Mistral 7B Uncensored by luvGPT

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  Autotrain compatible   Conversational   Dataset:open-source-texts   En   Endpoints compatible   Finetuned   Instruct   Mistral   Nsfw   Region:us   Safetensors   Sharded   Tensorflow   Uncensored

Mistral 7B Uncensored Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Mistral 7B Uncensored Parameters and Internals

Model Type 
text-generation, transformer
Use Cases 
Primary Use Cases:
Text generation, Question answering, Dialogue systems, Content generation for AI-powered interactions
Training Details 
Data Sources:
open-source-texts
Data Volume:
40,000 textual datapoints
Methodology:
Fine-tuning
Training Time:
16 hours
Hardware Used:
two NVIDIA A100 GPUs
Model Architecture:
Dense transformer model
LLM NameMistral 7B Uncensored
Repository ๐Ÿค—https://huggingface.co/luvGPT/mistral-7b-uncensored 
Model Size7b
Required VRAM14.4 GB
Updated2024-12-04
MaintainerluvGPT
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Mistral 7B Uncensored (luvGPT/mistral-7b-uncensored)

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Note: green Score (e.g. "73.2") means that the model is better than luvGPT/mistral-7b-uncensored.

Rank the Mistral 7B Uncensored 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