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Qwen2.5 Coder 1.5B Instruct Bnb 4bit by unsloth

 »  All LLMs  »  unsloth  »  Qwen2.5 Coder 1.5B Instruct Bnb 4bit   URL Share it on

  3020   
  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   Codegen   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen2   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bit 

Qwen2.5 Coder 1.5B Instruct Bnb 4bit Benchmarks

LLME Score: 0.26466
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 Instruct Bnb 4bit (unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bit)

Qwen2.5 Coder 1.5B Instruct Bnb 4bit Parameters and Internals

Model Type 
Causal Language Models
Use Cases 
Primary Use Cases:
Code generation, Code reasoning, Code fixing
Supported Languages 
en (full_support)
Training Details 
Data Volume:
5.5 trillion tokens
Methodology:
Pretraining & Post-training
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
LLM NameQwen2.5 Coder 1.5B Instruct Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bit 
Base Model(s)  Qwen/Qwen2.5-Coder-1.5B-Instruct   Qwen/Qwen2.5-Coder-1.5B-Instruct
Model Size1.5b
Required VRAM1.1 GB
Updated2025-02-05
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  1.1 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 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-Instruct-bnb-4bit.

Rank the Qwen2.5 Coder 1.5B 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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