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CodeLlama 70B Instruct Hf 4bit MLX by mlx-community

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CodeLlama 70B Instruct Hf 4bit MLX Benchmarks

LLME Score: 0.18715
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CodeLlama 70B Instruct Hf 4bit MLX Parameters and Internals

LLM NameCodeLlama 70B Instruct Hf 4bit MLX
Repository 🤗https://huggingface.co/mlx-community/CodeLlama-70b-Instruct-hf-4bit-MLX 
Model Size70b
Required VRAM39.1 GB
Updated2024-10-18
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   2.0 GB: 8-of-8
Supported Languagescode
Quantization Type4bit
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Vocabulary Size32016
Torch Data Typebfloat16
CodeLlama 70B Instruct Hf 4bit MLX (mlx-community/CodeLlama-70b-Instruct-hf-4bit-MLX)

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/CodeLlama-70b-Instruct-hf-4bit-MLX.

Rank the CodeLlama 70B Instruct Hf 4bit MLX 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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