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AV BI Qwen2.5 72B PT BR Instruct by amadeusai

 »  All LLMs  »  amadeusai  »  AV BI Qwen2.5 72B PT BR Instruct   URL Share it on

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  Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-72b   Conversational   Endpoints compatible   Instruct   Pt   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/amadeusai/AV-BI-Qwen2.5-72B-PT-BR-Instruct 

AV BI Qwen2.5 72B PT BR Instruct Benchmarks

LLME Score: 0.2337
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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AV BI Qwen2.5 72B PT BR Instruct Parameters and Internals

LLM NameAV BI Qwen2.5 72B PT BR Instruct
Repository 🤗https://huggingface.co/amadeusai/AV-BI-Qwen2.5-72B-PT-BR-Instruct 
Base Model(s)  Qwen/Qwen2.5-72B   Qwen/Qwen2.5-72B
Model Size72b
Required VRAM146 GB
Updated2025-05-19
Maintaineramadeusai
Model Typeqwen2
Instruction-BasedYes
Model Files  4.5 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   3.2 GB: 30-of-31   2.5 GB: 31-of-31
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Vocabulary Size152064
Torch Data Typebfloat16
AV BI Qwen2.5 72B PT BR Instruct (amadeusai/AV-BI-Qwen2.5-72B-PT-BR-Instruct)

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EVA Qwen2.5 72B V0.2128K / 146 GB6919
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...2B PT BR Instruct Experimental128K / 146 GB280
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Note: green Score (e.g. "73.2") means that the model is better than amadeusai/AV-BI-Qwen2.5-72B-PT-BR-Instruct.

Rank the AV BI Qwen2.5 72B PT BR 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  
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Multi-Language Support and Translation  

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