Çdo model kryesor AI. Një platformë.

Muse Wonder 1.0

Meta

Muse Wonder 1.0 is Meta's agentic and coding model for complex software engineering, multi-step tool loops, and long-context reasoning.

Muse Spark Open

Meta

Muse Spark Open is Meta's open-weights reasoning model for coding and agentic workflows. It supports native image understanding and function calling, and is served through Fireworks serverless inference.

Muse Spark 1.3

Meta

Muse Spark 1.3 is Meta's latest agentic and coding model, tuned for multi-step tool loops, browser tasks, software engineering, and long-horizon reasoning.

Muse Spark 1.2

Meta

Muse Spark 1.2 is Meta's agentic and coding model for multi-step tool loops, software engineering assistants, and long-context reasoning.

Muse Spark 1.1

Meta

Muse Spark 1.1 is Meta's agentic and coding model for multi-step tool loops, software engineering assistants, and long-context reasoning.

Muse Ember 1.0

Meta

Muse Ember 1.0 is Meta's fast, efficient model with top-tier speed for its class, built for subagent workloads.

M2M100 1.2b

Meta

Multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation

Llama Guard 3 8b

Meta

Llama Guard 3 is a Llama-3.1-8B pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM inputs (prompt classification) and in LLM responses (response classification). It acts as an LLM – it generates text in its output that indicates whether a given prompt or response is safe or unsafe, and if unsafe, it also lists the content categories violated.

Llama 4 Scout 17b 16e Instruct

Meta

Meta's Llama 4 Scout is a 17 billion parameter model with 16 experts that is natively multimodal. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding.

Llama 3.3 70b Instruct FP8 Fast

Meta

Llama 3.3 70B quantized to fp8 precision, optimized to be faster.

Llama 3.2 11b Vision Instruct

Meta

The Llama 3.2-Vision instruction-tuned models are optimized for visual recognition, image reasoning, captioning, and answering general questions about an image.

Llama 3.2 3b Instruct

Meta

The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks.

Llama 3.2 1b Instruct

Meta

The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks.

Llama 3.1 8b Instruct FP8

Meta

Llama 3.1 8B quantized to FP8 precision