Understand and compare
Llama 3.1 405B Instruct
vs.
Llama 3 70B Instruct
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
Llama 3.1 405B Instruct was released
3 months after
Llama 3 70B Instruct.
Llama 3.1 405B Instruct
|
Llama 3 70B Instruct
|
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|---|---|---|
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Provider
The entity that provides this model.
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Meta
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Meta
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Input Context Window
The number of tokens supported by the input context window.
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128K
tokens
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8,000
tokens
|
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Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
2,048
tokens
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2,048
tokens
|
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Release Date
When the model was first released.
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2024-07-23
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2024-04-18
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Knowledge Cutoff
Limit on the knowledge base used by the model.
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December 2023
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December 2023
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Open Source
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API Providers
The providers that offer this model. (This is not an exhaustive list.)
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Pricing
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Llama 3.1 405B Instruct
|
Llama 3 70B Instruct
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|---|---|---|
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Input
Cost of input data provided to the model.
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Pricing not available.
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Pricing not available.
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Output
Cost of output tokens generated by the model.
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Pricing not available.
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Pricing not available.
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Benchmarks
Compare relevant benchmarks between Llama 3.1 405B Instruct
and Llama 3 70B Instruct.
|
Llama 3.1 405B Instruct
|
Llama 3 70B Instruct
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
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85.2
(5-shot)
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82.0
(5-shot)
|
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MMMU
A wide ranging multi-discipline and multimodal benchmark.
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Benchmark not available.
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Benchmark not available.
|
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HellaSwag
A challenging sentence completion benchmark.
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Benchmark not available.
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Benchmark not available.
|
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GSM8K
Grade-school math problems benchmark.
|
96.8
(8-shot)
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93.0
(8-shot)
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HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
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Benchmark not available.
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Benchmark not available.
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MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
73.8
(0-shot)
|
51.0
(0-shot)
|
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