How To Install Code Llama Locally - 7B, 13B, & 34B Models! (LLAMA 2’s NEW Coding LLM)
AI Summary
Summary: Introduction to Code Llama
- Overview of Code Llama:
- Extension of Llama 2 for coding needs.
- Bridges the gap between GPT-3.5 and Llama.
- Capabilities include debugging, generating code, and understanding natural language about code.
- Python model scored 53.7 on human evaluation benchmark, higher than GPT-3.5’s 48.1.
- Fully open source, suitable for research and commercial use.
- Model Variants and Requirements:
- Three flavors: Vanilla, Instruct, and Python.
- Model sizes: 7 billion, 13 billion, 34 billion parameters.
- Smallest model can run on a local desktop with decent GPUs.
- Installation Guide:
- Install Text Generation Web UI (Ooga Booga) using Pinocchio one-click installer.
- Download and install Code Llama model.
- Use Text Generation Web UI to host the model.
- For weaker GPUs, stick to the 7 billion parameter models.
- Accessing the Model:
- Request access from Meta AI or download from Hugging Face.
- User “the bloke” on Hugging Face uploads models quickly.
- After installation, select and load the model in Text Generation Web UI.
- Additional Information:
- Patreon page for exclusive features.
- Follow World of AI for updates.
- Subscribe and like videos for AI news and trends.
- Model Details:
- Trained on 500 billion tokens.
- Predominantly trained on publicly accessible code.
- 8% of data from natural language datasets related to code.
- Responds with clear and detailed explanations to code-related prompts.
- Conclusion:
- Code Llama is a significant advancement for developers.
- Encourages exploring the research paper and experimenting with the tool.
- Offers to focus on specific aspects in future videos.
- Promotes following World of AI and supporting through Patreon.