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AV BI Qwen2.5 32B PT BR Instruct by amadeusai

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AV BI Qwen2.5 32B PT BR Instruct is an open-source language model by amadeusai. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.18.

  Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-32b   Chat   Conversational   Endpoints compatible   Instruct   Pt   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/amadeusai/AV-BI-Qwen2.5-32B-PT-BR-Instruct 

AV BI Qwen2.5 32B PT BR Instruct Benchmarks

LLME Score: 0.18053
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AV BI Qwen2.5 32B PT BR Instruct (amadeusai/AV-BI-Qwen2.5-32B-PT-BR-Instruct)
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AV BI Qwen2.5 32B PT BR Instruct Parameters and Internals

LLM NameAV BI Qwen2.5 32B PT BR Instruct
Repository 🤗https://huggingface.co/amadeusai/AV-BI-Qwen2.5-32B-PT-BR-Instruct 
Base Model(s)  Qwen/Qwen2.5-32B   Qwen/Qwen2.5-32B
Model Size32b
Required VRAM65.8 GB
Updated2025-05-19
Maintaineramadeusai
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14   0.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.47.1
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 amadeusai/AV-BI-Qwen2.5-32B-PT-BR-Instruct.

Rank the AV BI Qwen2.5 32B 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  
Code Generation  
Multi-Language Support and Translation  

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