The Novaeus-Promptist-7B-Instruct is a fine-tuned large language model derived from the Qwen2.5-7B-Instruct base model. It is optimized for prompt enhancement, text generation, and instruction-following tasks, providing high-quality outputs tailored to various applications. — Base Model: Qwen2.5-7B-Instruct — Datasets Used for Fine-Tuning: — gokaygokay/prompt-enhancer-dataset: Focuses on prompt engineering with 17.9k samples. — gokaygokay/prompt-enhancement-75k: Encompasses a wider array of prompt styles with 73.2k samples. — prithivMLmods/Prompt-Enhancement-Mini: A compact dataset (1.16k samples) for iterative refinement. 1. Setup: — Ensure all necessary model files, including shards, tokenizer configurations, and index files, are downloaded and placed in the correct directory. 2. Load Model: Use PyTorch or Hugging Face Transformers to load the model and tokenizer. Ensure pytorchmodel.bin.index.json` is correctly set for efficient shard-based loading. 3. Customize Generation: Adjust parameters in generationconfig.json` to control aspects such as temperature, top-p sampling, and maximum sequence length. To run your newly created model, use the following command in your terminal:…
Модальности:
Генерация текста
Области применения:
Диалог / чат Следование инструкциям
Задача: Генерация текста
Автор: prithivMLmods
Теги: gguf, qwen2, Qwen2.5, Prompt_Enhance, Promptist_7B, Ollama, Llama-Cpp, text-generation-inference
Лайков: 4 | Загрузок: 139
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
