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CodelLama7B Inst DPO 7K Mlx by mlx-community

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CodelLama7B Inst DPO 7K Mlx Benchmarks

LLME Score: 0.17762
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CodelLama7B Inst DPO 7K Mlx Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
argilla 7k DPO dataset
LLM NameCodelLama7B Inst DPO 7K Mlx
Repository 🤗https://huggingface.co/mlx-community/CodelLama7B-inst-dpo-7k-mlx 
Model Size7b
Required VRAM4.2 GB
Updated2024-11-21
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  4.2 GB
Supported Languagescode
Quantization Type4bit
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.37.2
Vocabulary Size32016
Torch Data Typebfloat16
CodelLama7B Inst DPO 7K Mlx (mlx-community/CodelLama7B-inst-dpo-7k-mlx)

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/CodelLama7B-inst-dpo-7k-mlx.

Rank the CodelLama7B Inst DPO 7K 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 v20241110
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