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PanGu-Coder2

Coding model

PanGu-Coder2

Release date: 2023-07-27Updated: 2023-07-28 21:35:42.792627
Live demoGitHubHugging FaceCompare
Parameters
15B
Context length
8K
Chinese support
Supported
Reasoning ability

PanGu-Coder2 is an AI model published by Huawei, released on 2023-07-27, for Coding model, with 15B parameters, and 8K context length, requiring about 0GB storage, with a 91.76 score on HumanEval pass@100.

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

PanGu-Coder2

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
8K tokens
Max output length
No data
Model type
Coding model
Modality (in / out)
No data
Release date
2023-07-27
Model file size
0GB
MoE architecture
No
Total params / Active params
15B / N/A
Knowledge cutoff
No data
PanGu-Coder2

Open source & experience

Code license
Proprietary
Weights license
Proprietary
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Live demo
No live demo
PanGu-Coder2

Official resources

Paper
DataLearnerAI blog
No blog post yet
PanGu-Coder2

API details

API speed
No data
No public API pricing yet.
PanGu-Coder2

Benchmark Results

PanGu-Coder2 currently shows benchmark results led by HumanEval pass@10 (2 / 18, score 79.55), HumanEval pass@100 (5 / 21, score 91.76), HumanEval (41 / 101, score 61.64). 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

1 evaluations
Benchmark / mode
Score
Rank/total
HumanEval
Standard Mode
61.64
41 / 101

Coding and Software Engineering

2 evaluations
Benchmark / mode
Score
Rank/total
HumanEval pass@100
Standard Mode
91.76
5 / 21
HumanEval pass@10
Standard Mode
79.55
2 / 18

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PanGu-Coder2

Publisher

PanGu-Coder2

Model Overview

PanGu-Coder2 is an AI model published by Huawei, released on 2023-07-27, for Coding model, with 15B parameters, and 8K context length, requiring about 0GB storage, with a 91.76 score on HumanEval pass@100.

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