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MFANN Abliterated Phi2 Merge Unretrained by netcat420

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  Merged Model   Autotrain compatible Base model:m1ll1x/microsoft-ph... Base model:netcat420/mfann3bv1...   Conversational   Endpoints compatible   Phi   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/MFANN-abliterated-phi2-merge-unretrained 

MFANN Abliterated Phi2 Merge Unretrained Benchmarks

MMLU Pro: 5.31
GPQA: 1.45
MUSR: 0.56
BBH: 17.59
IFEval: 30.05 vs 88 (so35)-65.9%
MATH Lvl 5: 2.87
LLME Score: 0.24636
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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MFANN Abliterated Phi2 Merge Unretrained Parameters and Internals

LLM NameMFANN Abliterated Phi2 Merge Unretrained
Repository 🤗https://huggingface.co/netcat420/MFANN-abliterated-phi2-merge-unretrained 
Base Model(s)  netcat420/MFANN3bv1.1   ...ted QA 1960 All Modules Merged   netcat420/MFANN3bv1.1   M1LL1X/microsoft-phi-2-trained-abliterated-QA-1960-all-modules-merged
Merged ModelYes
Model Size2.8b
Required VRAM5.6 GB
Updated2025-06-11
Maintainernetcat420
Model Typephi
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2
Model ArchitecturePhiForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.46.2
Tokenizer ClassCodeGenTokenizer
Padding Token<|im_end|>
Vocabulary Size50297
Torch Data Typefloat16
MFANN Abliterated Phi2 Merge Unretrained (netcat420/MFANN-abliterated-phi2-merge-unretrained)

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MFANN3bv0.24128K / 11.1 GB210
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MFANN3bv1.3128K / 11.1 GB90
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MFANN Liminerity Slerp 4a128K / 5.6 GB140
Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANN-abliterated-phi2-merge-unretrained.

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Release v20241124
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