---
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
- v4
- merged-bf16
- protocol-navigation
- synthetic-data
- not-for-clinical-use
---

# Figment SFT V4 Merged BF16

This directory contains the `figment_sft_v4` 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_v4/figment-sft-v4-lora`
- Merged output: `/checkpoints/figment_sft_v4/figment-sft-v4-lora-merged-bf16`
- Merge dtype: BF16
- Base model: `nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16`
- Merged manifest SHA-256: `6678c0ec3a28817dba22eb9e7c682b9961f04bbfc688d0f1bcd137afaf8c8c38`
- HF shard 1 SHA-256: `1d95889e945363adcd70a0be54bc29407d49e28bf7a2c0415e1732d81d64186c`
- HF shard 2 SHA-256: `2a2e27563e78981c130349feece291c976cf7d5384690c6327795eef6d08d4c0`
- Matching GGUF file: `../v4-20260611-merged-bf16.gguf`
- GGUF SHA-256: `7e11f2295b101e9312f97075b8e48cabd8cc89539e92c8fa4218c4973aa31d8d`

## Training Data

The adapter was trained on the synthetic/de-identified `figment_sft_v4` corpus:

- Total rows: 1650
- Train rows: 1482
- Validation rows: 168
- Navigator-full rows: 1500
- Focused-repair rows: 150
- Full corpus SHA-256: `ef7a7c9a6a99927ba72ce244e03a9da3ab86d3cf5dc70786703fb5f8bdf2a289`
- Train split SHA-256: `f869d79da9ef670bc6479f8321e51b1f48cb5a16423265f34893a08e7648676e`
- Validation split SHA-256: `3ff7668b8216d6fa0be770d6d9ed5f1a0b12965f9312d5210b510807538738d3`

The corpus is published in the dataset repository `build-small-hackathon/figment-eval-traces` as the `figment_sft_v4` config.

## Evaluation

The main local field-holdout evaluation run was `local_4b_finetuned_v4_field_holdout_20260611T011930Z`:

| Metric | Value |
| --- | ---: |
| Total cases | 150 |
| Competence successes | 109/150 |
| Raw configured-model successes | 109/150 |
| Expected-label successes | 149/150 |
| Full fallback uses | 2 |
| Final validation successes | 148/150 |
| Model-visible fields retained | 1846/1950 |

The separate 50-case local evidence run `local_4b_finetuned_v4_evidence_20260611T0010Z` reached `37/50` competence successes, `37/50` raw configured-model successes, `0` full fallback uses, `50/50` final validation successes, and `624/650` model-visible fields retained.

## 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.