CodeGamers/legal-document-analysis-llama2-qlora

— Developed by: Harsha Deep Joga — Funded by [optional]: Self Project — Shared by [optional]: HarshaDeep2006 — Model type: Llama-2-7B QLoRa with RAFT — Language(s) (NLP): English — License: MIT — Finetuned from model [optional]: meta-llama/Llama-2-7b-hf — Repository: [More Information Needed] — Paper [optional]: [More Information Needed] — Demo [optional]: [More Information Needed] Users (both direct and downstream) should be made aware of the risks, biases and limitations of More information needed for further recommendations. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). — Hardware Type: [More Information Needed] — Hours used: [More Information Needed] — Cloud Provider: [More Information Needed] — Compute Region: [More Information Needed] — Carbon Emitted: [More Information Needed]

Модальности:
Генерация текста

Задача: Генерация текста
Автор: CodeGamers
Теги: peft, lora, en
Лайков: 3  |  Загрузок: 24

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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.