Llama 3.1 - 405b, 70B & 8B: The BEST Opensource LLM EVER!

Welcome to an exciting start to the day as we introduce Meta AI's groundbreaking Llama 3.1 model series! 🌟 Discover the latest in AI innovation with models available in 8B, 70B, and an astonishing 405B parameters. This open-source AI model is designed for seamless fine-tuning, distillation, and deployment anywhere.

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Key Highlights:
- Tool Integration: Easily integrate multiple plugins and apps for enhanced functionality.
- Multilingual Agents: Communicate and generate content in multiple languages effortlessly.
- Complex Reasoning: Leverage advanced reasoning capabilities for sophisticated tasks.
- AI Coding Assistants: Utilize Llama 3.1 to code, debug, and become your personal AI copilot.

We'll delve into the performance of fine-tuned Llama 3.1 models on key benchmark evaluations, where the 405B model rivals the best closed models. This open/free model, with a permissive license, supports fine-tuning, distillation, and deployment, making it a game-changer for the open-source community.

Join us as we explore the Llama 3.1 model in-depth. Check out the intro video to see more about this powerful AI model. Meta AI has unleashed a beast, and we're here to dive into it. Stay tuned, and let's get straight into the video!

Tags/Keywords:
- Meta AI
- Llama 3.1
- Open-source AI
- AI models
- Machine learning
- AI innovation
- Multilingual AI
- AI coding assistant
- Fine-tuning AI
- AI benchmarks

Hashtags:
#metaai #llama3 #opensourceai #machinelearning #AICodingAssistant #aiinnovation #aimodels #techupdates #airesearch

[intheworldofai]

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[tradehut]

Using LLama 3.1 70B on DDG. I'm finding its answers more informative and useful to the situation than Claude Haiku and GPT o mini.

I'm not an expert AI reviewer by any means but I use AI often for information and I can see a clear difference every time I switch to Llama.

[fakebizPrez]

No one can deploy this model locally?

Challenge accepted.

[samyio]

How many ada6000 cards do i require to run the 405b model on q8 when i have 64gb ram?

[janalgos]

sonnet 3.5 is GOAT, cant wait til open source catch up to that

[MattJonesYT]

It's cool but this model seems completely out of reach for local inference unless you have lots of cash. According to 4o it will take 43 GPUs that have 24 gb each to run a single thread inference with the 405b model. I think RAG systems are ultimately going to be better than the giant model approach.