biomistral q2k q3km q8 comparison

Patrick Devaney · Intermediate ·🧠 Large Language Models ·2y ago

Key Takeaways

This video compares the performance of biomistral7b-Q_2_K, Q_K_M, and Q8 models on a medical scenario prompt

Original Description

Demo of performance for a medical scenario prompt with biomistral7b-Q_2_K, Q_K_M, and Q8. Q3_K_M is best for time and output quality in this test. In a production environment a hospital might use GPT-4, BLOOM, or a larger parameter Mistral model. In the near future text gen, computer vision, and multi-modal models will approach 100% accuracy and instantaneous response time. Speed and accuracy won't be problems. Local hardware will be adequate for text gen, whereas cloud models will be necessary for digital twinning and other spatial use cases.
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