Hopper models make single-pass decisions: a document, a policy and a question go in, and a probability for every allowed option comes out. One forward pass per decision; no text is generated. They are served by github.com/hopit-ai/hopper, an HTTP server that speaks the JevBench /v1/systemone wire format. ¹ The 4B adapter's training data included passages from RACE, which is released for non-commercial research only. Do not use it commercially. See Licence and research-only notice. The general-purpose line, Hopper (G), lives at HopitAI/hopper-g. Always pin the revision: HopitAI/hopper without one resolves to main, the Qwen3.5-4B adapter, which does not fit this base. Files, checksums…
Organization · Verified on Hugging Face
HopitAI
HopitAI
World models for Fashion, Search, Retrieval, Ranking, Multimodal reasoning
Models in Library2
Datasets in Library0
Models on Hugging Face14
Followers10
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A general-purpose version of Hopper: a LoRA adapter for Qwen3.5-4B that answers typed decision questions in one forward pass by reading the probability of each option letter, with a per-kind calibration map. Served with the Hopper code at https://github.com/hopit-ai/hopper (tag g-1.2.0). Research and demo use only. This adapter continues training from Hopper 1.0's adapter, whose training data included passages from RACE (non-commercial research only), and its training data also includes material made with LLM-based generation. Do not use it commercially. sources (tabular record joins, CLINC150 intents, GSM8K arithmetic) and replay of public training data, with a fixed retention constraint…