Overview

Meta developed and released the Llama3.3 model, a state-of-the-art multilingual large language model designed for instruction-tuned generative tasks. With 70 billion parameters, this model is optimized for multilingual dialogue use cases, providing high-quality text input and output. Llama3.3 has been fine-tuned through supervised learning and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. It sets a new standard in performance, outperforming many open-source and closed-source chat models on common industry benchmarks. The model’s capabilities make it a powerful tool for applications requiring conversational AI, multilingual support, and instruction adherence.

Variants

No Variant Cortex CLI command
1 gguf cortex run llama3.3

Use it with Jan (UI)

  1. Install Jan using Quickstart
  2. Use in Jan model Hub:
    cortexso/llama3.3
    

Use it with Cortex (CLI)

  1. Install Cortex using Quickstart
  2. Run the model with command:
    cortex run llama3.3
    

Credits

Downloads last month
98
GGUF
Model size
70.6B params
Architecture
llama

4-bit

Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.