uLM-28M is a 28.8M-parameter decoder-only causal language model released with the paper Micro Language Models Enable Instant Responses. It is designed for instant local response initiation: the model generates a short, contextually grounded opening of approximately 4–8 words on a resource-constrained device, and a larger cloud model continues the response. For representative behavior, use the tokenizer's chat template, sampling, and short-prefix generation as shown below. The model was trained from scratch on chat-style data. Further training and evaluation details are provided in the accompanying paper. uLM-28M is intended to generate only the first few words of a response: The exact…
Independent publisher
Wen Cheng
Sensente
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