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Qwen3 4B Thinking 2507 8bit by mlx-community

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Qwen3 4B Thinking 2507 8bit is an open-source language model by mlx-community. Features: 4b LLM, VRAM: 4.3GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.2.

  8-bit   8bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b-think...   Conversational   Mlx   Quantized   Qwen3   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-4B-Thinking-2507-8bit 

Qwen3 4B Thinking 2507 8bit Benchmarks

LLME Score: 0.20427
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Thinking 2507 8bit (mlx-community/Qwen3-4B-Thinking-2507-8bit)
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Qwen3 4B Thinking 2507 8bit Parameters and Internals

LLM NameQwen3 4B Thinking 2507 8bit
Repository 🤗https://huggingface.co/mlx-community/Qwen3-4B-Thinking-2507-8bit 
Base Model(s)  Qwen3 4B Thinking 2507   Qwen/Qwen3-4B-Thinking-2507
Model Size4b
Required VRAM4.3 GB
Updated2026-05-12
Maintainermlx-community
Model Typeqwen3
Model Files  4.3 GB
Quantization Type8bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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...wen3 4B Thinking 2507 MLX 8bit256K / 4.3 GB664767
Qwen3 4B ARC MLX 4bit256K / 2 GB2802
...Instruct Haiku 4.5 Merged FP16256K / 8.1 GB421
Qwen3 4B Instruct 2507 4bit256K / 2.3 GB161639
Qwen3 4B Finetune Merged 4bit256K / 3.5 GB210
Jan V3 4B Base Instruct 4bit256K / 2.3 GB5412
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-4B-Thinking-2507-8bit.

Rank the Qwen3 4B Thinking 2507 8bit 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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