Llama 3.2: Meta's Open-Source Vision for LLM Councils
How Meta's Llama 3.2 family enables self-hosted, private LLM councils with strong performance.
Llama 3.2Meta AIopen source LLMself-hosted AILLM council
Open-Source LLM Leadership
Meta's Llama 3.2 represents the state of the art in open-source LLMs, enabling truly private, self-hosted LLM councils.
Model Family
Llama 3.2 1B & 3B
- Edge device capable
- Mobile deployment
- Ultra-fast inference
Llama 3.2 11B & 90B
- Competitive with closed models
- Vision capabilities
- Full feature set
Key Advantages
Self-Hosting
Run on your own infrastructure:
- Complete data privacy
- No API dependencies
- Customizable
No Cost
After infrastructure, inference is free:
- Unlimited queries
- No rate limits
- Predictable costs
Fine-Tuning
Customize for your use case:
- Domain adaptation
- Company-specific knowledge
- Style alignment
Benchmark Performance
| Benchmark | Llama 3.2 90B |
|---|---|
| MMLU | 86.0% |
| HumanEval | 80.5% |
| MATH | 68.0% |
SPRAPP + Ollama
SPRAPP supports Llama through Ollama. Configure local Llama models for privacy-critical queries or cost-free operations.