Llama 4
lastmod 2025-04-09created 2025-04-082 edits
Llama 4 is the most Korean-friendly open-source model
- Llama 4 is the most Korean-friendly open-source model. | GeekNews
- Github - sionic-ai/Llama4-Token-Editor
- (Sionic Llama 4 Token Editor) Llama 4 is the most Korean-friendly open-source model
According to the Sionic AI research team, Llama 4, released by Meta last Sunday, is the most Korean-friendly open-source model.
In terms of Korean representation, llama4's tokenizer configuration is 2.5 times better than the previous Llama3.3, and is also significantly improved over Qwen, which until now had the highest ratio of Korean support.
Understanding these Korean BPE tokens can directly and substantially help with implementations on various devices (NPU, GPU, FPGA) and with token generation strategies that require low-level, high performance. In particular, it can solve the problem of strange languages such as Chinese being generated.
Sionic Llama4 Token Editor is a tool that analyzes the tokenizers of Llama and Qwen family models and can adjust the weights of tokens in specific categories.
- Token classification: exhaustively examines and classifies tokens in various categories such as Hangul (Korean script), English, and special characters.
- Weight adjustment: based on the analyzed token list, the log probability of Hangul tokens can be raised or lowered, directly affecting the model's generated output.
- JSON and text output: saves the full analysis results as a JSON file, and separately outputs the lists of classified and unclassified token IDs as text files.