Llama-3.1-Nemotron-70B-Instruct
| Property | Value |
|---|---|
| Base Model | meta-llama/Llama-3.1-70B-Instruct |
| License | LLama 3.1 |
| Language | English |
| Paper | HelpSteer2-Preference Paper |
What is Llama-3.1-Nemotron-70B-Instruct?
Llama-3.1-Nemotron-70B-Instruct is NVIDIA's advanced language model built on Meta's Llama 3.1 architecture. This model represents a significant achievement in AI alignment, ranking #1 on multiple prestigious benchmarks including Arena Hard (85.0), AlpacaEval 2 LC (57.6), and GPT-4-Turbo MT-Bench (8.98) as of October 2024.
Implementation Details
The model was developed using RLHF (specifically REINFORCE) methodology, utilizing the HelpSteer2-Preference prompts dataset. It's designed to run on NVIDIA hardware (Ampere, Hopper, or Turing architectures) and requires at least 4x40GB or 2x80GB GPUs for deployment.
- Built on Llama 3.1 architecture with transformer-based design
- Supports up to 128k input tokens and 4k output tokens
- Trained on 20,324 carefully curated prompt-responses
- Deployable through NVIDIA's NeMo Framework and TRT-LLM
Core Capabilities
- Superior helpfulness in general-domain instruction following
- Enhanced factual accuracy and response coherence
- Customizable complexity and verbosity in responses
- Excellent performance on complex reasoning tasks
- Efficient deployment through NVIDIA's optimized inference solution
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its unprecedented performance on key benchmarks, surpassing even GPT-4 and Claude 3.5 Sonnet in automated alignment metrics. It's specifically optimized for helpfulness while maintaining high standards of factual accuracy and coherence.
Q: What are the recommended use cases?
The model excels in general-domain instruction following and can be effectively used for various applications requiring helpful, accurate, and coherent responses. However, it's worth noting that it hasn't been specifically tuned for specialized domains like mathematics.
