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Meta Llama 3 8B Instruct Abliterated V3 by failspy

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Meta Llama 3 8B Instruct Abliterated V3 Benchmarks

ARC: 61.6 vs 96.7 (so35)-36.3%
HellaSwag: 78.35 vs 95.3 (gpt4)-17.8%
MMLU: 66.67 vs 88.3 (so35)-24.5%
TruthfulQA: 52.44 vs 59 (gpt4)-11.1%
WinoGrande: 74.51 vs 87.5 (gpt4)-14.8%
GSM8K: 70.05 vs 96.4 (so35)-27.3%
LLME Score: 0.30669
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Meta Llama 3 8B Instruct Abliterated V3 Parameters and Internals

LLM NameMeta Llama 3 8B Instruct Abliterated V3
Repository 🤗https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 
Model Size8b
Required VRAM16.1 GB
Updated2024-09-16
Maintainerfailspy
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
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Meta Llama 3 8B Instruct Abliterated V3 (failspy/Meta-Llama-3-8B-Instruct-abliterated-v3)

Quantized Models of the Meta Llama 3 8B Instruct Abliterated V3

Model
Likes
Downloads
VRAM
...truct Abliterated V3 GPTQ 4bit055 GB

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Note: green Score (e.g. "73.2") means that the model is better than failspy/Meta-Llama-3-8B-Instruct-abliterated-v3.

Rank the Meta Llama 3 8B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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