Mistral NeMo - Easiest Local Installation - Thorough Testing with Function Calling

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AI Summary

Summary of Video Transcript

• Introduction to Mistol Nemo:
  • Mistol Nemo is a new AI model from Mistol, based on the character Nemo from Disney’s “Finding Nemo.”
  • It is a 12 billion parameter model developed in collaboration with Nvidia.
  • Nemo has a large context window of up to 128k tokens and boasts state-of-the-art reasoning, world knowledge, and coding accuracy.
  • It is designed as a drop-in replacement for systems using the Mistol 7 billion model.
• Features of Mistol Nemo:
  • Pre-trained base and instruction-tuned checkpoints under Apache 2 license.
  • Trained with quantization awareness for FP8 inference without performance loss.
  • Outperforms other models on benchmarks such as natural questions, Grand, and HellaSwag.
  • Multilingual support for languages including Hindi, Arabic, Korean, Japanese, Chinese, Portuguese, Italian, Spanish, German, French, and English.
  • New tokenizer named Taken, based on TI token tokenizer, which is more efficient than the sentence piece tokenizer used in previous models.
  • Advanced fine-tuning and alignment phase, improving instruction following, multi-turn conversation, and code generation.
• Installation and Testing:
  • The video demonstrates the local installation of Mistol Nemo.
  • The process includes setting up a virtual environment, installing prerequisites like PyTorch, Transformers, Mol Inference, and Hugging Face Hub.
  • The model and a new tokenizer are downloaded and tested in a Jupyter Notebook.
  • Various prompts are tested to evaluate the model’s capabilities in prose, reasoning, humor, multilingual translation, and code generation and repair.
• Function Calling Capabilities:
  • Mistol Nemo can create API interfaces for function calling, allowing integration with applications and intelligent natural language processing.
• Conclusion:
  • The video concludes with a positive review of Mistol Nemo’s capabilities and an invitation for feedback and support for the channel.

Detailed Instructions and URLs

• No specific CLI commands, website URLs, or detailed instructions were provided in the transcript.