base_model, base_model_relation, library_name, pipeline_tag, license, license_name, license_link, language, tags
| base_model | base_model_relation | library_name | pipeline_tag | license | license_name | license_link | language | tags | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16 | finetune | transformers | text-generation | other | nvidia-nemotron-open-model-license | https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-nemotron-open-model-license/ |
|
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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.