Magicoder S DS 6.7B MLX by mlx-community

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Magicoder S DS 6.7B MLX Benchmarks

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

Magicoder S DS 6.7B MLX Parameters and Internals

LLM NameMagicoder S DS 6.7B MLX
Repository 🤗https://huggingface.co/mlx-community/Magicoder-S-DS-6.7B-MLX 
Model Size6.7b
Required VRAM13.4 GB
Updated2024-10-18
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  5.3 GB: 1-of-3   5.3 GB: 2-of-3   2.8 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.38.1
Padding Token<|end▁of▁sentence|>
Vocabulary Size32256
Torch Data Typefloat32
Magicoder S DS 6.7B MLX (mlx-community/Magicoder-S-DS-6.7B-MLX)

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Magicoder-S-DS-6.7B-MLX.

Rank the Magicoder S DS 6.7B 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