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Qwen2.5 Coder 7B Instruct 20241106 by theo77186

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Qwen2.5 Coder 7B Instruct 20241106 is an open-source language model by theo77186. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.25.

  Arxiv:2309.00071   Arxiv:2407.10671   Arxiv:2409.12186 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Chat   Code   Codegen   Codeqwen   Conversational   En   Endpoints compatible   Instruct   Qwen   Qwen-coder   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/theo77186/Qwen2.5-Coder-7B-Instruct-20241106 

Qwen2.5 Coder 7B Instruct 20241106 Benchmarks

MMLU Pro: 26.14
GPQA: 5.59
MUSR: 9.48
BBH: 28.94
IFEval: 61.01 vs 88 (so35)-30.7%
MATH Lvl 5: 38.82
LLME Score: 0.24502
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 7B Instruct 20241106 (theo77186/Qwen2.5-Coder-7B-Instruct-20241106)
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Qwen2.5 Coder 7B Instruct 20241106 Parameters and Internals

LLM NameQwen2.5 Coder 7B Instruct 20241106
Repository 🤗https://huggingface.co/theo77186/Qwen2.5-Coder-7B-Instruct-20241106 
Base Model(s)  Qwen/Qwen2.5-Coder-7B   Qwen/Qwen2.5-Coder-7B
Model Size7b
Required VRAM15.2 GB
Updated2026-04-11
Maintainertheo77186
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
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

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Note: green Score (e.g. "73.2") means that the model is better than theo77186/Qwen2.5-Coder-7B-Instruct-20241106.

Rank the Qwen2.5 Coder 7B Instruct 20241106 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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