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Comment by coder543

EDIT: Attempting to converse with any Q4_K_M 7B parameter model on a 15 Pro Max... the phone just melts down. It feels like it is producing about one token per minute. MLC-Chat can handle 7B parameter models just fine even on a 14 Pro Max, which has less RAM, so I think there is an issue here.

EDIT 2: Even using StableLM, I am experiencing a total crash of the app fairly consistently if I chat in one conversation, then start a new conversation and try to chat in that. On a related note, since chat history is saved... I don't think it's necessary to have a confirmation prompt if the user clicks the "new chat" shortcut in the top right of a chat.

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That does seem much nicer than MLC Chat. I really like the selection of models and saving of conversations.

It looks like you’re still using the old version of TinyLlama. The 1.0 release is out now: https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v1.0-GGU...

Microsoft recently re-licensed Phi-2 to be MIT instead of non-commercial, so I would love to see that in the list of models. Similarly, there is a Dolphin-Phi fine tune.

The topic of discussion here is Mistral-7B v0.2, which is also missing from the model list, unfortunately. There are a few Mistral fine tunes in the list, but obviously not the same thing.

I also wish I could enable performance metrics to see how many tokens/sec the model was running at after each message, and to see how much RAM is being used.

On the whole, this app seems really nice!

parent coder543 2 years ago

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