Llama 3 70B Instruct, developed by Meta, features a context window of 8000 tokens. The model was released on April 18, 2024, and achieved a score of 82.0 in the MMLU benchmark under a 5-shot scenario.
Overview
Llama 3 70B Instruct
Provider
The entity that provides this model.
Meta
Input Context Window
The number of tokens supported by the input context window.
8,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
2,048
tokens
Open Source
Whether the model's code is available for public use.
Yes
Release Date
When the model was first released.
2024-04-18
Knowledge Cut-off Date
When the model's knowledge was last updated.
API Providers
The providers that offer this model. (This is not an exhaustive list.)
Empirical Throughput
The number of tokens the model can generate per second.
Pricing
Llama 3 70B Instruct
Input
Cost of input data provided to the model.
Pricing not available.
Output
Cost of output tokens generated by the model.
Pricing not available.
Benchmarks
Llama 3 70B Instruct
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
82.0
(5-shot)
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
Benchmark not available.
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
51.0
(0-shot)
Measure & Improve LLM Product Performance.
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