How do I make MTP work in llama-server?
📰 Reddit r/LocalLLaMA
Enable MTP in llama-server by configuring the command line arguments and environment variables correctly, which is crucial for efficient and secure server operation
Action Steps
- Compile llama.cpp with GGML_CUDA=ON to enable GPU acceleration
- Download the IQ4_NL gguf model from unsloth/Qwen3.6-35B-A3B-MTP-GGUF
- Run the llama-server command with the correct arguments, including -m for the model path and --host and --port for network configuration
- Configure the MTP-specific arguments, such as --no-mmap and --np, to optimize performance
- Test the llama-server with MTP enabled to ensure correct functionality
Who Needs to Know This
Developers and engineers working with llama-server and MTP technology can benefit from this guide to ensure seamless integration and optimal performance. This is particularly useful for those managing large-scale AI deployments
Key Insight
💡 Correct configuration of command line arguments and environment variables is essential for enabling MTP in llama-server
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🚀 Enable MTP in llama-server with the right command line args and env vars! 🤖
Key Takeaways
Enable MTP in llama-server by configuring the command line arguments and environment variables correctly, which is crucial for efficient and secure server operation
Full Article
Downloaded IQ4_NL gguf from unsloth/Qwen3.6-35B-A3B-MTP-GGUF. git cloned a recent llama.cpp (version: 9397 (ac4b5a3fd)) and compiled it with GGML_CUDA=ON to run on my single 3090 llama-server command without MTP: ./build/bin/llama-server -m ~/gguf/Qwen3.6-35B-A3B-UD-IQ4_NL.gguf --host 0.0.0.0 --port 8080 -c 4096 -fa on --no-mmap -np 1 -ngl 99 llama-server command with MTP: ./build/bin/llama-server -m ~
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