VersatiLlama Llama 3.2 3B Instruct Abliterated by Devarui379

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow   Uncensored

VersatiLlama Llama 3.2 3B Instruct Abliterated Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
VersatiLlama Llama 3.2 3B Instruct Abliterated (Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated)

VersatiLlama Llama 3.2 3B Instruct Abliterated Parameters and Internals

Model Type 
Transformers
Supported Languages 
en (full)
Training Details 
Training Time:
5hrs
Hardware Used:
NVIDIA TESLA T4 GPU 15GB VRAM
Model Architecture:
Llama 3.2
LLM NameVersatiLlama Llama 3.2 3B Instruct Abliterated
Repository ๐Ÿค—https://huggingface.co/Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated 
Base Model(s)  meta-llama/Llama-3.2-3B-Instruct   meta-llama/Llama-3.2-3B-Instruct
Model Size3b
Required VRAM6.5 GB
Updated2024-12-22
MaintainerDevarui379
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-4.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated.

Rank the VersatiLlama Llama 3.2 3B Instruct Abliterated 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 v20241217