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Qwen3 14B 4bit AWQ by mlx-community

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Qwen3 14B 4bit AWQ is an open-source language model by mlx-community. Features: 14b LLM, VRAM: 8.3GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.2.

  4-bit   4bit   Awq Base model:quantized:unsloth/q...   Base model:unsloth/qwen3-14b   Conversational   Mlx   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen3-14B-4bit-AWQ 

Qwen3 14B 4bit AWQ Benchmarks

LLME Score: 0.20029
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 14B 4bit AWQ (mlx-community/Qwen3-14B-4bit-AWQ)
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Qwen3 14B 4bit AWQ Parameters and Internals

LLM NameQwen3 14B 4bit AWQ
Repository 🤗https://huggingface.co/mlx-community/Qwen3-14B-4bit-AWQ 
Base Model(s)  Qwen3 14B   unsloth/Qwen3-14B
Model Size14b
Required VRAM8.3 GB
Updated2026-05-26
Maintainermlx-community
Model Typeqwen3
Model Files  5.3 GB: 1-of-2   3.0 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen3-14B-4bit-AWQ.

Rank the Qwen3 14B 4bit AWQ 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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