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Qwen3.5 9B OptiQ 4bit by mlx-community

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Qwen3.5 9B OptiQ 4bit is an open-source language model by mlx-community. Features: 9b LLM, VRAM: 6.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.36.

  4-bit   4bit   8bit   Apple-silicon Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.5-9b   Conversational   Mixed-precision   Mlx   Optiq   Quantized   Qwen3.5   Qwen3 5   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3.5-9B-OptiQ-4bit 

Qwen3.5 9B OptiQ 4bit Benchmarks

LLME Score: 0.36079
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.5 9B OptiQ 4bit (mlx-community/Qwen3.5-9B-OptiQ-4bit)
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Qwen3.5 9B OptiQ 4bit Parameters and Internals

LLM NameQwen3.5 9B OptiQ 4bit
Repository 🤗https://huggingface.co/mlx-community/Qwen3.5-9B-OptiQ-4bit 
Base Model(s)  Qwen/Qwen3.5-9B   Qwen/Qwen3.5-9B
Model Size9b
Required VRAM6.1 GB
Updated2026-04-30
Maintainermlx-community
Model Typeqwen3_5
Model Files  5.4 GB: 1-of-2   0.7 GB: 2-of-2
Quantization Type4bit
Model ArchitectureQwen3_5ForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version4.57.0.dev0
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3.5-9B-OptiQ-4bit.

Rank the Qwen3.5 9B OptiQ 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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