MFANN Llama3.1 Abliterated SLERP V3 by netcat420

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  Merged Model   Autotrain compatible Base model:mlabonne/meta-llama... Base model:netcat420/mfannv0.2...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

MFANN Llama3.1 Abliterated SLERP V3 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 SLERP V3 (netcat420/MFANN-llama3.1-abliterated-SLERP-v3)

MFANN Llama3.1 Abliterated SLERP V3 Parameters and Internals

Additional Notes 
This model was created using the mergekit tool and is a merge of the following models: mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated and netcat420/MFANNv0.22.1.
Training Details 
Methodology:
SLERP merge method
LLM NameMFANN Llama3.1 Abliterated SLERP V3
Repository ๐Ÿค—https://huggingface.co/netcat420/MFANN-llama3.1-abliterated-SLERP-v3 
Base Model(s)  mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated   netcat420/MFANNv0.22.1   mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated   netcat420/MFANNv0.22.1
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-02-16
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
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.45.1
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-SLERP-v3.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227