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Chargpt 96M
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Chargpt 96M
Developed by inkoziev
CharGPT-96M is a small language model that uses character-level tokenization, suitable for various experimental scenarios, especially when BPE (subword) tokenization leads to poor task performance.
Downloads 70
Release Time : 8/15/2023
Model Overview
This is a small language model with character-level tokenization, designed for experimental scenarios and particularly suitable for tasks where BPE tokenization performs poorly.
Model Features
Character-level tokenization
Uses character-level tokenization to avoid the performance issues of BPE tokenization in certain tasks.
Small model
With 96M parameters, it is suitable for experiments and lightweight applications.
Russian language support
Specifically supports Russian text processing.
Model Capabilities
Text generation
Character-level language modeling
Use Cases
Experimental research
Character-level language model experiments
Used to study the effects of character-level tokenization in language models.
Text generation
Russian text generation
Generates Russian text, suitable for scenarios requiring character-level control.
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