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Phi 3 Medium 4K Instruct Abliterated V3 by failspy

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Phi 3 Medium 4K Instruct Abliterated V3 is an open-source language model by failspy. Features: 14b LLM, VRAM: 28GB, Context: 4K, License: mit, Instruction-Based, HF Score: 70.1, LLM Explorer Score: 0.24, Arc: 65.4, HellaSwag: 85.1, MMLU: 75.5, TruthfulQA: 50, WinoGrande: 72.9, GSM8K: 71.9.

  Code   Conversational   Custom code   Endpoints compatible   Instruct   Multilingual   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/failspy/Phi-3-medium-4k-instruct-abliterated-v3 

Phi 3 Medium 4K Instruct Abliterated V3 Benchmarks

MMLU Pro: 37.78
GPQA: 8.95
MUSR: 18.52
BBH: 46.73
IFEval: 63.19 vs 88 (so35)-28.2%
ARC: 65.44 vs 96.7 (so35)-32.3%
HellaSwag: 85.07 vs 95.3 (gpt4)-10.7%
MMLU: 75.52 vs 88.3 (so35)-14.5%
TruthfulQA: 49.98 vs 59 (gpt4)-15.3%
WinoGrande: 72.85 vs 87.5 (gpt4)-16.7%
GSM8K: 71.87 vs 96.4 (so35)-25.4%
MATH Lvl 5: 15.94
LLME Score: 0.24288
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Medium 4K Instruct Abliterated V3 (failspy/Phi-3-medium-4k-instruct-abliterated-v3)
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Phi 3 Medium 4K Instruct Abliterated V3 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model has been orthogonalized to inhibit ability to refuse while maintaining other functionalities. It aims to have minimal changes from the original model behavioral characteristics, except for refusal.
Supported Languages 
language (multilingual)
Training Details 
Methodology:
ablation via orthogonalization to inhibit refusal
LLM NamePhi 3 Medium 4K Instruct Abliterated V3
Repository 🤗https://huggingface.co/failspy/Phi-3-medium-4k-instruct-abliterated-v3 
Model Size14b
Required VRAM28 GB
Updated2026-04-10
Maintainerfailspy
Model Typephi3
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   4.8 GB: 4-of-6   4.8 GB: 5-of-6   3.6 GB: 6-of-6
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than failspy/Phi-3-medium-4k-instruct-abliterated-v3.

Rank the Phi 3 Medium 4K Instruct Abliterated V3 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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