MFANN Llama3.1 Abliterated V2 by netcat420

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  Merged Model   Autotrain compatible Base model:mlabonne/meta-llama... Base model:netcat420/mfannv0.1...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

MFANN Llama3.1 Abliterated V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MFANN Llama3.1 Abliterated V2 (netcat420/MFANN-llama3.1-abliterated-v2)

MFANN Llama3.1 Abliterated V2 Parameters and Internals

Additional Notes 
This model is a merge of two pre-trained language models using the mergekit tool.
Training Details 
Methodology:
Merged using the SLERP merge method
LLM NameMFANN Llama3.1 Abliterated V2
Repository ๐Ÿค—https://huggingface.co/netcat420/MFANN-llama3.1-abliterated-v2 
Base Model(s)  netcat420/MFANNv0.19   mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated   netcat420/MFANNv0.19   mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-02-09
Maintainernetcat420
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.44.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANN-llama3.1-abliterated-v2.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227