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Qwen2.5 Coder 32B Instruct Bf16 by mlx-community

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Qwen2.5 Coder 32B Instruct Bf16 Benchmarks

LLME Score: 0.32267
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 Bf16 Parameters and Internals

LLM NameQwen2.5 Coder 32B Instruct Bf16
Repository 🤗https://huggingface.co/mlx-community/Qwen2.5-Coder-32B-Instruct-bf16 
Base Model(s)  Qwen/Qwen2.5-Coder-32B-Instruct   Qwen/Qwen2.5-Coder-32B-Instruct
Model Size32b
Required VRAM65.9 GB
Updated2024-11-21
Maintainermlx-community
Model Typeqwen2
Instruction-BasedYes
Model Files  5.2 GB: 1-of-13   5.3 GB: 2-of-13   5.2 GB: 3-of-13   5.2 GB: 4-of-13   5.3 GB: 5-of-13   5.2 GB: 6-of-13   5.2 GB: 7-of-13   5.3 GB: 8-of-13   5.2 GB: 9-of-13   5.2 GB: 10-of-13   5.3 GB: 11-of-13   5.2 GB: 12-of-13   3.1 GB: 13-of-13
Supported Languagesen
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
Qwen2.5 Coder 32B Instruct Bf16 (mlx-community/Qwen2.5-Coder-32B-Instruct-bf16)

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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-bf16.

Rank the Qwen2.5 Coder 32B Instruct Bf16 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  
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Multi-Language Support and Translation  

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Release v20241110
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