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Llama 3 70B Instruct Abliterated 4.0bpw H6 EXL2 by LoneStriker

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Model Card on HF 🤗: https://huggingface.co/LoneStriker/llama-3-70B-Instruct-abliterated-4.0bpw-h6-exl2 

Llama 3 70B Instruct Abliterated 4.0bpw H6 EXL2 Benchmarks

LLME Score: 0.18353
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 70B Instruct Abliterated 4.0bpw H6 EXL2 (LoneStriker/llama-3-70B-Instruct-abliterated-4.0bpw-h6-exl2)

Llama 3 70B Instruct Abliterated 4.0bpw H6 EXL2 Parameters and Internals

Model Type 
text generation
Additional Notes 
This model has had certain weights manipulated to "inhibit" the model's ability to express refusal. It is not guaranteed to never refuse a request and may still express ethical/safety considerations.
LLM NameLlama 3 70B Instruct Abliterated 4.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/llama-3-70B-Instruct-abliterated-4.0bpw-h6-exl2 
Model Size70b
Required VRAM37.3 GB
Updated2025-02-22
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  8.6 GB: 1-of-5   8.6 GB: 2-of-5   8.6 GB: 3-of-5   8.6 GB: 4-of-5   2.9 GB: 5-of-5
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.1
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 LoneStriker/llama-3-70B-Instruct-abliterated-4.0bpw-h6-exl2.

Rank the Llama 3 70B Instruct Abliterated 4.0bpw H6 EXL2 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 v20241227
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