Modelos

Explora 127 modelos LLM canónicos de todos los proveedores

Mostrando 121–127 de 127 modelos

Llama 3.2 3B Instruct

Estados Unidos

Meta's lightweight open-weight model with 3 billion parameters from the Llama 3.2 family. Designed for on-device and edge deployment with strong text generation capabilities relative to its size. Supports instruction following and general-purpose tasks.

Contexto
131K
Publicado
sept 2024

Llama 3.2 11B Vision Instruct

Estados Unidos

Meta's multimodal open-weight model with 11 billion parameters from the Llama 3.2 family. Supports both text and image inputs, enabling visual understanding tasks alongside standard text generation. Suitable for applications requiring vision capabilities at moderate scale.

Contexto
131K
Publicado
sept 2024

Llama 3.2 90B Vision Instruct

Estados Unidos

Meta's largest multimodal open-weight model with 90 billion parameters from the Llama 3.2 family. Delivers strong performance on both text and image understanding tasks with competitive results on visual reasoning benchmarks. Designed for high-quality inference requiring vision capabilities.

Contexto
131K
Publicado
sept 2024

Llama 3.1 8B Instruct

Estados Unidos

Meta's efficient open-weight model with 8 billion parameters from the Llama 3.1 family. Optimized for instruction following with strong performance on general tasks, coding, and multilingual benchmarks. Ideal for cost-effective deployment and edge inference scenarios.

Contexto
131K
Publicado
jul 2024

Claude 3 Opus

Estados Unidos

Anthropic's most powerful model in the Claude 3 family, excelling at complex analysis, nuanced content generation, scientific reasoning, and code generation with extended context support.

Contexto
200K
Publicado
mar 2024

GPT-4

Estados Unidos

OpenAI's flagship large language model with advanced reasoning, instruction following, and code generation capabilities. Supports multimodal inputs including text and images.

Contexto
128K
Publicado
ene 2024

Whisper

Estados Unidos

OpenAI's Whisper automatic speech recognition model capable of multilingual audio transcription and translation, trained on a large dataset of diverse audio for robust real-world performance.

Contexto
448
Publicado
sept 2022