meta / meta-llama-3.1-405b-instruct

An 8 billion parameter language model from Meta, fine tuned for chat completions

A 70 billion parameter language model from Meta, fine tuned for chat completions

Base version of Llama 3, an 8 billion parameter language model from Meta.

A 7 billion parameter language model from Meta, fine tuned for chat completions

A 70 billion parameter language model from Meta, fine tuned for chat completions

A 13 billion parameter language model from Meta, fine tuned for chat completions

Generate music from a prompt or melody

Base version of Llama 3, a 70 billion parameter language model from Meta.

A llama-3 based moderation and safeguarding language model

Base version of Llama 2 7B, a 7 billion parameter language model

Base version of Llama 2, a 70 billion parameter language model from Meta.

Base version of Llama 2 13B, a 13 billion parameter language model

A 34 billion parameter Llama tuned for coding and conversation

A 13 billion parameter Llama tuned for code completion

A 7 billion parameter Llama tuned for coding and conversation

A 13 billion parameter Llama tuned for coding and conversation

A Llama-3.1-8B pretrained model, fine-tuned for content safety classification

Detects any class given class names

Instance-Conditioned GAN

A 70 billion parameter Llama tuned for coding and conversation

A 7 billion parameter Llama tuned for coding and conversation

SAM 2: Segment Anything v2 (for Images)

A 17 billion parameter model with 128 experts

A 34 billion parameter Llama tuned for coding and conversation

A 34 billion parameter Llama tuned for coding with Python

A 13 billion parameter Llama tuned for coding with Python

A 7 billion parameter Llama tuned for coding with Python

SAM 2: Segment Anything v2 (for videos)

Cut and Learn for unsupervised object detection and instance segmentation

A 70 billion parameter Llama tuned for coding with Python

Masked-attention Mask Transformer for Universal Image Segmentation

Supervised Weakly from hashtAGs

A Single Model for Many Visual Modalities

A Llama-3.2-11B pretrained model, fine-tuned for content safety classification

A 7B parameter Llama 2-based input-output safeguard model

A 17 billion parameter model with 16 experts