tocsa/meridian-sft

Meridian Response (class exercise, Sections 1-4) — SFT model.

Meridian is a fictional humanitarian logistics coordinator. During a flood response, field reports arrive from aid workers, camp coordinators, health volunteers, and protection officers. The model classifies and routes each report so a duty officer can verify instead of reading every report from scratch.

Base model / architecture

nvidia/Mistral-NeMo-Minitron-8B-Instruct (MistralForCausalLM)

Pipeline position

SFT model: a LoRA adapter trained on synthetically generated data, merged into the base model. This is the checkpoint used as the DPO starting point.

Files

• config.json (702.0B)
• generation_config.json (111.0B)
• model.safetensors (15.7GB)
• special_tokens_map.json (414.0B)
• tokenizer.json (8.8MB)
• tokenizer_config.json (173.4KB)

Recorded metrics

No recorded scalar metrics found alongside this artifact.

How to load

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("tocsa/meridian-sft")
tokenizer = AutoTokenizer.from_pretrained("tocsa/meridian-sft")

Course context

Produced in the NVIDIA instructor-led workshop "Adding New Knowledge to LLMs" — Designing and building model-customization pipelines for domain workflows.

The workshop's build-time customization workflow:

Stage	What it does	Tool
Task definition	taxonomy, schema, success criteria
Eval	measure target behavior	vLLM
Gap evidence	baseline + ICL ceiling
Synthetic data	targeted examples	NeMo Data Designer
Curation	quality + dedup	NeMo Curator
SFT	LoRA task behavior	NeMo AutoModel + PEFT
Serve + eval	compare model stages	vLLM
DPO	preference behavior	NeMo RL
Model artifact	adapter or DPO model

Open-model ecosystem used across the workshop:

Models	Data	Training	Serving
Nemotron	NeMo Data Designer	NeMo AutoModel	vLLM
Open weights	NeMo Curator	LoRA / PEFT	NGC containers
Teacher models	Hugging Face	NeMo RL	Local eval

Training data for this run was synthetically generated (NeMo Data Designer) and/or curated during the workshop exercises. Educational artifact — not reviewed for production use.