🎬Video•25 min

LLaMA and Open Source Models

Explore the open-source LLM ecosystem.

Open Source LLMs

LLaMA (Meta)

LLaMA 1 (2023):

7B, 13B, 30B, 65B parameters

Trained on public data only

Competitive with GPT-3

LLaMA 2 (2023):

7B, 13B, 70B parameters

Commercial license

Chat fine-tuned versions

LLaMA 3 (2024):

8B, 70B, 405B parameters

State-of-the-art open source

128K context length

Other Open Models

Mistral: 7B model outperforming LLaMA 2 13B Mixtral: Mixture-of-Experts architecture Qwen: Alibaba's multilingual models DeepSeek: Strong reasoning capabilities

Why Open Source Matters

Transparency and reproducibility

Fine-tuning for specific use cases

On-premise deployment

Community innovation

🎯 Key Takeaways

✓LLaMA democratized access to powerful LLMs
✓Open models enable fine-tuning and customization
✓Mistral and Mixtral show small can be powerful
✓DeepSeek shows open models can match closed ones

📚 Additional Resources

GPT Series (GPT-2, GPT-3, GPT-4)

Claude and Constitutional AI