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Qwen3-8B model tokenization process demonstrated on MacBook

By PulseAugur Editorial · [1 sources] ·

A demonstration of how large language models process words, specifically focusing on tokenization, was presented using the Qwen3-8B model. The experiment involved running the model on a MacBook to record token IDs and next-token probabilities. This exploration aims to illustrate the internal workings of AI by examining how words are broken down into tokens. AI

IMPACT Illustrates the fundamental tokenization process in LLMs, crucial for understanding model behavior and limitations.

RANK_REASON Demonstration of model tokenization process. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen3-8B model tokenization process demonstrated on MacBook

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Demonstration of model tokenization process. [lever_c_demoted from research: ic=1 ai=1.0]
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  1. Mastodon — mastodon.social TIER_1 English(EN) · R4TSQ ·

    Part 2 of 4, How AI Actually Works: how many r's are in strawberry? To the model it is one token, one number. I ran a real 8B model (Qwen3-8B, 4-bit, llama.cpp)

    Part 2 of 4, How AI Actually Works: how many r's are in strawberry? To the model it is one token, one number. I ran a real 8B model (Qwen3-8B, 4-bit, llama.cpp) on my MacBook and recorded the real token IDs, the top-20 next-token odds and a temperature dial sampled fifteen times.…

    LINKS youtube.com/watch

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