Mistral Small 3 LLM

A Mistral Small 3 LLM is a Mistral large language model (released by Mistral AI).

• AKA: MS3, Mistral Small-24B.
• Context:
  • It can achieve Model Performance through parameter optimization with a 24B architecture.
  • It can provide Language Processing through neural network at 150 tokens per second.
  • It can support Model Deployment through local system requirements of RTX 4090 or 32GB MacBook.
  • It can maintain Model Accuracy through benchmarking at 81% MMLU score.
  • ...
  • It can often handle Function Calling through automated workflows.
  • It can often enable Customer Service through virtual assistants.
  • It can often perform Sentiment Analysis through text processing.
  • It can often support Domain Adaptation through fine tuning.
  • ...
  • It can range from being a General Purpose Assistant to being a Specialized Domain Expert, depending on its fine tuning approach.
  • It can range from being a Base Model to being an Instruction Tuned Model, depending on its training configuration.
  • ...
  • It can integrate with Hugging Face Platform for model distribution.
  • It can connect to Ollama Framework for local deployment.
  • It can support Together AI Platform for cloud inference.
  • It can utilize Kaggle Platform for collaborative development.
  • ...
• Examples:
  • Industry Applications, such as:
    • Financial Services, such as:
      • Fraud Detection Systems for transaction monitoring.
      • Risk Assessment Tools for credit evaluation.
    • Healthcare Services, such as:
      • Patient Triage Systems for medical assessment.
      • Medical Support Tools for diagnostic assistance.
    • Manufacturing Systems, such as:
      • Robotics Control Systems for automated operation.
      • Quality Control Systems for production monitoring.
  • Deployment Platforms, such as:
    • Cloud Services, such as:
      • Mistral Platform for API access.
      • Fireworks AI for cloud deployment.
    • Local Deployments, such as:
      • Quantized Version for resource optimization.
      • Container Version for isolated execution.
  • ...
• Counter-Examples:
  • GPT-4, which requires proprietary license and cloud deployment.
  • Claude 3, which uses closed source architecture and anthropic infrastructure.
  • PaLM 2, which lacks apache license and local deployment option.
• See: Language Model, Neural Network, Model Architecture, Fine Tuning, Model Deployment, Open Source Model, Apache License.

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