Extensible output-vocabulary pruning for decoder-only LLMs while preserving multilingual input embeddings. Tested on Qwen2/Qwen2.5 and Gemma 3.
What is the chamsechan/llm-vocab-pruner GitHub project? Description: "Extensible output-vocabulary pruning for decoder-only LLMs while preserving multilingual input embeddings. Tested on Qwen2/Qwen2.5 and Gemma 3.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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