Hugging Face Overview
SmolTuring-8B-Instruct Overview
SmolTuring-8B-Instruct is an 8 billion parameter instruction-tuned language model developed by safe049. It is based on the Llama architecture and features a substantial context length of 32768 tokens, allowing it to process and generate longer sequences of text. The model was fine-tuned from safe049/SmolLumi-8B-Instruct.
Key Characteristics
- Efficient Training: This model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Llama-based Architecture: Built upon the Llama model family, it inherits robust language understanding and generation capabilities.
- Instruction-Tuned: Optimized for following instructions and performing a variety of natural language tasks as directed by user prompts.
Potential Use Cases
- General Instruction Following: Suitable for applications requiring the model to adhere to specific commands or formats.
- Text Generation: Can be used for generating coherent and contextually relevant text based on prompts.
- Research and Development: Its efficient training method makes it an interesting candidate for further experimentation and fine-tuning on specific datasets.