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OlympicCoder 32B by open-r1

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational Dataset:open-r1/codeforces-cot...   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/open-r1/OlympicCoder-32B 

OlympicCoder 32B Benchmarks

LLME Score: 0.44183
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OlympicCoder 32B (open-r1/OlympicCoder-32B)

OlympicCoder 32B Parameters and Internals

LLM NameOlympicCoder 32B
Repository 🤗https://huggingface.co/open-r1/OlympicCoder-32B 
Base Model(s)  Qwen/Qwen2.5-Coder-32B-Instruct   Qwen/Qwen2.5-Coder-32B-Instruct
Model Size32b
Required VRAM65.8 GB
Updated2025-03-18
Maintaineropen-r1
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14   0.0 GB
Supported Languagesen
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to OlympicCoder 32B

Best Alternatives
Context / RAM
Downloads
Likes
...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB102
QwQ Qwen2.5 Coder Instruct 32B128K / 65.8 GB430
QwQenSeek Coder128K / 65.7 GB1225
Rombos Coder V2.5 Qwen 32B128K / 65.8 GB10318
Qwen2.5 Coder 32B Instruct32K / 65.8 GB2712051715
Qwen2.5 Test 32B It32K / 65.8 GB1319
Tqwendo 36B32K / 71.7 GB619
Qwen2.5 Coder 32B Instruct32K / 65.8 GB42036
BBA 12332K / 34.5 GB280
QwQ Coder Instruct32K / 65.7 GB690
Note: green Score (e.g. "73.2") means that the model is better than open-r1/OlympicCoder-32B.

Rank the OlympicCoder 32B 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 v20241227
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