Running FULL Llama 4 Locally (Test & Install!)
AI Summary
Video Summary
Model Experience: The user finds the local model fun and more enjoyable than the online version, despite mixed opinions from others.
Model Download: Utilizing the Q4KM quantized version, the user notes its file size (67.5 GB) won’t entirely fit in VRAM but will use CPU memory for testing.
Model Setup:
- Increased context length to 8,192 tokens.
- Enabled flash attention (experimental) for improved performance.
- Requires beta version 0.3.15 of LM Studio to operate.
Game Generation:
- Generated a retro synthwave Python game using Pygame.
- Completion speed reported at 4.77 tokens/second.
- Game displayed improvement in aesthetics and gameplay from earlier online tests.
Performance Assessment: The local model performed better than previous online models in generating complex games. It managed the collision and game over logic decently but needed tweaks for a better gaming experience.
Educational Interaction: When asked about cracking WP encryption, the model initially refused but provided educational insights, demonstrating awareness of legal boundaries.
Roleplay Feature: The user explored the model’s ability to engage in roleplay, noting both humorous and confusing interactions, indicative of the model’s training background.
Final Thoughts: The user enjoyed the experience of running the model locally and looked forward to future updates, mentioning anticipated drops of new models later in the week.
Key Features and Commands
- Download any quantized pack (e.g., Q4KM) from Barttowski for local use.
- Ensure beta version of LM Studio (0.3.15) is used for improved functionality.