Mistral-Small-Instruct-2409 VS InternLM2.5-Chat-7B
| Model Name | Affiliated organization | Release time | Model parameter quantity | Comprehensive score |
|---|---|---|---|---|
| Mistral-Small-Instruct-2409 | Mistral AI | September 17, 2024 | 22B | 3.4 |
| InternLM2.5-Chat-7B | Shanghai AI Laboratory | July 5, 2024 | 7B | 2.9 |
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Brief Comparison of Mistral-Small-Instruct-2409 VS InternLM2.5-Chat-7B 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
InternLM2.5-Chat-7B exhibits high-level computational reasoning. Mistral-Small-Instruct-2409 produces frequent errors, making it difficult to rely on for complex problem-solving.
