Type 
mixtral
Use Cases 
Areas:
Roleplay, ERP (Erotic Roleplay)
Considerations:
Trained on NSFW data for specific use cases. Considerations for roleplay should be taken into account.
Additional Notes 
An experimental model with finicky performance, performs well with right prompts and settings. Quantized versions available for VRAM optimization.
Training Details 
Data Sources:
NobodyExistsOnTheInternet/full120k, NSFW Instruct & De-Alignment Data
Data Volume:
80M tokens over 1 epoch
Methodology:
Trained using Alpaca format, megablocks-based fork of transformers, and Charles Goddard's ZLoss.
Training Time:
12 hours
Hardware Used:
2xA100 GPUs at batch size 5, grad 5
Model Architecture:
Based on mistralai/Mixtral-8x7B-v0.1
Input Output 
Input Format:
Instruction-Input-Response
Accepted Modalities:
text
Performance Tips:
With the right settings, the model can perform well. Recommended settings include Universal-Light or Universal-Creative in SillyTavern.
LLM NameSensualize Mixtral GPTQ
Repository 🤗https://huggingface.co/TheBloke/Sensualize-Mixtral-GPTQ 
Model NameSensualize Mixtral
Model CreatorSaofiq
Base Model(s)  Sensualize Mixtral Bf16   Sao10K/Sensualize-Mixtral-bf16
Model Size6.1b
Required VRAM23.8 GB
Updated2025-02-05
MaintainerTheBloke
Model Typemixtral
Model Files  23.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Sensualize-Mixtral-GPTQ.

Rank the Sensualize Mixtral GPTQ 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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