Higgs Llama 3 70B 4.0bpw H6 EXL2 by LoneStriker

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Higgs Llama 3 70B 4.0bpw H6 EXL2 Benchmarks

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

Higgs Llama 3 70B 4.0bpw H6 EXL2 Parameters and Internals

Model Type 
role-playing, instruction-following, reasoning
Additional Notes 
Specially tuned for role-playing while being competitive in general-domain instruction-following and reasoning.
Training Details 
Methodology:
Supervised fine-tuning with in-house instruction-following and chat datasets, preference optimization
Input Output 
Input Format:
Same as Meta-Llama-3-70B-Instruct
LLM NameHiggs Llama 3 70B 4.0bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Higgs-Llama-3-70B-4.0bpw-h6-exl2 
Model Size70b
Required VRAM37.3 GB
Updated2025-02-22
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-5   8.6 GB: 2-of-5   8.6 GB: 3-of-5   8.5 GB: 4-of-5   3.0 GB: 5-of-5
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat32

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Rank the Higgs Llama 3 70B 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