Search results

• Meta

  Free Endpoint

  llama-guard-4-12b

  Multi-modal model to classify safety for input prompts as well output responses.

  Model
• Meta

  DownloadableFree Endpoint

  llama-3.2-11b-vision-instruct

  Cutting-edge vision-language model exceling in high-quality reasoning from images.

  Model
• Meta

  DownloadableFree Endpoint

  llama-3.2-90b-vision-instruct

  Cutting-edge vision-Language model exceling in high-quality reasoning from images.

  Model
• Intermediate60 MIN

  Fine-Tune LLMs with LLaMA Factory

  One interface for supervised, RLHF, and parameter-efficient training

  Playbook
• NVIDIA

  Downloadable

  llama-3.1-nemoguard-8b-content-safety

  Leading content safety model for enhancing the safety and moderation capabilities of LLMs

  Model
• NVIDIA

  Downloadable

  llama-3.1-nemoguard-8b-topic-control

  Topic control model to keep conversations focused on approved topics, avoiding inappropriate content.

  Model
• NVIDIA

  Free Endpoint

  llama-3.1-nemotron-safety-guard-8b-v3

  Leading multilingual content safety model for enhancing the safety and moderation capabilities of LLMs

  Model
• NVIDIA

  Downloadable

  llama-nemotron-embed-vl-1b-v2

  Multimodal question-answer retrieval representing user queries as text and documents as images.

  Model
• NVIDIA

  Downloadable

  llama-nemotron-rerank-vl-1b-v2

  GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.

  Model
• Intermediate30 MIN

  Serve Models with llama.cpp

  Efficient inference for any GGUF model with minimal dependencies

  Playbook
• Intermediate10 MIN

  Install and Use NVIDIA PAIR with llama.cpp

  Route independent local AI requests across paired systems using llama.cpp, Ollama, or LM Studio

  Playbook
• Beginner15 MIN

  Chat with LLMs Using Open WebUI and Ollama

  A self-hosted browser interface with models running locally on your GPU

  Playbook
• Advanced60 MIN

  Run LLMs on Your NVIDIA Device

  Choose a model and spin it up locally on your NVIDIA device

  Playbook
• Intermediate13 MIN

  Build a Multi-GPU AI PC

  Homogeneous dual-GPU setups for llama.cpp tensor parallel and ComfyUI multi-GPU diffusion

  Playbook
• 13 MIN

  How to Build a Multi-GPU AI PC - A Practical Guide

  Many people explore local generative AI for privacy and to avoid token limits, but newer models require significant memory and compute—leading some to adopt multi-GPU setups.

  Playbook
• Intermediate30 MIN

  Stream Real-Time Video to a Vision Language Model

  A webcam-based testbed for comparing VLMs across backends

  Playbook
• Intermediate30 MIN

  Build Knowledge Graphs with txt2kg

  Extract triples with Ollama or vLLM, store them in a graph database, and explore them in a GPU-accelerated web UI

  Playbook
• 5 MIN

  How to Get Started With Large Language Models on NVIDIA RTX PCs

  Learn about using LLMs locally on PCs and workstations with Ollama, AnythingLLM, and LM Studio.

  Playbook
• Beginner6 MIN

  Run Local LLMs

  Chat, agents, coding, and document Q&A with Ollama, LM Studio, and AnythingLLM on your hardware

  Playbook
• Intermediate30 MIN

  Set Up Claude Code with Local Inference

  A coding agent connected to a local Ollama model

  Playbook
• Intermediate20 MIN

  Set Up CLI Coding Agents with Local Inference

  Your chosen agent connected to a local model in one command

  Playbook
• 30 MIN

  NVFP4 Pretraining with Megatron Bridge

  Pretrain Llama 3.1 8B with NVFP4 mixed precision on DGX Station using Megatron Bridge

  Playbook
• jetson-inference-mem-tune

  Pick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson.

  Skill
• jetson-llm-benchmark

  Benchmark Jetson LLM/VLM serving performance across vLLM, llama.cpp, and Ollama with structured JSON output.

  Skill