Is Q8 KV Cache Suitable for Vision Models and High Context?
Analysis
The Reddit post from r/LocalLLaMA initiates a discussion regarding the efficacy of using Q8 KV cache with vision models, specifically mentioning GLM4.6 V and qwen3VL. The core question revolves around whether this configuration provides satisfactory outputs or if it degrades performance. The post highlights a practical concern within the AI community, focusing on the trade-offs between model size, computational resources, and output quality. The lack of specific details about the user's experience necessitates a broader analysis, focusing on the general challenges of optimizing vision models and high-context applications.
Key Takeaways
- •The post raises a practical question about the performance of Q8 KV cache with vision models.
- •The discussion highlights the importance of balancing model size, computational resources, and output quality.
- •The lack of specific user experiences necessitates further investigation and experimentation.
“What has your experience been with using q8 KV cache and a vision model? Would you say it’s good enough or does it ruin outputs?”