Hugging Face Overview
Model Overview
atomwalk12/LinalgZero-SFT is a 3.1 billion parameter language model, specifically a fine-tuned version of atomwalk12/LinalgZero-SFT-LoRA. It has been instruction-tuned using the TRL framework on the atomwalk12/linalgzero-sft dataset, which focuses on supervised fine-tuning (SFT).
Key Capabilities
- Instruction Following: The model is designed to generate responses based on user prompts, as demonstrated by its quick start example.
- Conversational Text Generation: Optimized through SFT, it is suitable for generating human-like text in response to questions or conversational inputs.
- Extended Context Window: Features a context length of 32768 tokens, allowing it to process and generate longer sequences of text while maintaining coherence.
Training Details
The model's training procedure involved Supervised Fine-Tuning (SFT) using the TRL library. The training process and metrics can be visualized via its Weights & Biases run.
Good For
- General Text Generation: Ideal for applications requiring the generation of diverse text formats.
- Question Answering: Can be used to answer open-ended questions based on its training.
- Conversational AI: Suitable for integration into chatbots or interactive systems where coherent and contextually relevant responses are needed.