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Qwen2.5 72B Instruct 8bit by mlx-community

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Qwen2.5 72B Instruct 8bit is an open-source language model by mlx-community. Features: 72b LLM, VRAM: 77.1GB, Context: 32K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

  8bit Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-72b   Chat   Conversational   En   Instruct   Mlx   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen2.5-72B-Instruct-8bit 

Qwen2.5 72B Instruct 8bit Benchmarks

LLME Score: 0.1606
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 72B Instruct 8bit (mlx-community/Qwen2.5-72B-Instruct-8bit)
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Qwen2.5 72B Instruct 8bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model was converted to MLX format from Qwen/Qwen2.5-72B-Instruct using mlx-lm version 0.18.1. It can be used with the mlx library.
Supported Languages 
en (unknown)
LLM NameQwen2.5 72B Instruct 8bit
Repository 🤗https://huggingface.co/mlx-community/Qwen2.5-72B-Instruct-8bit 
Base Model(s)  Qwen/Qwen2.5-72B   Qwen/Qwen2.5-72B
Model Size72b
Required VRAM77.1 GB
Updated2026-04-15
Maintainermlx-community
Model Typeqwen2
Instruction-BasedYes
Model Files  5.2 GB: 1-of-15   5.2 GB: 2-of-15   5.3 GB: 3-of-15   5.3 GB: 4-of-15   5.2 GB: 5-of-15   5.3 GB: 6-of-15   5.3 GB: 7-of-15   5.2 GB: 8-of-15   5.3 GB: 9-of-15   5.3 GB: 10-of-15   5.2 GB: 11-of-15   5.3 GB: 12-of-15   5.3 GB: 13-of-15   5.2 GB: 14-of-15   3.5 GB: 15-of-15
Supported Languagesen
Quantization Type8bit
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen2.5-72B-Instruct-8bit.

Rank the Qwen2.5 72B Instruct 8bit 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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