3 ms·
q4 or q5 quantization. Edit: Actually you'd want q3 to fit a 200B model into 128GB of RAM. e.g. this one is about 140GB https://huggingface.co/lmstudio-commun
by kristianp 2y ago
q4 or q5 quantization.
Edit: Actually you'd want q3 to fit a 200B model into 128GB of RAM. e.g. this one is about 140GB https://huggingface.co/lmstudio-community/DeepSeek-V2.5-GGUF/tree/main https://huggingface.co/lmstudio-community/DeepSeek-V2.5-GGUF...
- cjbprime 2y agoWouldn't it be incredibly misleading to say you can interact with an LLM, when they really mean that you can lossy-compress it to like 25% size where it becomes way less useful and then interact with that? (Isn't that kind of like saying you can do real-time 4k encoding when you actually mean it can do real-time 720p encoding and then interpolate the missing pixels?)
- kristianp 2y agoYes the size is much reduced, and you do have reduced quality as a result, but it isn't as bad as what you're implying. Just a few days ago Meta released q4 versions of their llama models. It's an active research topic.