CodelLama7B Inst DPO 7K Mlx by mlx-community

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CodelLama7B Inst DPO 7K Mlx Benchmarks

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 (mlx-community/CodelLama7B-inst-dpo-7k-mlx)

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 ๐Ÿค—https://huggingface.co/mlx-community/CodelLama7B-inst-dpo-7k-mlx 
Model Size7b
Required VRAM4.2 GB
Updated2024-12-22
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

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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 v20241217