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Qwen2.5 72B 0.6x Instruct by ddh0

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  Ara   Autotrain compatible Base model:merge:qwen/qwen2.5-... Base model:merge:qwen/qwen2.5-...   Base model:qwen/qwen2.5-72b Base model:qwen/qwen2.5-72b-in...   Chat   Conversational   Deu   Endpoints compatible   Eng   Fra   Instruct   Ita   Jpn   Kor   Por   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/ddh0/Qwen2.5-72B-0.6x-Instruct 

Qwen2.5 72B 0.6x Instruct Benchmarks

LLME Score: 0.20229
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 0.6x Instruct (ddh0/Qwen2.5-72B-0.6x-Instruct)
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Qwen2.5 72B 0.6x Instruct Parameters and Internals

LLM NameQwen2.5 72B 0.6x Instruct
Repository 🤗https://huggingface.co/ddh0/Qwen2.5-72B-0.6x-Instruct 
Base Model(s)  Qwen/Qwen2.5-72B   Qwen/Qwen2.5-72B-Instruct   Qwen/Qwen2.5-72B   Qwen/Qwen2.5-72B-Instruct
Model Size72b
Required VRAM146.1 GB
Updated2025-07-16
Maintainerddh0
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-31   5.0 GB: 2-of-31   4.8 GB: 3-of-31   4.8 GB: 4-of-31   4.8 GB: 5-of-31   5.0 GB: 6-of-31   4.8 GB: 7-of-31   4.8 GB: 8-of-31   4.8 GB: 9-of-31   5.0 GB: 10-of-31   4.8 GB: 11-of-31   4.8 GB: 12-of-31   4.8 GB: 13-of-31   5.0 GB: 14-of-31   4.8 GB: 15-of-31   4.8 GB: 16-of-31   4.8 GB: 17-of-31   5.0 GB: 18-of-31   4.8 GB: 19-of-31   4.8 GB: 20-of-31   4.8 GB: 21-of-31   5.0 GB: 22-of-31   4.8 GB: 23-of-31   4.8 GB: 24-of-31   4.8 GB: 25-of-31   5.0 GB: 26-of-31   4.8 GB: 27-of-31   4.8 GB: 28-of-31   4.8 GB: 29-of-31   5.0 GB: 30-of-31   0.3 GB: 31-of-31
Supported Languagesen
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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...2B PT BR Instruct Experimental128K / 146 GB200
... BI Qwen2.5 72B PT BR Instruct128K / 146 GB50
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72B Qwen2.5 Kunou V1128K / 146 GB5522
EVA Qwen2.5 72B V0.1128K / 146 GB11017
EVA Qwen2.5 72B V0.0128K / 146 GB1575
Qwen2.5 72B Instruct32K / 145.5 GB117090841
Note: green Score (e.g. "73.2") means that the model is better than ddh0/Qwen2.5-72B-0.6x-Instruct.

Rank the Qwen2.5 72B 0.6x Instruct 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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