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Overview
Llama 3.1 70B Instruct was released 3 months after Llama 3 8B Instruct.
Llama 3.1 70B Instruct
Llama 3 8B Instruct
Provider
The entity that provides this model.
Meta
Meta
Input Context Window
The number of tokens supported by the input context window.
128K
tokens
8,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
2,048
tokens
2,048
tokens
Release Date
When the model was first released.
2024-07-23
2024-04-18
Knowledge Cutoff
Limit on the knowledge base used by the model.
December 2023
March 2023
Open Source
API Providers
The providers that offer this model. (This is not an exhaustive list.)
Pricing
Llama 3.1 70B Instruct
Llama 3 8B Instruct
Input
Cost of input data provided to the model.
Pricing not available.
Pricing not available.
Output
Cost of output tokens generated by the model.
Pricing not available.
Pricing not available.
Benchmarks
Compare relevant benchmarks between Llama 3.1 70B Instruct and Llama 3 8B Instruct.
Llama 3.1 70B Instruct
Llama 3 8B Instruct
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
83.6
(5-shot)
68.4
(5-shot)
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.
GSM8K
Grade-school math problems benchmark.
95.1
(8-shot)
80.6
(8-shot)
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
Benchmark not available.
Benchmark not available.
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
68.0
(0-shot)
29.1
(0-shot)
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