Qwen2 57B A14B Instruct 8bit by mlx-community

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Qwen2 57B A14B Instruct 8bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 57B A14B Instruct 8bit (mlx-community/Qwen2-57B-A14B-Instruct-8bit)

Qwen2 57B A14B Instruct 8bit Parameters and Internals

Model Type 
text generation
Additional Notes 
The model was converted to MLX format for easier deployment.
Supported Languages 
language (en), proficiency (native)
LLM NameQwen2 57B A14B Instruct 8bit
Repository ๐Ÿค—https://huggingface.co/mlx-community/Qwen2-57B-A14B-Instruct-8bit 
Base Model(s)  Qwen2 57B A14B Instruct   Qwen/Qwen2-57B-A14B-Instruct
Model Size57b
Required VRAM61.1 GB
Updated2025-02-22
Maintainermlx-community
Model Typeqwen2_moe
Instruction-BasedYes
Model Files  4.9 GB: 1-of-13   4.9 GB: 2-of-13   4.9 GB: 3-of-13   5.2 GB: 4-of-13   4.9 GB: 5-of-13   4.9 GB: 6-of-13   5.2 GB: 7-of-13   4.9 GB: 8-of-13   4.9 GB: 9-of-13   5.2 GB: 10-of-13   4.9 GB: 11-of-13   4.9 GB: 12-of-13   1.4 GB: 13-of-13
Supported Languagesen
Quantization Type8bit
Model ArchitectureQwen2MoeForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
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/Qwen2-57B-A14B-Instruct-8bit.

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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 v20241227