deccan-ai/phi-2-insurance_qa-sft-lora-gguf-f16

INVALID LANGUAGE PAIR SPECIFIED. EXAMPLE: LANGPAIR=EN|IT USING 2 LETTER ISO OR RFC3066 LIKE ZH-CN. ALMOST ALL LANGUAGES SUPPORTED BUT SOME MAY HAVE NO CONTENT The content of this dataset consists of questions from real world users, the answers with high quality were composed by insurance professionals with deep domain knowledge. Since the dataset isn’t available in a readable format on the web, we make it available on huggingface in a jsonl format, at deccan-ai/insuranceQA-v2. You can use the llama.cpp library to infer from this model. Download the model weights and setup the llama.cpp library. Architecture: Phi-2, with LoRA modifications for efficient Insurance domain-specific fine-tuning. Context length: 2048 tokens Modifications: Added ` for end-of-response learning — to help the model learn the end of responses, facilitating its use in dialogue systems. Hyperparameters: learningrate=2e-5, …

Модальности:
Генерация текста

Задача: Генерация текста
Автор: deccan-ai
Теги: gguf, phi, nlp, insurance, lora, llm, phi-2, qa
Лайков: 3  |  Загрузок: 76

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