Llama 3.1 70b Model Card
by Fireworks
Explore detailed LLM evaluation metrics and benchmarks for Llama 3.1 70b, a open-source large language model by Fireworks. Compare API costs, context windows, and performance across multiple LLM benchmarks including MMLU (general knowledge), MMMU (multimodal capabilities), HellaSwag (common sense reasoning), HumanEval (code generation), and MATH (mathematical reasoning).
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Pricing
Input Processing
Cost per million tokens for processing prompts
$0.90per million tokens
Generation
Cost per million tokens for responses
$0.90per million tokens
Model Details
Context Length
Maximum input length the model can process at once
128000Ktokens
Response Length
Maximum length of a single generated response
2Ktokens
Release Date
First public release date
July 23, 2024
Training Cutoff
Latest date of data included in training
December 2023
License Type
Model licensing and availability
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics
83.6score
5-shot
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media
Not available
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations
Not available
Code Generation (HumanEval)
Ability to write and understand programming code
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning
68.0score
0-shot
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Next.js 14, TypeScript & Tailwind
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