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Kappa 3 Phi Abliterated by failspy

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Model Card on HF 🤗: https://huggingface.co/failspy/kappa-3-phi-abliterated 

Kappa 3 Phi Abliterated Benchmarks

LLME Score: 0.19094
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kappa 3 Phi Abliterated (failspy/kappa-3-phi-abliterated)

Kappa 3 Phi Abliterated Parameters and Internals

Model Type 
Large Language Model
Additional Notes 
The model comes in full fp32 and is recommended to be quantized to at least fp16 for efficient use.
LLM NameKappa 3 Phi Abliterated
Repository 🤗https://huggingface.co/failspy/kappa-3-phi-abliterated 
Model Size3.8b
Required VRAM15.4 GB
Updated2025-02-22
Maintainerfailspy
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   0.4 GB: 4-of-4
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.41.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than failspy/kappa-3-phi-abliterated.

Rank the Kappa 3 Phi 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 v20241227
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