# Llama 3.2

Fireworks announced support for Meta's Llama 3.2 family, covering the text-only 1B and 3B models and the multimodal 11B Vision and 90B Vision models, with inference and fine-tuning available on its platform. That generation was not previously offered there; the 11B and 90B multimodal models are now priced the same as text-only models, and images are charged as text tokens, typically counted as 6,400 text tokens for the Llama 3.2 vision models. Fine-tuning is currently open for the 1B and 3B text-only models, while multimodal fine-tuning is not yet available.

Fireworks announced support for Meta's Llama 3.2 family, covering the text-only 1B and 3B models and the multimodal 11B Vision and 90B Vision models, with inference and fine-tuning available on its platform. That generation was not previously offered there; the 11B and 90B multimodal models are now priced the same as text-only models, and images are charged as text tokens, typically counted as 6,400 text tokens for the Llama 3.2 vision models. Fine-tuning is currently open for the 1B and 3B text-only models, while multimodal fine-tuning is not yet available.

On a Raspberry Pi 5 running LLaMA-3.2-1B-Instruct locally, electromagnetic leakage captured by a passive probe can identify generated tokens and semantically reconstruct user prompts, showing that local execution alone does not keep prompts and outputs confidential.

On a Raspberry Pi 5 running LLaMA-3.2-1B-Instruct locally, electromagnetic leakage captured by a passive probe can identify generated tokens and semantically reconstruct user prompts, showing that local execution alone does not keep prompts and outputs confidential.