Models by Meta
Meta (formerly Facebook) develops the LLaMA (Large Language Model Meta AI) family of open-source language models. These models are designed to be transparent, accessible, and highly adaptable—positioning Meta as a key player in the open LLM ecosystem.
Key Models
- LLaMA 1 (2023): Focused on research use, strong performance for its size.
- LLaMA 2 (2023): Released with commercial usage rights and pre-trained/fine-tuned variants (7B, 13B, 70B).
- LLaMA 3 (expected 2024–2025): In development, with rumored multimodal and larger-context support.
Why It Matters
- Open Weights: Full model access enables transparency, offline deployment, and community innovation.
- No Vendor Lock-In: Deploy locally or on any cloud—ideal for privacy-sensitive or regulated environments.
- Strong Performance: LLaMA 2 models rival proprietary alternatives in instruction following, reasoning, and code tasks.
Prompt Engineering Benefits
- Full control over system behavior
- Ability to fine-tune for domain-specific tasks
- Insight into tokenization, architecture, and model internals
- Integration with libraries like Hugging Face Transformers and LangChain
Use Cases
- Research and experimentation
- Private deployments (e.g., air-gapped environments)
- Fine-tuned assistants for specific industries
- Edge or embedded inference
- AI agent frameworks and open-source toolchains
Hosting Options
- Hugging Face Inference Endpoints
- Local GPU/TPU deployments
- Private cloud or on-prem infrastructure
- Model hubs like Ollama and LM Studio