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Qwen3.5 4B Qat Lean 4bit Mlx by YoozLabs

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Qwen3.5 4B Qat Lean 4bit Mlx is an open-source language model by YoozLabs. Features: 4b LLM, VRAM: 2.4GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.

  4-bit   4bit Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.5-4b   Conversational   Lean-qat-mlx   Mlx   Qat   Quantized   Qwen3.5   Qwen3 5   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/YoozLabs/Qwen3.5-4B-qat-lean-4bit-mlx 

Qwen3.5 4B Qat Lean 4bit Mlx Benchmarks

LLME Score: 0.28208
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.5 4B Qat Lean 4bit Mlx (YoozLabs/Qwen3.5-4B-qat-lean-4bit-mlx)

Qwen3.5 4B Qat Lean 4bit Mlx Parameters and Internals

LLM NameQwen3.5 4B Qat Lean 4bit Mlx
Repository 🤗https://huggingface.co/YoozLabs/Qwen3.5-4B-qat-lean-4bit-mlx 
Base Model(s)  Qwen/Qwen3.5-4B   Qwen/Qwen3.5-4B
Model Size4b
Required VRAM2.4 GB
Updated2026-07-23
MaintainerYoozLabs
Model Typeqwen3_5
Model Files  2.4 GB
Quantization Type4bit
Model ArchitectureQwen3_5ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.13.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

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

Rank the Qwen3.5 4B Qat Lean 4bit Mlx 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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