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Yi Large
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Yi Large

Large-scale Chinese language model developed by 01.AI with exceptional Chinese understanding and generation capabilities. Features powerful Chinese language processing while also performing well in English and other languages. Specifically optimized for Chinese user needs with unique advantages in Chinese cultural context understanding, Chinese expressions, and localized applications, suitable for various AI applications in Chinese market from intelligent writing to business analysis.
Intelligence(Relatively Weak)
Speed(Slow)
Input Supported Modalities
Yes
Is Reasoning Model
32,000
Context Window
-
Maximum Output Tokens
-
Knowledge Cutoff
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Output
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Yi-Large

Basic Parameters

Yi-LargeTechnical Parameters
Parameter Count
Not Announced
Context Length
32.00k tokens
Training Data Cutoff
Open Source Category
Proprietary
Multimodal Support
Text Only
Throughput
Release Date
2024-05-13
Response Speed
0 tokens/s

Benchmark Scores

Below is the performance of Yi-Large in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
27.89
Large Language Model Intelligence Level
Coding Index
14.77
Indicator of AI model performance on coding tasks
Math Index
31.43
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
58.6
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
36.3
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
3.2
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
10.8
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
18.8
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
74.4
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
56.2
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
6.7
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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