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CUDA · Fine-tuning

13 skills found.
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1

Set up the NVIDIA "Build an Agent" DevX workshop as a working JupyterLab environment from INSIDE a locked-down OpenShell/NemoClaw sandbox, and hand the user the token URL + access commands.

brevdev/workshop-build-an-agent146—~5.2kAutomated safety check: PassApache-2.03 days ago
2

A skill your agent uses when the user wants to set up LLM training for the first time, or when traininghub is not yet installed/configured in the current environment.

Red-Hat-AI-Innovation-Team/training_hub100—~959Automated safety check: PassApache-2.03 days ago
3

Guides users through LLM post-training with Training Hub, including installation, algorithm selection (SFT, OSFT, LoRA), hyperparameter tuning, troubleshooting OOM errors, interpreting loss curves…

Red-Hat-AI-Innovation-Team/training_hub100—~2.8kAutomated safety check: PassApache-2.03 days ago
4

Guide users through Cosmos3 supervised fine-tuning (SFT) post-training: preparing the example dataset and Wan2.2 VAE, converting the base checkpoint to DCP, launching distributed training (paired…

NVIDIA/cosmos-framework560—~2.7kAutomated safety check: PassUnknownyesterday
5

Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13).

wshobson/agents40k—~2kAutomated safety check: PassMIT6 days ago
6
6.Kermt FinetuneOfficial

Finetune a pretrained KERMT encoder on a labeled CSV. An agent skill from NVIDIA/skills.

NVIDIA/skills3.6k1 repo~4.1kAutomated safety check: PassApache-2.02 days ago
7
7.Kermt InferOfficial

Run predictions with a finetuned KERMT checkpoint on a SMILES-only CSV.

NVIDIA/skills3.6k1 repo~1.5kAutomated safety check: PassApache-2.02 days ago
8

NV-Tesseract AD Diffusion — diffusion-based anomaly detection and fine-tuning for multivariate time series.

NVIDIA/skills3.6k—~2.9kAutomated safety check: NotesApache-2.02 days ago
9

NV-Tesseract Forecasting — transformer-based multivariate time series forecasting with DARR (context-enhanced kNN retrieval), interpretability, and fine-tuning.

NVIDIA/skills3.6k—~3.2kAutomated safety check: NotesApache-2.02 days ago
10

Generate inorganic material structures using MatterGen, a diffusion-based generative model.

learningmatter-mit/AtomisticSkills176—~1.8kAutomated safety check: PassMIT3 days ago
11

Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, PEFT + SP input re-gather, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM…

NVIDIA/skills3.6k—~3.6kAutomated safety check: PassApache-2.02 days ago
12

A skill your agent uses when training or debugging a neural net in PyTorch — the forward/loss/backward/step loop and its silent bugs, mixed precision (AMP), AdamW/LR schedules, DDP/FSDP/ZeRO…

ericrisco/rsc-harness180—~3.4kAutomated safety check: PassMITyesterday
13

Operate, configure, benchmark, and troubleshoot llama.cpp across CPU, Metal, CUDA, HIP/ROCm, Vulkan, SYCL, and hybrid or multi-GPU systems.

magnus919/agent-skills115—~2.3kAutomated safety check: PassMITyesterday