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/ |
|
|
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.