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Qwen2.5 Coder 1.5B by unsloth

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Qwen2.5 Coder 1.5B is an open-source language model by unsloth. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.17.

  Arxiv:2309.00071   Arxiv:2407.10671   Arxiv:2409.12186 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Codegen   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B 

Qwen2.5 Coder 1.5B Benchmarks

LLME Score: 0.16593
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 1.5B (unsloth/Qwen2.5-Coder-1.5B)
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Qwen2.5 Coder 1.5B Parameters and Internals

Model Type 
Causal Language Models
Use Cases 
Areas:
real-world applications such as Code Agents
Primary Use Cases:
code generation, code reasoning, code fixing
Considerations:
Long-context processing and not recommended for conversational use out-of-the-box.
Additional Notes 
Notebooks available to finetune and deploy Qwen2.5.
Supported Languages 
en (primary)
Training Details 
Data Sources:
source code, text-code grounding, Synthetic data
Data Volume:
5.5 trillion tokens
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
Input Output 
Input Format:
Causal input
Accepted Modalities:
text
Output Format:
Generated code
Performance Tips:
Use YaRN for long context processing.
LLM NameQwen2.5 Coder 1.5B
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B 
Base Model(s)  Qwen/Qwen2.5-Coder-1.5B   Qwen/Qwen2.5-Coder-1.5B
Model Size1.5b
Required VRAM3.1 GB
Updated2026-05-15
Maintainerunsloth
Model Typeqwen2
Model Files  3.1 GB
Supported Languagesen
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
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-1.5B.

Rank the Qwen2.5 Coder 1.5B 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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