AI Models

Ultra-compact 1B model. Runs on virtually any device including smartphones.

Meta's compact 3B model designed for edge and mobile deployment.

Tiny but capable 3.8B model. Runs on almost any hardware including phones.

Efficient 7B model from Mistral AI with strong performance for its size.

Efficient 7B model with strong coding and reasoning abilities. Great for local deployment.

Meta's 8B parameter instruction-tuned model. Great balance of performance and efficiency for local deployment.

Compact reasoning model. Good reasoning capabilities in a small package.

Google's efficient 9B model. Great performance-to-size ratio.

Microsoft's 14B parameter model. Punches well above its weight class on reasoning benchmarks.

Mistral's dedicated code generation model. Supports 80+ programming languages.

Google's 27B instruction-tuned model. Strong general performance with efficient architecture.

Specialized coding model. One of the best open-source coding assistants available.

Reasoning-focused model distilled from DeepSeek R1. Excellent at complex problem-solving.

Mixture-of-experts model with 8 experts of 7B each. Excellent quality at moderate resource requirements.

Meta's flagship 70B parameter model. Excellent performance rivaling GPT-4 on many benchmarks.

Latest Meta 70B model with improved reasoning and multilingual capabilities.

Alibaba's top-tier 72B model. Excellent at coding, math, and multilingual tasks.

Cohere's 104B parameter model. Excellent for RAG, tool use, and enterprise applications.

DeepSeek's latest flagship model with 685B total parameters (37B active via MoE). State-of-the-art performance.

Strong 34B model from 01.AI with good multilingual and reasoning performance.