Find Your Perfect Local AI Model

Meta's specialized coding model based on Llama 2. Excellent for code completion and generation.

Cohere's model optimized for RAG and tool use. Excellent at following complex instructions.

State-of-the-art reasoning model with chain-of-thought capabilities. Excels at math, coding, and complex reasoning.

Distilled version of R1 based on Qwen. Great reasoning in a smaller package.

Google's open model built from Gemini research. Available in 2B, 9B, and 27B sizes.

Efficient smaller models from Meta, perfect for on-device deployment. Available in 1B and 3B sizes.

Multimodal model that can understand images and text. Available in 11B and 90B variants.

Meta's latest and most capable open model. Excellent for general tasks, coding, and reasoning with 128K context.

Visual instruction-tuned model combining CLIP vision with Llama. Great for image understanding.

Highly efficient 7B model that punches above its weight. Great balance of speed and capability.

Latest Mistral model optimized for efficiency. Enterprise-grade quality in a compact size.

Mixture of Experts model that activates only 2 experts per token. Fast inference with high quality.

State-of-the-art embedding model. Top performance on MTEB benchmarks.

High-quality text embedding model. Perfect for RAG, semantic search, and similarity matching.

Compact model with strong reasoning. Good balance between size and capability.

Microsoft's small language model. Surprisingly capable for its size, great for resource-constrained environments.

Alibaba's flagship model with excellent multilingual support. Available from 0.5B to 72B.

Specialized coding model with excellent code completion and generation. Supports 92 programming languages.

Code LLM trained on The Stack v2. Excellent for code completion across 600+ programming languages.

Ultra-compact 1.1B model. Perfect for testing, edge devices, and resource-limited environments.