Finance Lora Smollm2 1.7b

Finance Lora Smollm2 1.7b is a LoRA adapter designed for use with the SmolLM2-1.7B-Instruct language model. According to the available information, this adapter has been fine-tuned on the gbharti/finance-alpaca dataset, which focuses on financial instruction data. The tool is intended to be used with the MLX library and can be integrated into workflows via libraries, inference providers, notebooks, and local applications. Instructions are provided for downloading the model from the Hugging Face Hub and for loading it with MLX, specifying the base model and adapter path. The model card notes that the adapter was produced by slm-training and that it achieved a reduction in test perplexity from 5.821 (base) to 5.072 (tuned) across three seeds, indicating improved performance on the financial instruction dataset. There is no information provided about the intended user base beyond what can be inferred from its focus on financial instruction data. Details about licensing, pricing, or open-source status are not specified in the evidence. The tool is delivered as a downloadable model adapter compatible with the Hugging Face ecosystem and MLX library. No further details about features, integrations, or supported platforms are available from the provided evidence.