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-![](https://cas-bridge.xethub.hf.co/xet-bridge-us/68df672ca9ec9af1d47c7f49/7145158a25898f06dd15a962e660168dcc23d88301d5c6d4001e10cc40baa27e?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=cas%2F20251007%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20251007T075926Z&X-Amz-Expires=3600&X-Amz-Signature=934a3f4f968d245673e42ebb3ecbd5b8e7fa1b1dc978f254e80fa84ca56048b4&X-Amz-SignedHeaders=host&X-Xet-Cas-Uid=64fdcf65010f41e43574ead1&response-content-disposition=inline%3B+filename*%3DUTF-8%27%27logo.png%3B+filename%3D%22logo.png%22%3B&response-content-type=image%2Fpng&x-id=GetObject&Expires=1759827566&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTc1OTgyNzU2Nn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2FzLWJyaWRnZS54ZXRodWIuaGYuY28veGV0LWJyaWRnZS11cy82OGRmNjcyY2E5ZWM5YWYxZDQ3YzdmNDkvNzE0NTE1OGEyNTg5OGYwNmRkMTVhOTYyZTY2MDE2OGRjYzIzZDg4MzAxZDVjNmQ0MDAxZTEwY2M0MGJhYTI3ZSoifV19&Signature=lfbWQ7JEfCthxaMxKwHBz9TC8J%7EBVQ1ythRdjN8xB8CjpdnY5HD3KR6H5B7R6U4c4zGUV6d9s5CJlOBx-9F4ltzUTtx9HF%7EKqCxk0z52dFjoH%7ECrGX2rJIyKkdEiZWa%7Eu7EKVfutwrzADQizSy0TbwU5Cvah7B4qOb7zEey2QRvGG-73SrByeLGTuYuzQGWPB9uQR71oTe3hShbKKz2qJs5eEgDaoLrZgo2Q5hazCeuHNim0VqgDkw2-c4UKF2xmRQz3TKY2eHtmw9woOZex4I2Yau0hI6XPFWapmtudCS4rHi%7EtDaA4SgRU4T8N5nnAVOVGOMpvPGoCRQSo%7EaQpew__&Key-Pair-Id=K2L8F4GPSG1IFC)
 NanoCoder is a Fill-in-the-Middle (FIM) language model specifically designed for React frontend development and coding assistance. It helps users with intelligent code autocompletion and context-aware generation. The model was fine-tuned using Unsloth on the Qwen 3 0.6B base model, leveraging a high-quality FIM dataset curated from GitHub repositories to enhance coding capabilities and developer productivity.


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4	NanoCoder is a Fill-in-the-Middle (FIM) language model specifically designed for React frontend development and coding assistance. It helps users with intelligent code autocompletion and context-aware generation. The model was fine-tuned using Unsloth on the Qwen 3 0.6B base model, leveraging a high-quality FIM dataset curated from GitHub repositories to enhance coding capabilities and developer productivity.