Ido Levy 1,2 · 1,2 The trained questioner from Asking for What Was Never Requested: Horizontal and Vertical Proactivity in Agents, with its LoRA adapter merged into Qwen3-8B. It is a standard full-weight model: it loads without PEFT and serves with vLLM, SGLang or TGI like any Qwen3-8B. - The adapter, with the results, the training details, the limitations and a complete two-turn - Quantized for llama.cpp, Ollama and LM Studio: This is training seed 1, the adapter at the root of the adapter repository. The merge ran in float32 and the weights are stored in bfloat16. On the adapter card's two-turn example, greedy decoding with this model returns the adapter's output character for character.…
Open weights
apache-2.0
8.2B parameters
40,960 tokens
transformers
Ido Levy 1,2 · 1,2 GGUF quantizations of the trained questioner from Asking for What Was Never Requested: Horizontal and Vertical Proactivity in Agents, for llama.cpp, Ollama, LM Studio and Jan. They were made from the merged model with llama.cpp (commit 9adc7f4). Before upload, each file ran the adapter card's two-turn example with greedy decoding. Every file asked the same two questions as the full-precision model: "Who directed the film The Great Flamarion?" and, once the evidence named the director, "Who was the spouse of film director Anthony Mann?". The results are the trained questioner's, as the paper reports them: see the adapter card's Results. The paper evaluated the unquantized…
Open weights
apache-2.0
Ido Levy 1,2 · 1,2 This is the trained questioner from Asking for What Was Never Requested: Horizontal and Vertical Proactivity in Agents. It is a LoRA adapter on Qwen3-8B, trained with Q&D (questioner and drafter). A tool-using agent usually does what it is asked, yet a task often needs information the user never mentions. This model decides, one step at a time, which question to send to the agent's retriever next, or that it is time to stop. It goes after two kinds of unstated need: ZIP code, so the agent looks up the account. the order names the product, and the product lists the size-8 variant. These numbers are from the paper, on held-out test splits. The MuSiQue reading compares…
Open weights
apache-2.0
peft