Snapshot: On‑policy pedagogical variant of Qwen‑3‑8B tuned to lead with conversational inquiry, multi‑turn scaffolding, and question-asking dialogue. The model prioritizes question‑asking, co‑investigation, and adaptive depth over direct instruction. It is intended to be tunable across dialogic and pedagogical contexts (e.g., ESL, academic writing, exam prep, K‑12, conversation practice) via prompting or downstream adapters.
HuggingFaceH4/ultrachat_200k (train_sft; pilot run)
LoRA / continued pre‑training specs
Method: Low‑Rank Adaptation (LoRA) via Tinker SDK
Base model: Qwen/Qwen3‑8B
Rank (r): 16
Alpha: 32
Target modules: all linear layers (all‑linear)
Format
This release is provided as a GGUF model for llama.cpp/Ollama workflows.
Intended use
Dialogue‑forward tutoring
Socratic, inquiry‑led teaching
Scaffolding reasoning and language in multi‑turn conversations
