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Qwen3 4B Instruct 2507 Bnb 4bit by unsloth

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Qwen3 4B Instruct 2507 Bnb 4bit is an open-source language model by unsloth. Features: 4b LLM, VRAM: 2.6GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.26.

  Arxiv:2505.09388   4-bit   4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b-instr...   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Quantized   Qwen3   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-bnb-4bit 

Qwen3 4B Instruct 2507 Bnb 4bit Benchmarks

LLME Score: 0.26012
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Instruct 2507 Bnb 4bit (unsloth/Qwen3-4B-Instruct-2507-bnb-4bit)
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Qwen3 4B Instruct 2507 Bnb 4bit Parameters and Internals

LLM NameQwen3 4B Instruct 2507 Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-bnb-4bit 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM2.6 GB
Updated2026-03-27
Maintainerunsloth
Model Typeqwen3
Instruction-BasedYes
Model Files  2.6 GB
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.55.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen3 4B Instruct 2507 Bnb 4bit

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...Instruct 2507 Unsloth Bnb 4bit256K / 3.5 GB23471513
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Qwen3 4B Instruct 2507 4bit256K / 2.3 GB33495
Qwen3 4B Instruct 2507 8bit256K / 4.3 GB984
...wen3 4B Instruct 2507 Sft Full256K / 8.1 GB50
... Instruct F16 6B Brainstorm20x40K / 11.9 GB100
Qwen3 4B Instruct 2507256K / 8.1 GB1473674320
Jan Code 4B256K / 8.9 GB222871
Jan V3 4B Base Instruct256K / 8.9 GB182760
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-4B-Instruct-2507-bnb-4bit.

Rank the Qwen3 4B Instruct 2507 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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