Understand and compare
Llama 2 Chat 13B
vs.
Llama 3 70B Instruct
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
Llama 2 Chat 13B was released
9 months before
Llama 3 70B Instruct.
Llama 2 Chat 13B
|
Llama 3 70B Instruct
|
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|---|---|---|
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Provider
The entity that provides this model.
|
Meta
|
Meta
|
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Input Context Window
The number of tokens supported by the input context window.
|
4,096
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.
|
2023-07-18
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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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September 2022
|
December 2023
|
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Open Source
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|
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API Providers
The providers that offer this model. (This is not an exhaustive list.)
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|
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Pricing
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Llama 2 Chat 13B
|
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 2 Chat 13B
and Llama 3 70B Instruct.
|
Llama 2 Chat 13B
|
Llama 3 70B Instruct
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
54.8
|
82.0
(5-shot)
|
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MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
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HellaSwag
A challenging sentence completion benchmark.
|
80.7
(10-shot)
|
Benchmark not available.
|
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GSM8K
Grade-school math problems benchmark.
|
28.7
(8-shot)
|
93.0
(8-shot)
|
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HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
|
18.3
(0-shot)
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Benchmark not available.
|
|
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
Benchmark not available.
|
51.0
(0-shot)
|
Llama 2 Chat 13B, developed by Meta, features a context window of 4096 tokens. The model was released on July 18, 2023, and achieved a score of 54.8 in the MMLU benchmark.
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.
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