Microsoft Phi-4 (14B) - This Opensource LLM is a MINI BEAST! The Best 14B Model YET! (Beats Qwen!)
AI Summary
Summary of the Video Transcript
- Microsoft launched a new small language model called 54 54, part of the FI family, with 14 billion parameters.
- It is designed to run on computers with 16 GB VRAM or Macs with 24 GB of RAM.
- The model is touted to be cost-effective for inference and capable of complex reasoning, including math and conventional language processing.
Benchmarks
- The technical report shows 54 54 outperforms Quin 2.51 14b in most benchmarks, closely matches llama 337b, and even beats GPT 40 in some.
- However, it supports a shorter context length of 16k tokens compared to the common 128k.
Availability and Usage
- The model is accessible on Azure AI Foundry and will be on Hugging Face.
- Some users have extracted and shared the model weights, making them available on Hugging Face and AMA for local use.
- To use the model effectively, it is recommended to set the temperature to 0.5, top probability to 0.5, and context length to 16k.
Testing the Model
- The model was tested with 13 questions covering various topics and tasks, including reasoning, math, and coding.
- It performed well, passing most tests and demonstrating capabilities comparable to larger models.
Final Thoughts
- The 54 54 model is highly praised for its performance relative to its size.
- The technical paper detailing the model’s development is also commended.
No URLs or CLI commands were provided in the transcript.