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PaLM2-S

Foundation model

PaLM2-S

Release date: 2023-05-10Updated: 2023-08-27Views: 623
Live demoGitHubHugging FaceCompare
Parameters
No data
Context length
4K
Multilingual
Supported
Reasoning ability
No data

PaLM2-S is an AI model published by Google Research, released on 2023-05-10, for Foundation model, and 4K context length, with a 88.40 score on HumanEval.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

PaLM2-S

Model basics

Reasoning traces
No data
Thinking modes
Thinking modes not supported
Context length
4K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2023-05-10
Model file size
No data
MoE architecture
No
Total params / Active params
No data / Not applicable
Knowledge cutoff
No data
PaLM2-S

Open source & experience

Code license
Proprietary
Weights license
Proprietary
GitHub repo
N/A
Hugging Face
N/A
Live demo
N/A
PaLM2-S

Official resources

Paper
Paper
DataLearnerAI blog
N/A
PaLM2-S

API details

API speed
No data
No public API pricing yet.
PaLM2-S

Benchmark Results

PaLM2-S currently shows benchmark results led by HumanEval (23 / 140, score 88.40), MBPP (67 / 96, score 50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking

Coding and Software Engineer

3 evaluations
Benchmark / mode
Score
Rank/total
HumanEval
Standard Mode
88.40
23 / 140
HumanEval
Standard Mode
37.60
103 / 140
MBPP
Standard Mode
50
67 / 96
View benchmark analysisCompare with other models
PaLM2-S

Publisher

PaLM2-S

Model Overview

PaLM2-S is an AI model published by Google Research, released on 2023-05-10, for Foundation model, and 4K context length, with a 88.40 score on HumanEval.

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