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20+ производительных LLM, написанных с нуля, с подробным описанием, инструкциями, файнтюнигу и деплою.
Особенности: 🟢 Модели написаны с нуля 🟢 Нет абстракций 🟢 Подходит для обучения новичков 🟢 Flash attention 🟢 FSDP 🟢 LoRA, QLoRA, Adapter 🟢 Уменьшение памяти GPU (fp4/8/16/32) 🟢 1-1000+ GPU/TPUs 🟢 20+ LLMs
Установка:
pip install 'litgpt[all]'
Пример:
from litgpt import LLM
llm = LLM.load("microsoft/phi-2") text = llm.generate("Fix the spelling: Every fall, the familly goes to the mountains.") print(text) # Corrected Sentence: Every fall, the family goes to the mountains.
20+ производительных LLM, написанных с нуля, с подробным описанием, инструкциями, файнтюнигу и деплою.
Особенности: 🟢 Модели написаны с нуля 🟢 Нет абстракций 🟢 Подходит для обучения новичков 🟢 Flash attention 🟢 FSDP 🟢 LoRA, QLoRA, Adapter 🟢 Уменьшение памяти GPU (fp4/8/16/32) 🟢 1-1000+ GPU/TPUs 🟢 20+ LLMs
Установка:
pip install 'litgpt[all]'
Пример:
from litgpt import LLM
llm = LLM.load("microsoft/phi-2") text = llm.generate("Fix the spelling: Every fall, the familly goes to the mountains.") print(text) # Corrected Sentence: Every fall, the family goes to the mountains.
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