Qwen3 0.6B GGUF by unsloth

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Qwen3 0.6B GGUF is an open-source language model by unsloth. Features: 0.6b LLM, VRAM: 0.2GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.

Base model:quantized:qwen/qwen...   Base model:qwen/qwen3-0.6b   Conversational   En   Endpoints compatible   Gguf   Q2   Quantized   Qwen   Qwen3   Region:us   Unsloth

Qwen3 0.6B GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen3 0.6B GGUF Parameters and Internals

LLM NameQwen3 0.6B GGUF
Repository 🤗https://huggingface.co/unsloth/Qwen3-0.6B-GGUF 
Base Model(s)  Qwen/Qwen3-0.6B   Qwen/Qwen3-0.6B
Model Size0.6b
Required VRAM0.2 GB
Updated2026-04-17
Maintainerunsloth
Model Typeqwen3
Model Files  1.2 GB   0.4 GB   0.4 GB   0.3 GB   0.3 GB   0.3 GB   0.3 GB   0.4 GB   0.4 GB   0.4 GB   0.4 GB   0.4 GB   0.4 GB   0.5 GB   0.6 GB   0.2 GB   0.2 GB   0.3 GB   0.2 GB   0.3 GB   0.3 GB   0.4 GB   0.4 GB   0.4 GB   0.6 GB   0.8 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Vocabulary Size151936
Torch Data Typebfloat16

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Qwen3 0.6B Unsloth Bnb 4bit40K / 0.6 GB16018224
Qwen3 0.6B 4bit40K / 0.3 GB1496912
Qwen3 0.6B 8bit40K / 0.6 GB105977
Qwen3 0.6B MLX 8bit40K / 0.6 GB11705
Qwen3 0.6B GRPO40K / 1.2 GB140
... Model Era Lora 128 Qwen3 0.6B40K / 1.2 GB70
Qwen3 0.6B MLX 6bit40K / 0.5 GB893
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-0.6B-GGUF.

Rank the Qwen3 0.6B GGUF 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 v20260328a