Qwen2 72B Instruct 4bit by mlx-community

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Qwen2 72B Instruct 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2 72B Instruct 4bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model was converted to MLX format using mlx-lm version 0.14.2.
LLM NameQwen2 72B Instruct 4bit
Repository ๐Ÿค—https://huggingface.co/mlx-community/Qwen2-72B-Instruct-4bit 
Base Model(s)  Qwen2 72B Instruct   Qwen/Qwen2-72B-Instruct
Model Size72b
Required VRAM40.9 GB
Updated2024-11-21
Maintainermlx-community
Model Typeqwen2
Instruction-BasedYes
Model Files  5.4 GB: 1-of-8   5.3 GB: 2-of-8   5.3 GB: 3-of-8   5.3 GB: 4-of-8   5.3 GB: 5-of-8   5.3 GB: 6-of-8   5.3 GB: 7-of-8   3.7 GB: 8-of-8
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Qwen2 72B Instruct 4bit (mlx-community/Qwen2-72B-Instruct-4bit)

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ECE ILAB Q132K / 77.8 GB24750
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Qwen2.5 72B Instruct 4bit32K / 40.9 GB2183
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Qwen2 72B Instruct Bnb 4bit32K / 41.2 GB767
...struct Mix Calibration 4B EXL232K / 38.8 GB52
Qwen2 72B Instruct Bpw5.5 EXL232K / 51.8 GB51
...n2 72B Instruct 3.5bpw H6 EXL232K / 34.3 GB112
Qwen2 72B Instruct Bpw4 EXL232K / 38.7 GB60
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen2-72B-Instruct-4bit.

Rank the Qwen2 72B Instruct 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 v20241110