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Amadeus Verbo BI Qwen 2.5 7B PT BR Instruct Experimental by amadeusai

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  Arxiv:2506.00019   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b   Conversational   Endpoints compatible   Instruct   Pt   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/amadeusai/Amadeus-Verbo-BI-Qwen-2.5-7B-PT-BR-Instruct-Experimental 

Amadeus Verbo BI Qwen 2.5 7B PT BR Instruct Experimental Benchmarks

LLME Score: 0.21078
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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Amadeus Verbo BI Qwen 2.5 7B PT BR Instruct Experimental Parameters and Internals

LLM NameAmadeus Verbo BI Qwen 2.5 7B PT BR Instruct Experimental
Repository 🤗https://huggingface.co/amadeusai/Amadeus-Verbo-BI-Qwen-2.5-7B-PT-BR-Instruct-Experimental 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-06-09
Maintaineramadeusai
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   30.5 GB   0.0 GB
Supported Languagespt
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Amadeus Verbo BI Qwen 2.5 7B PT BR Instruct Experimental (amadeusai/Amadeus-Verbo-BI-Qwen-2.5-7B-PT-BR-Instruct-Experimental)

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Note: green Score (e.g. "73.2") means that the model is better than amadeusai/Amadeus-Verbo-BI-Qwen-2.5-7B-PT-BR-Instruct-Experimental.

Rank the Amadeus Verbo BI Qwen 2.5 7B PT BR Instruct Experimental Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20241124
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