Meta just launched their biggest language model and it's available on Replicate! This cutting-edge open-source LLM rivals the top closed models. And you can use it with just an API call. Try Meta Llama 3.1 405B Instruct in our playground today: https://
replicate.com/meta/meta-llam
a-3.1-405b-instruct
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LLMS
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Meta Llama 3.1 405B Now Available on Replicate Platform
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User reaction to Meta’s new open-source model with increased context length
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Looking forward to see what we can do with this, especially the increaseed context length! Thanks a lot to @Meta for open-sourcing this
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Meta Releases Llama-3.1 with 405B Model and Expanded Context
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Mark Zuckerberg just announced the GPT-4 killer: Llama-3.1 Two breakthroughs:
New 405B, possibly the strongest LLM ever, slightly above GPT-4o in many domains
Improved 8B & 70B models, with a much larger context size of 128k vs 8k ⇒ game-changer for RAG and Agents. -
Llama License Update: Developers Can Now Use Model Outputs for Improvement
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We’ve also updated our license to allow developers to use the outputs from Llama models — including 405B — to improve other models for the first time. We’re excited about how this will enable new advancements in the field through synthetic data generation and model distillation
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Llama 3.1 405B Competes with GPT-4 and Claude
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With Llama 3.1, we evaluated performance on >150 benchmark datasets spanning a wide range of languages — in addition to extensive human evaluations in real-world scenarios. These results show that the 405B competes with leading closed source models like GPT-4, Claude 2 and Gemini
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Meta Releases Llama 3.1: New Open Source AI Models Including 405B
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Starting today, open source is leading the way. Introducing Llama 3.1: Our most capable models yet. Today we’re releasing a collection of new Llama 3.1 models including our long awaited 405B. These models deliver improved reasoning capabilities, a larger 128K token context
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Llama 3.1 405B: Training the Largest Model at Scale
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Training a model as large and capable as Llama 3.1 405B was no simple task. The model was trained on over 15 trillion tokens over the course of several months requiring over 16K @NVIDIA H100 GPUs — making it the first Llama model ever trained at this scale. We also used the 405B
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Fine-tuning Llama-3.1-8B with High-Quality Reasoning Datasets
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What I'm excited about: Use Llama-3.1-405B to generate a high quality reasoning dataset, then fine-tune Llama-3.1-8B models.
— Jiquan Ngiam (@JiquanNgiam) 23 juillet 2024
Imagine having 4o-mini performance models, but open sourced, and tuned for your use cases. pic.twitter.com/mf9tMZ8vWMWhat I'm excited about: Use Llama-3.1-405B to generate a high quality reasoning dataset, then fine-tune Llama-3.1-8B models. Imagine having 4o-mini performance models, but open sourced, and tuned for your use cases.
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Meta Releases New Llama Model Update Blog Post
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Os dejo el link con el blog post de Meta. Yo voy a repasar la info y más que hacer un hilo, luego abrimos directo y comentamos la importancia de esta noticia 🙂 https://
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Llama 3.1 Now Available in Three Sizes: 8B, 70B, 405B
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¡LLAMA 3.1 YA ESTÁ AQUÍ! En sus tres tamaños… 8B, 70B y 405B