Benchmarking GLM 4.6V vs. GLM 4.5 Air Models
The article discusses the differences between the GLM 4.6V and GLM 4.5 Air language models, with the 4.6V including vision capabilities. It asks if anyone has run benchmarks or real-world tests to compare the performance of the two models.
Why it matters
Comparing the performance of different AI language models with varying capabilities is important for understanding their strengths, limitations, and potential applications.
Key Points
- 1GLM 4.6V is a newer generation model with added vision capabilities
- 2There is debate around whether vision capabilities may impact textual performance
- 3GLM 4.6V already has support in llama.cpp and GGUFs
Details
The GLM 4.6V and GLM 4.5 Air are large language models of the same size, but the 4.6V is a newer generation that includes vision capabilities in addition to text processing. Some argue that adding vision may reduce the model's textual performance, while others believe multimodality could enhance its overall understanding of the world. The article asks if anyone has run benchmarks or real-world tests to compare the two models and their capabilities.
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