---
base_model: nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16
base_model_relation: finetune
library_name: transformers
pipeline_tag: text-generation
license: other
license_name: nvidia-nemotron-open-model-license
license_link: >-
  https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-nemotron-open-model-license/
language:
- en
tags:
- figment
- v2
- merged-bf16
- protocol-navigation
- synthetic-data
- not-for-clinical-use
---

# Figment SFT V2 Merged BF16

This directory contains the `figment_sft_v2` LoRA adapter merged into `nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16` with `peft.merge_and_unload(safe_merge=True)`.

## Artifact Summary

- Source adapter: `/checkpoints/figment_sft_v2/figment-sft-v2-lora`
- Merged output: `/checkpoints/figment_sft_v2/figment-sft-v2-lora-merged-bf16`
- Merge dtype: BF16
- Base model: `nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16`
- Merged manifest SHA-256: `6885f758f30a76e798fac73ebedd64684f3287d6b459f2b625029b03031179dc`
- HF shard 1 SHA-256: `9e224445985294263fce0437f82e55d116e90f5f19a5b995d47ee5081ff97c63`
- HF shard 2 SHA-256: `758eb779adf5379fb96ea42c4c38cfc6de9dc3d53c4e3863a7aea15ccebae5ae`
- Matching GGUF file: `../v2-20260609-merged-bf16.gguf`
- GGUF SHA-256: `281251bf326bfef219fe213cf01d7457164972ce2f99067b0ccc1fdb5821ea01`

## Training Data

The adapter was trained on the synthetic/de-identified `figment_sft_v2` corpus:

- Total rows: 1500
- Train rows: 1352
- Validation rows: 148
- Navigator-full rows: 1000
- Focused-repair rows: 500
- Train split SHA-256: `27233926a2bd9320418ff10b0c14f3885834adf2f48865ee469c939e2ffeb68a`
- Validation split SHA-256: `7964c75cd3940a8549e6b8b2ef15b4d5cd45e8607af8f77a4982ffe01116bfb4`

The corpus is published in the dataset repository `build-small-hackathon/figment-eval-traces` as the `figment_sft_v2` config.

## Evaluation

The local 50-case evaluation run was `local_4b_v2_lora_20260609T103344Z`:

| Metric | Value |
| --- | ---: |
| Total cases | 50 |
| Competence successes | 33/50 |
| Raw configured-model successes | 33/50 |
| Focused-repair successes | 0 |
| Full fallback uses | 0 |
| Final validation successes | 50/50 |
| Model-visible fields retained | 627/650 |

## Safety

Prototype artifact only. This checkpoint is not a medical device and must not be used for diagnosis, prescribing, medication dosing, autonomous triage, or replacing local protocol, clinician judgment, supervisor review, or trained responder review.