prithivMLmods/

Novaeus-Promptist-7B-Instruct

Novaeus-Promptist-7B-Instruct Uploaded Model Files

Key Features:

1. Prompt Refinement:
   Designed to enhance input prompts by rephrasing, clarifying, and optimizing for more precise outcomes.
2. Instruction Following:
   Accurately follows complex user instructions for various generation tasks, including creative writing, summarization, and question answering.
3. Customization and Fine-Tuning:
   Incorporates datasets specifically curated for prompt optimization, enabling seamless adaptation to specific user needs.

Training Details:

• 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.

Capabilities:

• Prompt Optimization:
  Automatically refines and enhances user-input prompts for better generation results.
• Instruction-Based Text Generation:
  Supports diverse tasks, including:
  • Creative writing (stories, poems, scripts).
  • Summaries and paraphrasing.
  • Custom Q&A systems.
• Efficient Fine-Tuning:
  Adaptable to additional fine-tuning tasks by leveraging the model's existing high-quality instruction-following capabilities.

Usage Instructions:

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 pytorch_model.bin.index.json is correctly set for efficient shard-based loading.
3. Customize Generation:
   Adjust parameters in generation_config.json to control aspects such as temperature, top-p sampling, and maximum sequence length.