LLMChat
Llama 3.2 1B instruct is a lightweight, multilingual model from Meta. The model is designed for efficiency and offers substantial latency and cost improvements compared to larger models. Example use cases for the model include retrieval and summarization
Llama 3.2 1B Instruct can be fine-tuned on your data to create a model with better response quality. Fireworks uses low-rank adaptation (LoRA) to train a model that can be served efficiently at inference time.
See the Fine-tuning guide for details.
On-demand deployments allow you to use Llama 3.2 1B Instruct on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.
See the On-demand deployments guide for details.