Very interesting. I am always curious on llama.cpp and vllm. All the best for samosa inference engine. One reason I am not running local models on my Mac now a days, is My Mac book pro is getting heated more. Otherwise would love to run couple (at least 1 to 3) of local models continuously.
Actually quite cool. My mac is not getting heated. will check more. Memory pressure is very low. I see it (memory used) just increased from 22GB to 27Gb(on 48GB pro), while using somosa command(again a very basic test). Not really measured tokens/s, but I see it's reasonable.
Very interesting. I am always curious on llama.cpp and vllm. All the best for samosa inference engine. One reason I am not running local models on my Mac now a days, is My Mac book pro is getting heated more. Otherwise would love to run couple (at least 1 to 3) of local models continuously.
>>One reason I am not running local models on my Mac now a days, is My Mac book pro is getting heated more
Samosa was optimized for keeping mac's temp in check. This is one of the important reasons for creating this - no excessive wear/tear to the machine. https://github.com/deepanwadhwa/samosa-chat#the-three-princi...
maybe give it a try and let me know if your macbook is getting heated while running this?
Actually quite cool. My mac is not getting heated. will check more. Memory pressure is very low. I see it (memory used) just increased from 22GB to 27Gb(on 48GB pro), while using somosa command(again a very basic test). Not really measured tokens/s, but I see it's reasonable.
+1 for pairing Samosa with Chāt :D :D
i was pleasantly surprised to find out it hadn't been done until now.
This is pretty sick. 7tokens/second is not fast but still seems useful.