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CodeLlama 7B Python 4bit MLX by mlx-community

 »  All LLMs  »  mlx-community  »  CodeLlama 7B Python 4bit MLX   URL Share it on

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  4bit   Code   Codegen   Llama   Llama2   Mlx   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/mlx-community/CodeLlama-7b-Python-4bit-MLX 

CodeLlama 7B Python 4bit MLX Benchmarks

LLME Score: 0.13674
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 7B Python 4bit MLX (mlx-community/CodeLlama-7b-Python-4bit-MLX)
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CodeLlama 7B Python 4bit MLX Parameters and Internals

Model Type 
text generation
Additional Notes 
This model was converted to MLX format
Supported Languages 
Python (high proficiency)
Input Output 
Input Format:
[INST] <> '<PROMPT_HERE>' <> [/INST]
Accepted Modalities:
text
Output Format:
text
Performance Tips:
For detailed verbosity, set `verbose=True` while generating text.
LLM NameCodeLlama 7B Python 4bit MLX
Repository 🤗https://huggingface.co/mlx-community/CodeLlama-7b-Python-4bit-MLX 
Model Size7b
Required VRAM4 GB
Updated2025-09-23
Maintainermlx-community
Model Typellama
Model Files  4.0 GB
Supported Languagescode
Quantization Type4bit
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.36.2
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/CodeLlama-7b-Python-4bit-MLX.

Rank the CodeLlama 7B Python 4bit MLX Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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