Jeremie Rostan

Model

Qwen3-1.7B-teacher-note-severity-v2-GGUF

Jeremie Rostan

GGUF builds of jeremierostan/Qwen3-1.7B-teacher-note-severity-v2, which adds an inclass / outsideclass location field to the v1 severity model - Qwen3-1.7B-teacher-note-severity-v2-f16.gguf (3.4 GB) — full precision - Qwen3-1.7B-teacher-note-severity-v2-q80.gguf (1.8 GB) — recommended; near-identical quality, half the size Given a teacher note (or a running log of notes), the model replies with a single JSON object: Commendations score negative; routine notes 5–55; severity >= 60 means escalate to admin (escalate is set exactly when severity >= 60, across all categories). 1. In LM Studio, search this repo id (jeremierostan/Qwen3-1.7B-teacher-note-severity-v2-GGUF) and download the q80 file…

Model · Text generation

Qwen3-1.7B-teacher-note-severity-v2

Jeremie Rostan

Continued LoRA fine-tune of Qwen3-1.7B-teacher-note-severity (itself a LoRA of Qwen/Qwen3-1.7B, 32K context). v2 adds a location field. Given a teacher note (or a running log), it outputs: {"category": "commendation|misbehavior|academicconcern", "location": "inclass|outsideclass", "severity":, "escalate": } Commendations are negative; routine notes 5-55; severity >= 60 escalates to admin. Trained on synthetic data: jeremierostan/teacher-notes-severity-v2 (continues v1 training, LR 1e-4, 2 epochs).

Model

out

Jeremie Rostan

This model is a fine-tuned version of jeremierostan/Qwen3-1.7B-teacher-note-severity. It has been trained using TRL. This model was trained with SFT.