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Qwen2 72B Instruct Unquantized by mlx-community

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Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen2-72B-Instruct-unquantized 

Qwen2 72B Instruct Unquantized Benchmarks

LLME Score: 0.19089
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 Unquantized (mlx-community/Qwen2-72B-Instruct-unquantized)

Qwen2 72B Instruct Unquantized Parameters and Internals

Model Type 
text generation
LLM NameQwen2 72B Instruct Unquantized
Repository 🤗https://huggingface.co/mlx-community/Qwen2-72B-Instruct-unquantized 
Model Size72b
Required VRAM146.3 GB
Updated2025-02-22
Maintainermlx-community
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-28   5.3 GB: 2-of-28   5.3 GB: 3-of-28   5.3 GB: 4-of-28   5.3 GB: 5-of-28   5.3 GB: 6-of-28   5.3 GB: 7-of-28   5.3 GB: 8-of-28   5.3 GB: 9-of-28   5.3 GB: 10-of-28   5.3 GB: 11-of-28   5.3 GB: 12-of-28   5.3 GB: 13-of-28   5.3 GB: 14-of-28   5.3 GB: 15-of-28   5.3 GB: 16-of-28   5.3 GB: 17-of-28   5.3 GB: 18-of-28   5.3 GB: 19-of-28   5.3 GB: 20-of-28   5.3 GB: 21-of-28   5.3 GB: 22-of-28   5.3 GB: 23-of-28   5.3 GB: 24-of-28   5.3 GB: 25-of-28   5.3 GB: 26-of-28   5.3 GB: 27-of-28   3.5 GB: 28-of-28
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2 72B Instruct Unquantized

Best Alternatives
Context / RAM
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Likes
EVA Qwen2.5 72B V0.2128K / 146 GB239416
AceInstruct 72B128K / 146 GB18714
...n2.5 72B 2x Instruct TIES V1.0128K / 146.1 GB80
72B Qwen2.5 Kunou V1128K / 146 GB86021
...A Abliterated TIES Qwen2.5 72B128K / 146.1 GB520
EVA Qwen2.5 72B V0.1128K / 146 GB86115
EVA Qwen2.5 72B V0.0128K / 146 GB1035
Qwen2.5 72B Instruct32K / 145.5 GB354013741
Athene V2 Chat32K / 146 GB9149280
Qwen2 72B Instruct32K / 145.5 GB47866706
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen2-72B-Instruct-unquantized.

Rank the Qwen2 72B Instruct Unquantized 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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Release v20241227
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