Nvidia releases weights for Llama-3.1-Nemotron-70B-Instruct
NVIDIA launched the Llama-3.1-Nemotron-70B-Instruct model, ranking first in three benchmarks, utilizing RLHF techniques, requiring significant hardware, and emphasizing ethical AI development and responsible usage.
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NVIDIA has introduced the Llama-3.1-Nemotron-70B-Instruct, a large language model designed to enhance the helpfulness of responses generated for user queries. As of October 1, 2024, it ranks first in three automatic alignment benchmarks: Arena Hard (85.0), AlpacaEval 2 LC (57.6), and GPT-4-Turbo MT-Bench (8.98), surpassing other leading models like GPT-4o and Claude 3.5 Sonnet. The model was developed using Reinforcement Learning from Human Feedback (RLHF) techniques, specifically REINFORCE, and is based on the Llama-3.1-70B-Instruct model. It is optimized for deployment using NVIDIA's NeMo Framework, requiring significant hardware resources, including multiple NVIDIA GPUs. The model can handle a maximum of 128k tokens for input and 4k tokens for output. Ethical considerations are emphasized, with NVIDIA advocating for responsible AI development and usage. Users are encouraged to follow the terms of service and collaborate with model teams to ensure compliance with industry standards. The model is available for free hosted inference, and detailed instructions for setup and usage are provided.
- Llama-3.1-Nemotron-70B-Instruct is optimized for helpfulness in user queries.
- It ranks first in three key alignment benchmarks as of October 2024.
- The model utilizes RLHF techniques for training and evaluation.
- Deployment requires substantial hardware resources, including NVIDIA GPUs.
- Ethical AI development and responsible usage are emphasized by NVIDIA.
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3 comments"Cidr /17 is what subnet mask?"
Here is it's answer:
"A simple subnetting question!
Given: CIDR /17
To determine the corresponding subnet mask, we need to understand how CIDR notation works. CIDR (Classless Inter-Domain Routing) notation is a compact way to express the relationship between an IP address and its associated routing prefix. The number after the slash (/) represents the number of leading 1-bits in the subnet mask when it's converted to binary.
A subnet mask for IPv4 is 32 bits long. Here's how to convert /17 to a subnet mask:
Determine the number of 1-bits: /17 means the first 17 bits are 1. Determine the number of 0-bits: Since the total length is 32 bits, and 17 are 1-bits, the remaining bits are 0. So, 32 - 17 = 15 bits are 0. Convert to binary and then to dotted decimal: Binary: The first 17 bits are 1, and the last 15 bits are 0. 11111111111111111 000000000000000 Dotted Decimal: Divide the binary into four parts (each 8 bits long, known as octets) and convert each to decimal. 11111111 = 255 11111111 = 255 00000000 = 0 000000000000000 (last 8 bits of the 15 zeros) = 0 So, the subnet mask for CIDR /17 in dotted decimal notation is: 255.255.0.0."
Yes it's a simple subnetting question and it got it wrong. Right answer is 255.255.128.0.
> this model can correctly the question How many r in strawberry? without specialized prompting or additional reasoning tokens
Can be tested here: https://huggingface.co/chat/models/nvidia/Llama-3.1-Nemotron...
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