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docs(studio): add Custom Models page for the Studio customization UI - #1817
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Documents the Fine-tune a Model form (backend, model, training method, dataset, parameters, LoRA/DPO, compute), the Custom Models list, job cloning, and the job details page, matching release/0.5 where the customize-method modal and Prompt-tuned option have been removed. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Signed-off-by: Henrique Tolentino <htolentino@nvidia.com>
…aining method fields Cover the Overview tab's GRPO reward/training-health panels (vs. the training-loss panel used by SFT/distillation/DPO), and correct the Training Method section description to reflect the actual per-backend fields (fine-tuning type + SFT/Distillation for Automodel/Unsloth, DPO/GRPO for RL). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Signed-off-by: Henrique Tolentino <htolentino@nvidia.com>
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Included review availability: Your plan provides up to 12 included reviews per hour; 11 remain after this review. 📝 WalkthroughWalkthroughAdded a NeMo Studio Custom Models guide. Updated Studio navigation and Models documentation to link to the guide and describe fine-tuning workflows. ChangesCustom Models documentation
Suggested reviewers: Merge Risk: ⚪ Minimal · up to This adds Custom Models guidance and Studio navigation links for fine-tuning workflows. The documentation page is published through the Latest navigation, with no remaining merge-readiness risk identified. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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* feat(studio): add trace graph view (#1791) * feat(studio): add trace graph view Signed-off-by: Yamini <ykagal@gmail.com> * fixes for default off FF, overflow, code split Signed-off-by: Sean Teramae <steramae@nvidia.com> * add record to e2e test Signed-off-by: Sean Teramae <steramae@nvidia.com> * more minor fixes Signed-off-by: Sean Teramae <steramae@nvidia.com> --------- Signed-off-by: Yamini <ykagal@gmail.com> Signed-off-by: Sean Teramae <steramae@nvidia.com> Co-authored-by: Sean Teramae <steramae@nvidia.com> * fix(files): block fileset delete when models or adapters still reference it (#1761) * fix(files): block fileset delete when models or adapters still reference it A fileset used as model or adapter weights could be deleted with no check, leaving a dangling entity and a late 404 during job download. Fail closed with 409 when dependents exist, 503 when Entity Store cannot be queried, and validate the weights fileset at customization submit. Signed-off-by: Tyler Bray <tbray@nvidia.com> * fix(files): sanitize fileset delete-guard logs and document 409/503 detail CodeQL flagged unsanitized workspace/name on the new 503 path. Document the FastAPI string-detail envelope on DELETE so OpenAPI matches the actual 409 and 503 bodies. Signed-off-by: Tyler Bray <tbray@nvidia.com> * chore(sdk): sync Python SDK with fileset DELETE 409 and 503 Stainless regeneration picks up the documented error envelope so lint-python-sdk matches the OpenAPI spec. Signed-off-by: Tyler Bray <tbray@nvidia.com> * fix(files,entities): map fileset ref lookup outages to 503 and delete models before filesets EntityClient.list raises NemoClientError, not EntityStoreError, so the documented 503 path never fired on a real Entities outage. Workspace cleanup now removes adapters and models before filesets so same-workspace teardown is not blocked by the 409 guard. Signed-off-by: Tyler Bray <tbray@nvidia.com> --------- Signed-off-by: Tyler Bray <tbray@nvidia.com> * docs(studio): add Custom Models page for the Studio customization UI (#1817) * docs(studio): add Custom Models page for the Studio customization UI Documents the Fine-tune a Model form (backend, model, training method, dataset, parameters, LoRA/DPO, compute), the Custom Models list, job cloning, and the job details page, matching release/0.5 where the customize-method modal and Prompt-tuned option have been removed. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Signed-off-by: Henrique Tolentino <htolentino@nvidia.com> * docs(studio): document GRPO training-health panels and per-backend training method fields Cover the Overview tab's GRPO reward/training-health panels (vs. the training-loss panel used by SFT/distillation/DPO), and correct the Training Method section description to reflect the actual per-backend fields (fine-tuning type + SFT/Distillation for Automodel/Unsloth, DPO/GRPO for RL). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Signed-off-by: Henrique Tolentino <htolentino@nvidia.com> --------- Signed-off-by: Henrique Tolentino <htolentino@nvidia.com> Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com> * feat(skills): Switch build agent skill to use Fabric and LC DeepAgents (#1779) * Refine build agent skill for Fabric Clarify the supported Deep Agents and Fabric workflow, add non-happy-path guidance, and package local evaluation assets. Signed-off-by: Yamini <ykagal@gmail.com> * Harden build agent onboarding and dependency boundary Explain Ethos and Fabric before implementation, keep Deep Agents dependencies inside the generated customer project, and cover the boundary in skill tests. Signed-off-by: Yamini <ykagal@gmail.com> * Align build agent harness dependency checks Teach the build agent skill to detect and reuse the Agents plugin harness, ask before installing the optional plugin, and stop on partial installs. Document source checkout packaging and add dependency failure evals. Signed-off-by: Yamini <ykagal@gmail.com> * Update build agent benchmark evidence Record the nine current evaluation tasks and the successful packaged Fabric trajectory. Use the repository standard NVSkills-Eval terminology and keep formal Tier 3 results marked as pending. Signed-off-by: Yamini <ykagal@gmail.com> * Remove build agent review artifacts from package Keep behavioral evaluations in source while removing the generated gate marker, hand written benchmark and runtime packaging rule for evaluation data. Signed-off-by: Yamini <ykagal@gmail.com> * fix(skills): add copyright headers Signed-off-by: Yamini <ykagal@gmail.com> * fix(skills): defer agent registration until gates pass Signed-off-by: Manjesh Mogallapalli <mmogallapall@nvidia.com> * fix(skills): preserve agent deployment scope Signed-off-by: Manjesh Mogallapalli <mmogallapall@nvidia.com> * fix(skills): clarify optional agent environment Signed-off-by: Manjesh Mogallapalli <mmogallapall@nvidia.com> --------- Signed-off-by: Yamini <ykagal@gmail.com> Signed-off-by: Manjesh Mogallapalli <mmogallapall@nvidia.com> Co-authored-by: Manjesh Mogallapalli <mmogallapall@nvidia.com> * AIRCORE-1121 Update agent build guidance for Fabric (#1780) Point new agent builds to the Fabric based skill while keeping explicit maintenance and migration work for existing NAT workflows available. Signed-off-by: Yamini <ykagal@gmail.com> --------- Signed-off-by: Yamini <ykagal@gmail.com> Signed-off-by: Sean Teramae <steramae@nvidia.com> Signed-off-by: Tyler Bray <tbray@nvidia.com> Signed-off-by: Henrique Tolentino <htolentino@nvidia.com> Signed-off-by: Manjesh Mogallapalli <mmogallapall@nvidia.com> Signed-off-by: Swarom Muley <smuley@nvidia.com> Co-authored-by: Yamini <yamini@users.noreply.github.com> Co-authored-by: Sean Teramae <steramae@nvidia.com> Co-authored-by: tylersbray <tbray@nvidia.com> Co-authored-by: htolentino-nvidia <htolentino@nvidia.com> Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com> Co-authored-by: Manjesh Mogallapalli <mmogallapall@nvidia.com>
Docs update for https://nvbugspro.nvidia.com/bug/6721055
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