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Qwen2.5 Coder 7B Instruct by Qwen

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  Arxiv:2309.00071   Arxiv:2407.10671   Arxiv:2409.12186   Autotrain compatible 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/Qwen/Qwen2.5-Coder-7B-Instruct 

Qwen2.5 Coder 7B Instruct Benchmarks

MMLU Pro: 26.16
GPQA: 5.82
MUSR: 9.88
BBH: 28.73
IFEval: 61.47 vs 88 (so35)-30.1%
MATH Lvl 5: 3.1
LLME Score: 0.42846
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 (Qwen/Qwen2.5-Coder-7B-Instruct)

Qwen2.5 Coder 7B Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
code generation, code reasoning, code fixing
Additional Notes 
vLLM is recommended for deployment when processing long contexts.
Supported Languages 
en (full)
Training Details 
Data Sources:
source code, text-code grounding, Synthetic data
Data Volume:
5.5 trillion tokens
Methodology:
Pretraining & Post-training
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
Input Output 
Input Format:
text prompts
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
Utilize YaRN for long contexts
LLM NameQwen2.5 Coder 7B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct 
Base Model(s)  Qwen/Qwen2.5-Coder-7B   Qwen/Qwen2.5-Coder-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-03-18
MaintainerQwen
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 Version4.44.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 Coder 7B Instruct

Model
Likes
Downloads
VRAM
....5 Coder 7B Instruct GPTQ Int46357815 GB
....5 Coder 7B Instruct GPTQ Int84251898 GB
...2.5 Coder 7B Instruct Bnb 4bit6113185 GB
Qwen2.5 Coder 7B Instruct AWQ1244375 GB
Qwen 2.5 7B Threatflux64015 GB
...der 7B Instruct Abliterated V114415 GB
...en2.5.1 Coder 7B Instruct 4bit3314 GB
...en2.5.1 Coder 7B Instruct 8bit2208 GB

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...oder Qwen2.5 Coder 7B Ins Rule32K / 59 GB320
...erated MFANN Slerp Unretrained32K / 15.2 GB301
Qwen2.5 7B MFANN Slerp32K / 15.2 GB201
...r Scholar 7B Abliterated MFANN32K / 30.5 GB232
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-Coder-7B-Instruct.

Rank the Qwen2.5 Coder 7B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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