Looking for a working Deepseek-v4-Flash quant

1. 1Explore alternative quantization methods using llama.cpp
2. 2Test VLLM support for various hardware configurations beyond H100s
3. 3Evaluate the performance of DeepSeek-v4-Flash with different quantization parameters
4. 4Configure and fine-tune the model for optimal results
5. 5Apply the optimized quantization to other large language models

AI engineers and researchers working with large language models benefit from optimized quantization techniques to improve model performance and efficiency. They can apply these techniques to various AI projects, including natural language processing and generation tasks.

💡 Optimizing quantization parameters can significantly improve the performance and coherence of large language models like DeepSeek-v4-Flash

🤖 Improve DeepSeek-v4-Flash performance with optimized quantization! 🚀