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OpenCodeInterpreter DS 6.7B 4bit by mlx-community

 »  All LLMs  »  mlx-community  »  OpenCodeInterpreter DS 6.7B 4bit   URL Share it on

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  4bit   Code   Conversational   En   Llama   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/OpenCodeInterpreter-DS-6.7B-4bit 

OpenCodeInterpreter DS 6.7B 4bit Benchmarks

HumanEvalA: 47.14
Python Eva: 73.2 vs 92 (so35)-20.4%
Java Eval: 51.41
Javascript: 63.85
CPP Eval: 60.01
PHP Eval: 57.34
Julia Eval: 39.69
D Eval: 18.22
Lua Eval: 44.3
R Eval: 39.08
Racket Eva: 24.32
Rust Eval: 48.22
Swift Eval: 45.99
LLME Score: 0.16684
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenCodeInterpreter DS 6.7B 4bit (mlx-community/OpenCodeInterpreter-DS-6.7B-4bit)

OpenCodeInterpreter DS 6.7B 4bit Parameters and Internals

Model Type 
text generation
Additional Notes 
The model was converted to MLX format from m-a-p/OpenCodeInterpreter-DS-6.7B.
Supported Languages 
en (primary)
LLM NameOpenCodeInterpreter DS 6.7B 4bit
Repository 🤗https://huggingface.co/mlx-community/OpenCodeInterpreter-DS-6.7B-4bit 
Base Model(s)  vdavidr/OpenCodeInterpreter-DS-6.7B_Fi__CMP_TR_size_304_epochs_10_2024-06-22_21-11-23_3558620   vdavidr/OpenCodeInterpreter-DS-6.7B_Fi__CMP_TR_size_304_epochs_10_2024-06-22_21-11-23_3558620
Model Size6.7b
Required VRAM5.9 GB
Updated2025-02-22
Maintainermlx-community
Model Typellama
Model Files  5.3 GB: 1-of-2   0.6 GB: 2-of-2   4.0 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.38.0
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typebfloat16

Best Alternatives to OpenCodeInterpreter DS 6.7B 4bit

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...LI LlumiX 32K Instruct F16 0.232K / 13.5 GB461
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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/OpenCodeInterpreter-DS-6.7B-4bit.

Rank the OpenCodeInterpreter DS 6.7B 4bit 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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