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Qwen2.5 Coder 32B Instruct 4bit by mlx-community

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Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen2.5-Coder-32B-Instruct-4bit 

Qwen2.5 Coder 32B Instruct 4bit Benchmarks

HumanEvalA: 63.38
Python Eva: 83.2 vs 92 (so35)-9.6%
Java Eval: 73.69
Javascript: 76.05
CPP Eval: 81.95
PHP Eval: 73.59
Julia Eval: 58.15
D Eval: 26.98
Lua Eval: 46.04
R Eval: 52.73
Racket Eva: 61.54
Rust Eval: 68.53
Swift Eval: 58.12
LLME Score: 0.36222
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Coder 32B Instruct 4bit (mlx-community/Qwen2.5-Coder-32B-Instruct-4bit)

Qwen2.5 Coder 32B Instruct 4bit Parameters and Internals

LLM NameQwen2.5 Coder 32B Instruct 4bit
Repository 🤗https://huggingface.co/mlx-community/Qwen2.5-Coder-32B-Instruct-4bit 
Base Model(s)  Qwen/Qwen2.5-Coder-32B-Instruct   Qwen/Qwen2.5-Coder-32B-Instruct
Model Size32b
Required VRAM18.5 GB
Updated2025-01-14
Maintainermlx-community
Model Typeqwen2
Instruction-BasedYes
Model Files  5.4 GB: 1-of-4   5.3 GB: 2-of-4   5.4 GB: 3-of-4   2.4 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen2.5-Coder-32B-Instruct-4bit.

Rank the Qwen2.5 Coder 32B Instruct 4bit 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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