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Qwen2.5 Coder 32B Instruct Gptqmodel 4bit Vortex V1 by ModelCloud

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Qwen2.5 Coder 32B Instruct Gptqmodel 4bit Vortex V1 Benchmarks

HumanEvalA: 55.07
Python Eva: 57.1 vs 92 (so35)-37.9%
Java Eval: 65.49
Javascript: 65.07
CPP Eval: 64.35
PHP Eval: 62.7
Julia Eval: 51.28
D Eval: 32.3
Lua Eval: 57.25
R Eval: 31.2
Racket Eva: 47.93
Rust Eval: 65.94
Swift Eval: 60.21
LLME Score: 0.31082
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 Gptqmodel 4bit Vortex V1 Parameters and Internals

LLM NameQwen2.5 Coder 32B Instruct Gptqmodel 4bit Vortex V1
Repository 🤗https://huggingface.co/ModelCloud/Qwen2.5-Coder-32B-Instruct-gptqmodel-4bit-vortex-v1 
Base Model(s)  Qwen/Qwen2.5-Coder-32B   Qwen/Qwen2.5-Coder-32B
Model Size32b
Required VRAM21.3 GB
Updated2024-11-21
MaintainerModelCloud
Model Typeqwen2
Instruction-BasedYes
Model Files  3.9 GB: 1-of-6   4.0 GB: 2-of-6   4.0 GB: 3-of-6   4.0 GB: 4-of-6   3.8 GB: 5-of-6   1.6 GB: 6-of-6
Supported Languagesen
Quantization Type4bit
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Qwen2.5 Coder 32B Instruct Gptqmodel 4bit Vortex V1 (ModelCloud/Qwen2.5-Coder-32B-Instruct-gptqmodel-4bit-vortex-v1)

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Note: green Score (e.g. "73.2") means that the model is better than ModelCloud/Qwen2.5-Coder-32B-Instruct-gptqmodel-4bit-vortex-v1.

Rank the Qwen2.5 Coder 32B Instruct Gptqmodel 4bit Vortex V1 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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