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LocalLLaMA-posts

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ERROR: type should be string, got "https://reddit.com/link/1rjc60i/video/e9g0s5c7jqmg1/player\n\nI have two Rockchip RK3588's: an **Orange Pi 5 Plus (32gb RAM)** and an **Orange Pi 5 Max (16gb)**. I'm using the most recent version of **ik\\_llama.cpp** for its CPU optimizations, but I will include llama.cpp's results as well.\n\nI wanted to see what Qwen3.5-35B quants I could run on them, so here's what I found today.\n\n* **Runs**: 3 per model x {ik\\_llama, llama.cpp}, page cache dropped before every run\n* **Prompt**: \"`Explain the RK3588 in 5 bullets.\"`\n* **Generation**: 512 tokens, 16384 context\n\n# Orange Pi 5 Plus (32GB)\n\n|Model|llama.cpp average t/s|ik\\_llama.cpp average t/s|ik Speedup|Size (GiB)|\n|:-|:-|:-|:-|:-|\n|Unsloth UD-Q4\\_K\\_M|3.60|**8.20**|2.28x|18.5|\n|Bartowski Q4\\_K\\_M|3.70|**7.79**|2.11x|19.8|\n|Bartowski Q6\\_K\\_L|3.33|**6.45**|1.94x|27.0|\n\nThe \\~27% speed increase when using Q4 is probably worth the precision tradeoff, but ymmv of course.\n\n# Orange Pi 5 Max (16GB)\n\n|Model|llama.cpp average t/s|ik\\_llama.cpp average t/s|ik Speedup|Size (GiB)|\n|:-|:-|:-|:-|:-|\n|Bartowski Q2\\_K\\_L|3.73|**8.11**|2.17x|12.1|\n\nI didn't have much time to experiment with the Max, but I'll do more tomorrow.\n\n# Build llama.cpp\n\n git clone https://github.com/ggml-org/llama.cpp\n cd llama.cpp\n \n cmake -S . -B build \\\n -DCMAKE_BUILD_TYPE=Release \\\n -DGGML_NATIVE=ON \\\n -DGGML_OPENMP=ON\n \n cmake --build build --config Release -j\"$(nproc)\"\n\n# Build ik_llama.cpp\n\n git clone https://github.com/ikawrakow/ik_llama.cpp\n cd ik_llama.cpp\n \n CFLAGS=\"-O3 -pipe -march=native\" \\\n CXXFLAGS=\"-O3 -pipe -march=native -include arm_neon.h\" \\\n cmake -S . -B build -DGGML_NATIVE=ON -DGGML_OPENMP=ON\n \n cmake --build build --config Release -j\"$(nproc)\"\n\n# Commands\n\n**llama.cpp:**\n\n sudo sh -c 'echo 3 > /proc/sys/vm/drop_caches' && \\\n taskset -c 4-7 ~/llama.cpp/build/bin/llama-cli \\\n -m <MODEL_PATH> \\\n -t 4 -c 16384 -n 512 -st \\\n -p \"Explain the RK3588 in 5 bullets.\"\n\n**ik\\_llama.cpp:**\n\n sudo sh -c 'echo 3 > /proc/sys/vm/drop_caches' && \\\n echo \"\" | taskset -c 4-7 ~/ik_llama.cpp/build/bin/llama-cli \\\n -m <MODEL_PATH> \\\n -t 4 -c 16384 -n 512 \\\n -p \"Explain the RK3588 in 5 bullets.\"\n\n\n\nThank you to Unsloth and Bartowski for their open source contributions. I was inspired to make this post after seeing u/jslominski's for the RPi ([link](https://www.reddit.com/r/LocalLLaMA/comments/1rg87bj/qwen3535ba3b_running_on_a_raspberry_pi_5_16gb_and/)).\n\nI will be testing more models tomorrow, including some on my Jetson Orin Nano and other pcs. Right now I'm testing Qwen3.5-9b and -27b on some gaming laptops... let me know if you want to see anything in particular or if we can further improve the results."

ERROR: type should be string, got " https://github.com/anulum/director-ai\n \n Has anyone else tried running hallucination detection locally? Curious what\n approaches are working for you."