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Phi 3 Portuguese Tom Cat 4K Instruct by rhaymison

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  Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/phi-3-min...   Conversational   Custom code   Dataset:rhaymison/superset   Endpoints compatible   Instruct   Model-index   Phi   Phi3   Portugues   Portuguese   Pt   Qa   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rhaymison/phi-3-portuguese-tom-cat-4k-instruct 

Phi 3 Portuguese Tom Cat 4K Instruct Benchmarks

LLME Score: 0.18427
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Portuguese Tom Cat 4K Instruct (rhaymison/phi-3-portuguese-tom-cat-4k-instruct)

Phi 3 Portuguese Tom Cat 4K Instruct Parameters and Internals

Model Type 
text-generation
Additional Notes 
Trained to fill the gap in Portuguese language models. Offers enhanced compatibility with GGUF family.
Supported Languages 
pt (high)
Training Details 
Data Sources:
rhaymison/superset
Data Volume:
300,000 instructions
Methodology:
Tuned from Phi-3-mini-4k
Input Output 
Accepted Modalities:
text
Performance Tips:
Ensure to guide the model with verbs in the prompt for better performance.
LLM NamePhi 3 Portuguese Tom Cat 4K Instruct
Repository 🤗https://huggingface.co/rhaymison/phi-3-portuguese-tom-cat-4k-instruct 
Base Model(s)  Phi 3 Mini 4K Instruct   microsoft/Phi-3-mini-4k-instruct
Model Size3.8b
Required VRAM15.4 GB
Updated2025-02-22
Maintainerrhaymison
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   0.4 GB: 4-of-4
Supported Languagespt
Model ArchitecturePhi3ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than rhaymison/phi-3-portuguese-tom-cat-4k-instruct.

Rank the Phi 3 Portuguese Tom Cat 4K 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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Release v20241227
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