Qwen2.5 3B Instruct Unsloth Bnb 4bit by unsloth

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Qwen2.5 3B Instruct Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 3b LLM, VRAM: 2.4GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.27.

  Arxiv:2407.10671   4-bit   4bit   Autotrain compatible Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-3b-ins...   Bitsandbytes   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen   Qwen2   Region:us   Safetensors   Unsloth

Qwen2.5 3B Instruct Unsloth Bnb 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 3B Instruct Unsloth Bnb 4bit (unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit)
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Qwen2.5 3B Instruct Unsloth Bnb 4bit Parameters and Internals

LLM NameQwen2.5 3B Instruct Unsloth Bnb 4bit
Repository ๐Ÿค—https://huggingface.co/unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit 
Base Model(s)  Qwen/Qwen2.5-3B-Instruct   Qwen/Qwen2.5-3B-Instruct
Model Size3b
Required VRAM2.4 GB
Updated2025-09-23
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  2.4 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Model 16bit32K / 6.2 GB70
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit.

Rank the Qwen2.5 3B Instruct Unsloth 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 v20241124