local

Run Llama Guard 3 locally via Ollama to classify prompts/responses for safety.

Local AI app and library with a curated catalog of downloadable open-weight models.

Pull open-weight LLMs locally with one command; browse popular chat and embedding models.

Hugging Face repo for DBRX Instruct checkpoints under an open license for local inference and finetuning.

Compact 1.1B Llama-compatible model; popular GGUF quantizations make it fast on CPUs/GPUs locally.

Attention-free RNN-style open models with transformer-level performance and constant-memory inference.

Edge-friendly multimodal 8B model (images/video) with quantized variants for low-VRAM local inference.

TII’s newer open series (text+VLM variants) optimized for efficient inference; Apache-style release.

Fully open multimodal (images/video+text) models & training stack; strong results and reproducible recipes.

Microsoft’s 14B open-weight reasoning model yielding strong complex-task performance with modest hardware.

Fully open training data, code, and checkpoints; transparent 7B/13B/32B family for reproducible research and apps.

Open (MIT-licensed) reasoning model with distilled 1.5B–70B local checkpoints; known for chain-of-thought quality.

Google’s open-weight 9B/27B models; practical to run locally and widely adopted for fine-tuning and apps.

Latest Qwen series from 0.5B–72B; dense decoder models with strong general, coding and math variants for local use.

Local agent-computer interface that can browse, run code, and automate multi-step desktop tasks.