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AceCoder Qwen2.5 Coder 7B Ins Rule by TIGER-Lab

 »  All LLMs  »  TIGER-Lab  »  AceCoder Qwen2.5 Coder 7B Ins Rule   URL Share it on

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  Arxiv:2502.01718   Acecoder Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Code   Codegen   Dataset:tiger-lab/acecode-87k   En   Instruct   Qwen   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Ins-Rule 

AceCoder Qwen2.5 Coder 7B Ins Rule Benchmarks

MMLU Pro: 26.98
GPQA: 3.69
MUSR: 8.71
BBH: 30.54
IFEval: 62.22 vs 88 (so35)-29.3%
MATH Lvl 5: 36.03
LLME Score: 0.31541
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AceCoder Qwen2.5 Coder 7B Ins Rule (TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Ins-Rule)

AceCoder Qwen2.5 Coder 7B Ins Rule Parameters and Internals

LLM NameAceCoder Qwen2.5 Coder 7B Ins Rule
Repository 🤗https://huggingface.co/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Ins-Rule 
Base Model(s)  Qwen/Qwen2.5-Coder-7B-Instruct   Qwen/Qwen2.5-Coder-7B-Instruct
Model Size7b
Required VRAM59 GB
Updated2025-04-23
MaintainerTIGER-Lab
Model Typeqwen2
Instruction-BasedYes
Model Files  9.8 GB: 1-of-3   9.8 GB: 1-of-4   9.9 GB: 2-of-3   9.9 GB: 2-of-4   8.7 GB: 3-of-3   8.7 GB: 3-of-4   2.2 GB: 4-of-4
Supported Languagesen
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Ins-Rule.

Rank the AceCoder Qwen2.5 Coder 7B Ins Rule 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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Release v20241227
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