20 Local Model Selection alternatives
Local Model Selection: Choose and run the right local model with llama.cpp and GGUF — quantisation, hardware fit, and local serving. 20 agent skills do similar work, most sharing Inference, Hugging Face and Open Source, ranked by how much they have in common with Local Model Selection.
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by NVIDIA
Picks the right vLLM or SGLang runtime for your Jetson generation and JetPack version, then produces a working OpenAI-compatible serving command.
Also: Inference, Local Models
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by thedotmack
Persistent cross-session memory for coding agents: hooks capture each session, a local SQLite + vector store compresses it, and a mem-search skill reads it back.
Also: Local-First, Open Source
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by Hugging Face
Run machine learning models directly in the browser or Node with Transformers.js — no inference server required.
Also: Hugging Face, Inference
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by Hugging Face
Build Gradio web UIs and ML demos in Python with the current API — components, layouts, events, and chat interfaces.
Also: Hugging Face, Open Source
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by Hugging Face
Hugging Face's official CLI skill — download, upload, and manage models, datasets, Spaces, and Jobs from the terminal.
Also: Hugging Face, Open Source
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by AMD
AMD's official meta-skill: permanently reroutes an agent's image generation, text-to-speech and speech-to-text to a local Lemonade Server instead of a paid cloud API.
Also: Local Models
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by Favio Vazquez
Local video studio for coding agents: describe a video and your machine renders it, with voice-over, music and captions, no API keys.
Also: Local-First
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by Hugging Face
Fine-tune language and vision models with TRL or Unsloth — supervised, preference, and reinforcement training methods.
Also: Hugging Face
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by Hugging Face
Deploy and maintain applications on Hugging Face Spaces — SDK choice, GPU hardware, model loading, and debugging.
Also: Hugging Face
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by NVIDIA
Trains, distils, quantises, evaluates, exports and runs inference for RT-DETR real-time object detection in NVIDIA TAO, routing training through AutoML hyperparameter search by default.
Also: Inference
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by NVIDIA
Inspects the host's hardware, OS, CUDA driver and existing tooling, recommends one Holoscan SDK install method with a reason, then hands off to the matching install skill.
Also: Inference
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by NVIDIA
Runs NVIDIA's NV-Reason-CXR-3B chest X-ray reasoning model through a documented wrapper, locally on GPU or via the public Hugging Face Space, and returns the model's full reasoning trace as engineering evidence.
Also: Inference
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by Replicate
Replicate's official skill for running models via its API — predictions, polling, Prefer: wait, webhooks with signature validation, streaming and file handling.
Also: Inference
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by NVIDIA
Turns a plain-language weather question into a working Earth2Studio inference script — picks the AI forecast model, a compatible data source, an IO backend, and the step count.
Also: Inference
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by NVIDIA
NVIDIA's official skill for deploying and operating Nemotron Speech (Riva) NIMs — ASR, text-to-speech and translation, cloud-hosted or self-hosted on your own GPUs.
Also: Inference
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by NVIDIA
NVIDIA's official skill for generating and validating runnable gst-launch DeepStream pipelines from a plain-language description of the video inference you want.
Also: Inference
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by Anthropic
Authoritative reference for the Claude API and Anthropic SDKs — model IDs, pricing, parameters, streaming, tool use, MCP, agents, prompt caching, and token counting.
Also: Inference
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by AMD
AMD's official skill for CPU inference: brings up a single vLLM + zentorch endpoint on an EPYC server, sized to the socket it runs on.
Also: Inference
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by AMD
AMD's official skill for standing up a vLLM endpoint on Instinct MI300X/MI325X/MI350X/MI355X GPUs — detection, recipe lookup, launch and health check in one flow.
Also: Inference
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by NVIDIA
NVIDIA's official skill for bringing up Dynamo inference routing — pick a router mode, enable KV-aware routing, and smoke-test the frontend endpoint before claiming anything works.
Also: Inference
