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Originally created by @joliss on GitHub (Apr 28, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/4006
Originally assigned to: @mxyng on GitHub.
What is the issue?
wizardlm2:8x22b-q4_0is producing gibberish on my M2 Max MacBook Pro with 96 GB RAM:It works fine with
8x22b-q2_Kand7b-q4_0:This is happening both on Ollama version 0.1.32 and on main.
It seems to be the same issue as #3668, which was closed by the issue reporter when it resolved after a reinstall + restart for them, but neither rebuilding from source nor restarting the machine helped for me. I also tried re-pulling the model to force a SHA check.
OS
macOS
GPU
Apple
CPU
Apple
Ollama version
0.1.32 & main
@pdevine commented on GitHub (Apr 29, 2024):
I just tried this:
I seem to remember that there might be an issue w/ the
~/.ollama/assetsdirectory having oldmetalfiles in it which may be causing issues, but it's weird that the 2 bit quantized models work fine. cc @dhiltgenCan you confirm the ID of the model w/
ollama ls | grep wizardlm2:8x22b-q4_0? I get:@joliss commented on GitHub (Apr 29, 2024):
@pdevine Seems to be looking OK. What exact MacBook model are you on? Mine is a 16-inch MacBook Pro, M2 Max, 38-core GPU, 96 GB RAM, running Sonoma 14.4.1.
@pdevine commented on GitHub (Apr 29, 2024):
@joliss I'm using an M3 w/ 128 GB of RAM. Sonoma 14.2.1.
@pdevine commented on GitHub (Apr 29, 2024):
Hey @joliss , I think there were some changes that went in recently for metal around memory offloading, and I'm wondering if that is the issue here. These are some big models that you're trying out. It's possible that I'm not hitting it because I have more memory.
@joliss commented on GitHub (May 1, 2024):
@pdevine Issues with memory offloading seems like a plausible explanation. In the table in #4006, you can see various model sizes that I tested, and I'm noticing that the problem occurs exactly with the largest models that fit into my RAM, and thus cause high memory pressure. The models that work fine are the smaller ones, as well as the ones don't fit into RAM, where Ollama seems to be streaming them from disk rather than loading into memory (judging by how the memory pressure never goes up).
Is there any chance you could try
mixtral:8x22b-instruct-v0.1-q5_1(106 GB),mixtral:8x22b-instruct-v0.1-q6_K(116 GB) andmixtral:8x22b-text-v0.1-q8_0(149 GB) on your 128 GB machine? I'd be curious if it reproduces at one of these sizes for you.@pdevine commented on GitHub (May 1, 2024):
Hey @joliss , I think there is a fix for metal offloading which should be in
0.1.33. Can you test out the prerelease? I think should fix the problem.@joliss commented on GitHub (May 1, 2024):
@pdevine Just tried the 0.1.33 prerelease, and it's still happening with both wizardlm2 and mixtral.
@dhiltgen commented on GitHub (May 2, 2024):
@joliss can you share the server log so we can see the memory calculations and how many layers we tried to load? From the sounds of it we may be overshooting, and then the OS is paging part of the model out under memory pressure.
@mxyng commented on GitHub (May 2, 2024):
Related to #4028. I'm going to close this one as duplicate since #4028 captures the mixtral:8x22b of which wizardlm:8x22b is a fine tune.