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AV BI Qwen2.5 3B PT BR Instruct by amadeusai

 »  All LLMs  »  amadeusai  »  AV BI Qwen2.5 3B PT BR Instruct   URL Share it on

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  Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-3b   Conversational   Endpoints compatible   Instruct   Pt   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/amadeusai/AV-BI-Qwen2.5-3B-PT-BR-Instruct 

AV BI Qwen2.5 3B PT BR Instruct Benchmarks

LLME Score: 0.22055
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 3B PT BR Instruct (amadeusai/AV-BI-Qwen2.5-3B-PT-BR-Instruct)

AV BI Qwen2.5 3B PT BR Instruct Parameters and Internals

LLM NameAV BI Qwen2.5 3B PT BR Instruct
Repository 🤗https://huggingface.co/amadeusai/AV-BI-Qwen2.5-3B-PT-BR-Instruct 
Base Model(s)  Qwen/Qwen2.5-3B   Qwen/Qwen2.5-3B
Model Size3b
Required VRAM6.2 GB
Updated2025-04-30
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
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/AV-BI-Qwen2.5-3B-PT-BR-Instruct.

Rank the AV BI Qwen2.5 3B 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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