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MFANN Llama3.1 Abliterated SLERP V4 by netcat420

 »  All LLMs  »  netcat420  »  MFANN Llama3.1 Abliterated SLERP V4   URL Share it on

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  Merged Model   Instruct   Llama Mlabonne/meta-llama-3.1-8b-ins...   Model-index   Netcat420/mfannv0.24   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/netcat420/MFANN-Llama3.1-Abliterated-SLERP-V4 

MFANN Llama3.1 Abliterated SLERP V4 Benchmarks

MMLU Pro: 27.96
GPQA: 7.38
MUSR: 5.86
BBH: 26.71
IFEval: 41.69 vs 88 (so35)-52.6%
MATH Lvl 5: 6.8
LLME Score: 0.2817
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 V4 (netcat420/MFANN-Llama3.1-Abliterated-SLERP-V4)

MFANN Llama3.1 Abliterated SLERP V4 Parameters and Internals

Model Type 
text-generation
Training Details 
Methodology:
A merge of multiple Llama models using the mergekit method.
Context Length:
8192
LLM NameMFANN Llama3.1 Abliterated SLERP V4
Repository 🤗https://huggingface.co/netcat420/MFANN-Llama3.1-Abliterated-SLERP-V4 
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainernetcat420
Model Typellama
Instruction-BasedYes
Model Files  1.1 GB: 1-of-17   1.1 GB: 2-of-17   1.0 GB: 3-of-17   1.0 GB: 4-of-17   1.0 GB: 5-of-17   0.9 GB: 6-of-17   1.0 GB: 7-of-17   1.0 GB: 8-of-17   1.0 GB: 9-of-17   0.9 GB: 10-of-17   1.0 GB: 11-of-17   1.0 GB: 12-of-17   1.0 GB: 13-of-17   0.9 GB: 14-of-17   1.0 GB: 15-of-17   1.0 GB: 16-of-17   0.2 GB: 17-of-17
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.2
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-V4.

Rank the MFANN Llama3.1 Abliterated SLERP V4 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20241227
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