Hugging Face MaziyarPanahi/calme-3.1-instruct-3b Overview
This model is an instruction-tuned variant of the Qwen/Qwen2.5-3B base model, developed by MaziyarPanahi. It features 3.1 billion parameters and supports a context length of 32768 tokens. The primary focus of this iteration is to enhance its performance and capabilities across a wide range of generic tasks through fine-tuning.
Key Characteristics
- Base Model: Built upon
Qwen/Qwen2.5-3B. - Parameter Count: 3.1 billion parameters.
- Context Length: Supports a substantial 32768 tokens, allowing for processing longer inputs and generating more extensive outputs.
- Fine-tuning Objective: Enhanced for generic domain performance, aiming for improved instruction following and general utility.
- Prompt Template: Utilizes the
ChatMLprompt template for structured conversational interactions.
Usage and Considerations
Given its relatively small size, the model might exhibit sensitivity to hyperparameters and may not perform optimally for all complex prompts. Users are encouraged to provide feedback for future iterations. Quantized GGUF versions are available for efficient deployment. As with any LLM, ethical considerations regarding potential biases and limitations are advised, recommending safeguards and human oversight in production environments.