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Meta Llama 3 70B Instruct 4bit by mlx-community

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Meta Llama 3 70B Instruct 4bit Benchmarks

LLME Score: 0.20947
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 70B Instruct 4bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model converted to MLX format using mlx-lm version 0.10.0.
LLM NameMeta Llama 3 70B Instruct 4bit
Repository 🤗https://huggingface.co/mlx-community/Meta-Llama-3-70B-Instruct-4bit 
Base Model(s)  Meta Llama 3 120B Instruct   mlabonne/Meta-Llama-3-120B-Instruct
Model Size70b
Required VRAM39.7 GB
Updated2024-11-22
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  5.3 GB: 1-of-8   5.3 GB: 2-of-8   5.3 GB: 3-of-8   5.3 GB: 4-of-8   5.3 GB: 5-of-8   5.3 GB: 6-of-8   5.3 GB: 7-of-8   2.6 GB: 8-of-8
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Meta Llama 3 70B Instruct 4bit (mlx-community/Meta-Llama-3-70B-Instruct-4bit)

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Rank the Meta Llama 3 70B Instruct 4bit 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 v20241110
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