Run Meta Llama 3.1 8B Instruct on Novita AI

Understanding Meta Llama 3.1

What is Meta Llama 3.1?

The Meta Llama 3.1 is a collection of multilingual large language models (LLMs) available in 8B, 70B, and 405B sizes, optimized for multilingual dialogue use cases and outperforming many existing chat models on industry benchmarks.

How Does Llama 3.1 Work

Llama 3.1 used a standard decoder-only Transformer architecture, commonly seen in successful large language models. Meta made minor adaptations to improve stability and performance during training. The neural network was trained using over 15 trillion tokens, making the dataset seven times larger than that of Llama 2.

Key Features

• Multilingual support including English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.

• Auto-regressive language model with an optimized transformer architecture.

• Supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) for alignment with human preferences.

• New mix of publicly available online data for training.

• Grouped-Query Attention (GQA) for improved inference scalability.

• Custom commercial license, the Llama 3.1 Community License, for use cases.

Know more about Llama 3.1 8B Instruct

What is Llama 3.1 8B Instruct

The Llama 3.1 8B is a light model in the Llama 3.1 family models. Instruct means an instruction-tuned text-only model optimized for multilingual dialogue use cases. Llama 3.1 8B Instruct was trained and fine-tuned using supervised fine-tuning, rejection sampling, and direct preference optimization.

Performance and Benchmark of Llama 3.1 8B Instruct

Context window: 128k

License: Open

Quality: Higher quality compared to average, with a MMLU score of 0.694 and a Quality Index across evaluations of 53.

Speed: Output speed of 193.8 tokens per second.

Latency: 0.35s to receive the first token (TTFT)

See the full comparison graphs if you are interested.

Comparison with other Llama 3.1 Models

Parameters

• Llama 3.1 8B: 8B

• Llama 3.1 70B: 70B

• Llama 3.1 405B: 405B

Context Length

• Llama 3.1 8B: 128K

• Llama 3.1 70B: 128K

• Llama 3.1 405B: 128k

Input Modalities

• Llama 3.1 8B: Multilingual Text

• Llama 3.1 70B: Multilingual Text

• Llama 3.1 405B: Multilingual Text

Training Time (GPU hours)

• Llama 3.1 8B: 1.46M

• Llama 3.1 70B: 7.0M

• Llama 3.1 405B: 30.84M

Llama 3 vs 3.1

Here is a simple graph comparing Llama 3 and Llama 3.1 family models.

How to Try Llama 3.1 8B Instruct

Try Llama 3.1 8B Instruct on Meta AI

You can try it on Meta AI, a platform developed Llama 3.1 models. For most queries, you can use the 70B model, but for more challenging prompts, you can use the 405B model.

If you're not in a country where Meta AI has been launched, here are alternative ways to utilize Llama 3.1 Instruct instead of visiting Meta's website.

Try Llama 3.1 8B Instruct on Novita AI

We provide Llama 3.1 API for developers. There are detailed guides on the Docs page. You can find the LLM API reference here.

You can also try it on our LLM playground. Once you sign up, you will have free vouchers, then you can choose the model and enter the prompt to test it.

Run Llama 3.1 8B Instruct on Novita AI

Why Choose Novita AI for Running Llama 3.1 8B Instruct?

• Seamless Integration and Performance: Novita AI’s advanced infrastructure ensures smooth and efficient deployment of Llama 3.1, reducing latency and boosting computational power for large-scale AI tasks.

• Scalability for Large Projects: Whether you’re handling small experiments or large production environments, Novita AI scales effortlessly to meet your needs without compromising performance.

• Cost Efficiency: Running large models like Llama 3.1 8B Instruct can be resource-intensive. Novita AI’s flexible pricing plans and optimized resource allocation ensure that you get the best value without overspending. You pay only for what you use, making it a cost-effective solution for AI workloads.

• 24/7 Support and Expertise: Novita AI provides round-the-clock support from a team of AI experts who can assist with any challenges you face while running Llama 3.1 8B Instruct. Whether you need technical help or guidance on optimizing your setup, Novita’s team is there to ensure your success.

How to Run Llama 3.1 8B Instruct on Novita AI

By choosing to run Llama 3.1 8B Instruct on Novita AI, you can harness the power of cutting-edge AI with ease, scalability, and performance. Don't miss out on this opportunity to supercharge your AI projects—sign up on Novita AI today and experience the difference! Get Started with Llama 3.1 on Novita AI Today!

Frequently Asked Questions

What are the different sizes of the Llama 3.1 models?

The Llama 3.1 models come in three sizes: 8 billion parameters, 70 billion parameters, and 405 billion parameters.

How can I use Llama 3.1 models with the transformers library?

You can use Llama 3.1 models with transformers by updating the transformers installation and using the pipeline abstraction or Auto classes with the generate function. You can view nousresearch/meta-llama-3-8b-instruct on Hugging Face.

What are the training factors for Llama 3.1 models?

Training utilized custom training libraries, Meta's GPU cluster, and production infrastructure, with a total of 39.3M GPU hours of computation on H100-80GB hardware.

How does Llama 3.1 handle multilinguality?

Llama 3.1 supports 7 languages in addition to English. It may be able to output text in other languages, but developers are strongly discouraged from using the model in non-supported languages without implementing finetuning and system controls.

Do primary document analysis need countercliam?

Yes, primary document analysis can include counterclaims. Primary sources can be a great way to identify and analyze claims and counterclaims from different perspectives

License

License: A custom commercial license, the Llama 3.1 Community License, is available.

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Source Site: Hugging Face

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