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Qwen2.5 Coder 7B Instruct Bnb 4bit by unsloth

 »  All LLMs  »  unsloth  »  Qwen2.5 Coder 7B Instruct Bnb 4bit   URL Share it on

  13106   
  Arxiv:2309.00071   Arxiv:2407.10671   Arxiv:2409.12186   4-bit   4bit   Autotrain compatible Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-coder-...   Bitsandbytes   Code   Codegen   Codeqwen   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen   Qwen-coder   Qwen2   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit 

Qwen2.5 Coder 7B Instruct Bnb 4bit Benchmarks

LLME Score: 0.26232
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 Bnb 4bit (unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit)

Qwen2.5 Coder 7B Instruct Bnb 4bit Parameters and Internals

Model Type 
Causal Language Models
Supported Languages 
en (high)
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
LLM NameQwen2.5 Coder 7B Instruct Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit 
Base Model(s)  Qwen/Qwen2.5-Coder-7B-Instruct   Qwen/Qwen2.5-Coder-7B-Instruct
Model Size7b
Required VRAM5.5 GB
Updated2025-04-30
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  5.5 GB
Supported Languagesen
Quantization Type4bit
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit.

Rank the Qwen2.5 Coder 7B Instruct Bnb 4bit 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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