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Model: build-small-hackathon/figment-finetuned-model-archive
Source: Original Platform

v2-20260609-merged-bf16/README.md

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+---
+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.