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danelcsb/daniel-lfm2-350m
daniel-lfm2-350m is a text generation model from danelcsb. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
Personalized LFM2-350M checkpoint for Sangbum Daniel Choi's browser-native portfolio assistant. The model was adapted with LoRA and merged for deployment.
Downloads · 30 days
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From the Hugging Face model README
Personalized LFM2-350M checkpoint for Sangbum Daniel Choi's browser-native portfolio assistant. The model was adapted with LoRA and merged for deployment.
The training set contains 296 curated conversations:
Training data revision: e54fa0460fd6e2e3c4c077607bfb79184d94fbdb
The assistant is trained to separate Daniel-specific claims from general definitions. It synthesizes definitions only from retrieved evidence, emits a public-search tool request when evidence is missing, and never claims to be Daniel.
The website supplies focused verified profile context and recent conversation history to this model. Privacy boundaries, visitor-identity handling, career chronology, and contextual follow-up behavior are learned from the SFT data rather than returned as fixed JavaScript answers.