NuExtract tiny v1.5 by NuMind 🔥 NuExtract tiny v1.5 is a fine tuning of Qwen/Qwen2.5 0.5B, trained on a private high quality dataset for structured information extraction. It supports long documents and several languages (English, French, Spanish, German, Portuguese, and Italian). To use the model, provide an input text and a JSON template describing the information you need to extract. Note: This model is trained to prioritize pure extraction, so in most cases all text generated by the model is present as is in the original text. We also provide a 3.8B version which is based on Phi 3.5 mini instruct: NuExtract v1.5 Check out the blog post. Try the 3.8B model here: Playground ⚠️ We recommend using NuExtract with a temperature at or very close to 0. Some inference frameworks, such as Ollama, use a default of 0.7 which is not well suited to pure extraction tasks. Benchmark Zero shot performance (English): Few shot fine tuning: Usage To use the model: Sliding window prompting:
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