Amadeus Verbo BI Qwen 2.5 3B PT BR Instruct Experimental by amadeusai

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Amadeus Verbo BI Qwen 2.5 3B PT BR Instruct Experimental is an open-source language model by amadeusai. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.16.

  Arxiv:2506.00019 Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-3b   Conversational   Endpoints compatible   Instruct   Pt   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Amadeus Verbo BI Qwen 2.5 3B PT BR Instruct Experimental Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Amadeus Verbo BI Qwen 2.5 3B PT BR Instruct Experimental Parameters and Internals

LLM NameAmadeus Verbo BI Qwen 2.5 3B PT BR Instruct Experimental
Repository 🤗https://huggingface.co/amadeusai/Amadeus-Verbo-BI-Qwen-2.5-3B-PT-BR-Instruct-Experimental 
Base Model(s)  Qwen/Qwen2.5-3B   Qwen/Qwen2.5-3B
Model Size3b
Required VRAM6.2 GB
Updated2026-05-05
Maintaineramadeusai
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2   12.3 GB   0.0 GB
Supported Languagespt
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than amadeusai/Amadeus-Verbo-BI-Qwen-2.5-3B-PT-BR-Instruct-Experimental.

Rank the Amadeus Verbo BI Qwen 2.5 3B PT BR Instruct Experimental 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 v20260328a