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Qwen-14B

Foundation modelQwen

Qwen-14B

Release date: 2023-09-24Updated: 2023-09-26 11:46:11.8541,355
Parameters
14B
Context length
8K
Chinese support
Supported
Reasoning ability

Qwen-14B is an AI model published by Alibaba, released on 2023-09-24, for Foundation model, with 14B parameters, and 8K context length, requiring about 28.32GB storage, with a 72.10 score on C-Eval.

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

Qwen-14B

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
8K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2023-09-24
Model file size
28.32GB
MoE architecture
No
Total params / Active params
14B / N/A
Knowledge cutoff
No data
Qwen-14B

Open source & experience

Code license
Weights license
- Commercial use permitted
Live demo
No live demo
Qwen-14B

Official resources

Paper
No paper available
DataLearnerAI blog
No blog post yet
Qwen-14B

API details

API speed
No data
No public API pricing yet.
Qwen-14B

Benchmark Results

Qwen-14B currently shows benchmark results led by C-Eval (18 / 48, score 72.10), GSM8K (33 / 70, score 61.30), MMLU (82 / 124, score 66.30). 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

General Knowledge

2 evaluations
Benchmark / mode
Score
Rank/total
C-Eval
Standard Mode
72.10
18 / 48
MMLU
Standard Mode
66.30
82 / 124

Math and Reasoning

1 evaluations
Benchmark / mode
Score
Rank/total
GSM8K
Standard Mode
61.30
33 / 70

Coding and Software Engineer

2 evaluations
Benchmark / mode
Score
Rank/total
MBPP
Standard Mode
40.80
57 / 70
HumanEval
Standard Mode
32.30
78 / 101

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Qwen-14B

Publisher

Qwen-14B

Model Overview

Qwen-14B is an AI model published by Alibaba, released on 2023-09-24, for Foundation model, with 14B parameters, and 8K context length, requiring about 28.32GB storage, with a 72.10 score on C-Eval.

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