Llama3.1-405B-Instruct-FP8 VS DeepSeek-V2-Chat
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| Llama3.1-405B-Instruct-FP8 | Meta | July 23, 2024 | 70B | 5.8 |
| DeepSeek-V2-Chat | DeepSeek | May 6, 2024 | 236B | 5.7 |
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
Swipe left and right to view more
Brief Comparison of Llama3.1-405B-Instruct-FP8 VS DeepSeek-V2-Chat AI Models
Comprehensive Capability Comparison
Neither model possesses practical application capabilities, frequently producing erroneous outputs with extremely low task completion rates.
Language Understanding Comparison
Both models are unreliable with high error rates, unsuitable for meaningful tasks.
Mathematical Reasoning Comparison
Llama3.1-405B-Instruct-FP8 handles typical reasoning tasks effectively. DeepSeek-V2-Chat often generates flawed outputs or lacks contextual consistency.
