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Model: prithivMLmods/Llama-3.2-3B-Promptist-Mini
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---
license: creativeml-openrail-m
datasets:
- prithivMLmods/Prompt-Enhancement-Mini
language:
- en
base_model:
- meta-llama/Llama-3.2-3B-Instruct
pipeline_tag: text-generation
tags:
- Ollama
- trl
- safetensors
- pytorch
- long_prompts
- prompt_enhancement
- short_prompt
- Prompts
- Image-Generation-Long-Prompt
---
### **Llama-3.2-3B-Promptist-Mini Model Files**
The **Llama-3.2-3B-Promptist-Mini** is a fine-tuned version of the **Llama-3.2-3B-Instruct** model, specifically optimized for prompt engineering and enhancement tasks. It is ideal for generating and enhancing various types of text prompts, offering high performance in creative and instructional applications. The model leverages a smaller, more efficient architecture suited for fine-tuning and prompt-based use cases.
| File Name | Size | Description | Upload Status |
|----------------------------------------|------------|------------------------------------------------|----------------|
| `.gitattributes` | 1.52 kB | Git attributes configuration file | Uploaded |
| `README.md` | 287 Bytes | Updated README file | Updated |
| `config.json` | 940 Bytes | Model configuration settings | Uploaded |
| `generation_config.json` | 162 Bytes | Generation-specific configurations | Uploaded |
| `merges.txt` | 515 kB | Merging information for tokenization | Uploaded |
| `pytorch_model.bin` | 3.42 GB | Full model weights (PyTorch format) | Uploaded (LFS) |
| `special_tokens_map.json` | 572 Bytes | Mapping for special tokens used by the model | Uploaded |
| `tokenizer.json` | 3.77 MB | Tokenizer configuration and vocabulary | Uploaded |
| `tokenizer_config.json` | 3.95 kB | Tokenizer configuration for loading and usage | Uploaded |
| `vocab.json` | 801 kB | Vocabulary for the tokenizer | Uploaded |
![Screenshot 2024-12-04 161304.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/2E_LNf0mGFUjab55O1AfV.png)
### **Key Features:**
1. **Prompt Engineering and Enhancement:**
This model is fine-tuned to generate and improve prompts for various applications, such as question generation, creative writing, and instruction-following tasks.
2. **Text Generation:**
It excels in generating coherent and contextually relevant text based on the given prompts. The model can be used for a wide range of text-based applications, including content creation and automated text generation.
3. **Custom Tokenizer:**
Includes a tokenizer optimized for handling specialized tokens related to prompt-based tasks, ensuring the model performs well in generating creative and logical text.
---
### **Training Details:**
- **Base Model:** [Llama-3.2-3B-Instruct](#)
- **Dataset:** Trained on **Prompt-Enhancement-Mini**, a dataset specifically designed to enhance prompt generation, with examples tailored to creative and instructional contexts.
---
### **Capabilities:**
- **Prompt Generation and Enhancement:**
The model can generate and enhance prompts for various tasks, including machine learning, creative writing, and instructional content.
- **Text Generation:**
It excels at generating coherent, structured, and contextually appropriate text from user inputs, making it suitable for a wide variety of text-based applications.
---
### **Usage Instructions:**
1. **Model Setup:** Download all model files and ensure the PyTorch model weights and tokenizer configurations are included.
2. **Inference:** Load the model in a Python environment using frameworks like PyTorch or Hugging Face's Transformers.
3. **Customization:** Configure the model with the `config.json` and `generation_config.json` files for optimal performance during inference.
---

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"rope_theta": 500000.0,
"tie_word_embeddings": true,
"torch_dtype": "float16",
"transformers_version": "4.46.2",
"unsloth_version": "2024.12.1",
"use_cache": true,
"vocab_size": 128256
}

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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

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