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We keep getting asked by users if they can use the 70B parameter model in production. We're serving the chat variant of Llama-2 70B on 2xA100 and getting pretty great throughput — it's cooking!

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Tuhin Srivastava

3,324 subscribers

20,037 görüntüleme • 3 yıl önce •via X (Twitter)

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Dwayne profil fotoğrafı
Dwayne3 yıl önce

It's such a shame that Llama 2 is so neutered with all of the excessive safety they wrapped it in. Hopefully, we see an unlocked 70b Llama 2 soon.

Tuhin Srivastava profil fotoğrafı
Tuhin Srivastava3 yıl önce

@DwayneCodes Yes, I'm sure it's coming. The non-chat model has less of it, I believe.

Bill Njoroge profil fotoğrafı
Bill Njoroge3 yıl önce

how many it/s?

Debargha Ganguly profil fotoğrafı
Debargha Ganguly3 yıl önce

Will give this a try tomorrow, the readme on the repo says 4xA100 vs 2xA100 in your tweet. What’s the throughput you’re seeing?

Tuhin Srivastava profil fotoğrafı
Tuhin Srivastava3 yıl önce

I’ll push an updated truss tonight!

Muskan Khandelwal profil fotoğrafı
Muskan Khandelwal3 yıl önce

Hey Tuhin, is there some way I can get to contribute to Baseten ? I can learn and deliver at blazing fast speed.

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Finally! Codellama-70b as Copilot in VSCode! 😱 You can now harness the power of the most advanced code generation model, Code Llama 70B, right in Visual Studio Code with Perplexity This model has outperformed even GPT-4 in code writing, and it's now seamlessly integrated into our editor 🥳 Do you anticipate the emergence of more open-source models that surpass GPT-4?
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Our Llama-3.1-Nemotron-70B-Instruct model is a leading model on the 🏆 Arena Hard benchmark (85) from Arena. Arena Hard uses a data pipeline to build high-quality benchmarks from live data in Chatbot Arena, and is known for its predictive ability of Chatbot Arena Elo score as well as separability between helpful and less helpful models. Use our customized model Llama-3.1-Nemotron-70B to improve the helpfulness of LLM generated responses in your applications. 📥 Try on our API catalog: 📥 On GitHub: 📥 Or on Hugging Face:
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Our Llama-3.1-Nemotron-70B-Instruct model is a leading model on the 🏆 Arena Hard benchmark (85) from Arena. Arena Hard uses a data pipeline to build high-quality benchmarks from live data in Chatbot Arena, and is known for its predictive ability of Chatbot Arena Elo score as well as separability between helpful and less helpful models. Use our customized model Llama-3.1-Nemotron-70B to improve the helpfulness of LLM generated responses in your applications. 📥 Try on our API catalog: 📥 On GitHub: 📥 Or on Hugging Face:

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