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Qwen1.5 1.8B Chat 4bit by mlx-community

 »  All LLMs  »  mlx-community  »  Qwen1.5 1.8B Chat 4bit   URL Share it on

  43   
  4bit   Chat   Conversational   En   Mlx   Quantized   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen1.5-1.8B-Chat-4bit 

Qwen1.5 1.8B Chat 4bit Benchmarks

ARC: 38.74 vs 96.7 (so35)-59.9%
HellaSwag: 60.02 vs 95.3 (gpt4)-37%
MMLU: 45.87 vs 88.3 (so35)-48.1%
TruthfulQA: 40.62 vs 59 (gpt4)-31.2%
WinoGrande: 59.67 vs 87.5 (gpt4)-31.8%
GSM8K: 19.03 vs 96.4 (so35)-80.3%
LLME Score: 0.18503
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Qwen1.5 1.8B Chat 4bit Parameters and Internals

Model Type 
text-generation, chat
Additional Notes 
Model was converted to MLX format.
Supported Languages 
en (Proficient)
LLM NameQwen1.5 1.8B Chat 4bit
Repository 🤗https://huggingface.co/mlx-community/Qwen1.5-1.8B-Chat-4bit 
Base Model(s)  deltawi/Qwen-1.5-1.8B-SQL   deltawi/Qwen-1.5-1.8B-SQL
Model Size1.8b
Required VRAM1.5 GB
Updated2025-06-09
Maintainermlx-community
Model Typeqwen2
Model Files  1.5 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
Qwen1.5 1.8B Chat 4bit (mlx-community/Qwen1.5-1.8B-Chat-4bit)

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen1.5-1.8B-Chat-4bit.

Rank the Qwen1.5 1.8B Chat 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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