Llama 3.3 70B Instruct, created by Meta, is a multilingual large language model specifically fine-tuned for instruction-based tasks and optimized for conversational applications. It is capable of processing and generating text in multiple languages, with a context window supporting up to 128,000 tokens. Launched on December 6, 2024, the model surpasses numerous open-source and proprietary chat models in various industry benchmarks. It utilizes Grouped-Query Attention (GQA) to improve scalability and has been trained on a diverse dataset comprising over 15 trillion tokens from publicly available sources. The model's knowledge is current up to December 2023.
Amazon Nova Lite is a versatile multimodal model designed to process text, image, and video inputs, producing text-based outputs. Featuring a 300K-token context window, it is well-suited for real-time interactions, document analysis, and visual question answering. As part of the Amazon Nova foundation models, it supports fine-tuning and distillation, enabling advanced customization.
Llama 3.3 70B Instruct | Nova Lite | |
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Provider | ||
Web Site | - | |
Release Date | Dec 06, 2024 4 months ago | Dec 02, 2024 4 months ago |
Modalities | text | text images video |
API Providers | Fireworks, Together, DeepInfra, Hyperbolic | Amazon Bedrock |
Knowledge Cut-off Date | 12.2024 | Purposefully not disclosed |
Open Source | Yes | No |
Pricing Input | $0.23 per million tokens | $0.06 per million tokens |
Pricing Output | $0.40 per million tokens | $0.24 per million tokens |
MMLU | 86% 0-shot, CoT Source | 80.5% CoT Source |
MMLU Pro | 68.9% 5-shot, CoT Source | Not available |
MMMU | Not available | Not available |
HellaSwag | Not available | Not available |
HumanEval | 88.4% pass@1 Source | 85.4% pass@1 Source |
MATH | 77% 0-shot, CoT Source | 73.3% CoT Source |
GPQA | 50.5% 0-shot, CoT Source | 42% Main Source |
IFEval | 92.1% Source | 89.7% Source |
Mobile Application | - | - |
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