ap-projects/Phi-3-mini-se-cve-merged-Test

TEXT GENERATIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:4kPublished:Aug 10, 2026Architecture:Transformer Featherless Exclusive Cold

ap-projects/Phi-3-mini-se-cve-merged-Test is a 4 billion parameter language model developed by ap-projects. This model is a variant of the Phi-3-mini architecture, designed for general language understanding and generation tasks. It is suitable for a range of applications requiring a compact yet capable LLM.

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Model Overview

ap-projects/Phi-3-mini-se-cve-merged-Test is a 4 billion parameter language model, part of the Phi-3-mini family, developed by ap-projects. This model is provided as a Hugging Face Transformers model, automatically pushed to the Hub.

Key Characteristics

  • Parameter Count: 4 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports a context length of 4096 tokens, enabling processing of moderately long inputs.

Intended Use Cases

While specific use cases are not detailed in the provided model card, models of this size and architecture are typically suitable for:

  • General text generation and completion.
  • Summarization of short to medium-length texts.
  • Question answering on provided contexts.
  • Lightweight conversational AI applications.
  • Experimentation and research in natural language processing.

Limitations and Considerations

The model card indicates that more information is needed regarding its development, training data, and specific evaluation results. Users should be aware of potential biases and limitations inherent in large language models, especially without detailed documentation on training and testing. Recommendations include understanding the risks, biases, and limitations before deployment.

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