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Qwen3 0.6B 4bit by mlx-community

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Qwen3 0.6B 4bit is an open-source language model by mlx-community. Features: 0.6b LLM, VRAM: 0.3GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.25.

  4-bit   4bit Base model:quantized:qwen/qwen...   Base model:qwen/qwen3-0.6b   Conversational   Mlx   Quantized   Qwen3   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-0.6B-4bit 

Qwen3 0.6B 4bit Benchmarks

LLME Score: 0.25405
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 4bit (mlx-community/Qwen3-0.6B-4bit)
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Qwen3 0.6B 4bit Parameters and Internals

LLM NameQwen3 0.6B 4bit
Repository 🤗https://huggingface.co/mlx-community/Qwen3-0.6B-4bit 
Base Model(s)  Qwen/Qwen3-0.6B   Qwen/Qwen3-0.6B
Model Size0.6b
Required VRAM0.3 GB
Updated2026-04-11
Maintainermlx-community
Model Typeqwen3
Model Files  0.3 GB
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Fizik 0.6B Preview40K / 1.2 GB90
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Qwen3 0.6B MLX 8bit40K / 0.6 GB11705
Qwen3 0.6B GRPO40K / 1.2 GB140
... Model Era Lora 128 Qwen3 0.6B40K / 1.2 GB130
Qwen3 0.6B MLX 6bit40K / 0.5 GB893
Qwe3 0.6B Acot40K / 1.2 GB180
Qwen3 0.6B Acot40K / 1.2 GB60
Qwill 0.6B IT40K / 1.2 GB60
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-0.6B-4bit.

Rank the Qwen3 0.6B 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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