arunimas1107/gpt-oss-medical

This model is a LoRA adapter fine-tuned on openai/gpt-oss-20b using the PEFT library. It is optimized for medical domain tasks such as question answering, summarization, and knowledge retrieval in healthcare contexts. The adapter modifies the base model with efficient fine-tuning techniques while retaining the general-purpose reasoning capabilities of the underlying 20B parameter model. — Developed by: Arunima Surendran — Funded by: E2E Cloud — Shared by: Arunima Surendran — Model type: Large Language Model with LoRA adapter (20B base) — Language(s): English — License: Apache 2.0 — Finetuned from model: openai/gpt-oss-20b — Finetuned using: NVIDIA 2xH100 for 12+ hours on E2E Cloud TIR Instance — Medical Q&A — Clinical text summarization — Educational content generation in healthcare — Integrating into RAG pipelines with domain-specific medical knowledge base

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Генерация текста

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Задача: Генерация текста
Автор: arunimas1107
Теги: peft, lora, conversational
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