Instance-Conditioned GAN
A 13 billion parameter Llama tuned for code completion
A 13 billion parameter Llama tuned for coding and conversation
A 13 billion parameter Llama tuned for coding with Python
A 34 billion parameter Llama tuned for coding and conversation
A 70 billion parameter Llama tuned for coding and conversation
A 70 billion parameter Llama tuned for coding with Python
A 7 billion parameter Llama tuned for coding and conversation
A 7 billion parameter Llama tuned for coding with Python
Cut and Learn for unsupervised object detection and instance segmentation
Detects any class given class names
Base version of Llama 2 13B, a 13 billion parameter language model
A 13 billion parameter language model from Meta, fine tuned for chat completions
Base version of Llama 2, a 70 billion parameter language model from Meta.
A 70 billion parameter language model from Meta, fine tuned for chat completions
Base version of Llama 2 7B, a 7 billion parameter language model
A 7 billion parameter language model from Meta, fine tuned for chat completions
A 17 billion parameter model with 128 experts
A 17 billion parameter model with 16 experts
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
