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Originally created by @jason-c-kwan on GitHub (Apr 9, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/3563
What is the issue?
Just cloned ollama earlier today after the merging of PR#6491 in llama.cpp, so it should be able to deal with command-r-plus. There is already some quants of command-r-plus on ollama, but I wanted to import the full range for testing.
Using the GGUFs from dranger003/c4ai-command-r-plus-iMat.GGUF,
./ollama createfails with the following:Note: I tested with ggml-c4ai-command-r-plus-104b-iq1_s.gguf and gave up after.
Using the GGUFs from pmysl/c4ai-command-r-plus-GGUF,
./ollama createseems to run fine but then./ollama runfails:What did you expect to see?
For
./ollama create, it should reportsuccess. For./ollama run, I should get an interactive prompt and of course intelligible output from the model.Steps to reproduce
I cloned Ollama
Installed go 1.22 and cuda 12
(I am using Linux mint)
go generate ./...go build .Then attempted to make a Modelfile and did
./ollama createand./ollama run.Are there any recent changes that introduced the issue?
No response
OS
Linux
Architecture
amd64
Platform
No response
Ollama version
0.1.30
GPU
Nvidia
GPU info
2 x 3090, 1 x 3060 TI, 1 x Quadro M6000
CPU
Intel
Other software
No response
@sammcj commented on GitHub (Apr 9, 2024):
I've had problems with Ollama and IQ quants before, I'm not sure Ollama works with them but it would be nice to have these available.
@jason-c-kwan commented on GitHub (Apr 9, 2024):
Problem is I couldn't get the non iq quant to work either, although perhaps I am doing something wrong. I know you have been able to do it so any insight would be appreciated.
@zhaopengme commented on GitHub (Apr 10, 2024):
+1
@chigkim commented on GitHub (Apr 10, 2024):
I downloaded q3_k_m part 1 and part 2 and merged them with gguf_split --merge.
It worked fine with the latest llama.cpp.
I tried to import to Ollama and run it, I get the same message about wrong number of tensors like OP.
Hopefully it gets sorted out soon.
@sammcj commented on GitHub (Apr 10, 2024):
Make sure you built Ollama from the latest source.
If it helps this is my personal build script, feel free to modify etc... https://github.com/sammcj/scripts/blob/master/build_ollama.sh
(Note: Run with
PATCH_OLLAMA=false ./build_ollama.shif you don't want my build tweaks)@taozhiyuai commented on GitHub (Apr 10, 2024):
can import, but error when run it
https://github.com/ollama/ollama/issues/3577
@jason-c-kwan commented on GitHub (Apr 10, 2024):
I tried a few more things without success. I confirmed that my local built ollama cannot pull and run sammcj/cohereforai_c4ai-command-r-plus. I also tried to import a non-iq gguf from the dranger0003 version of the model on Hugging Face. I also tried another version of command-r-plus that seems to have been uploaded to the ollama hub (jmorgan/command-r-plus). It seems that in all cases I get the same error when running:
So the first error I wrote about above seems to be due to the iq quant versions as @sammcj mentioned. The other error seems to be quite consistent. @sammcj I did try your build script, but it seemed to have a lot of parts specific to macs. I made sure to clone the latest llama.cpp into llm/ and built the normal way again. Got the same error. I guess those users with Macs might be able to use their script successfully?
@atgreen commented on GitHub (Apr 11, 2024):
I was able to reproduce this with v0.1.31, but it works now with the ollama v0.1.32 prerelease.
@DirtyKnightForVi commented on GitHub (Apr 11, 2024):
hello, I'm kinda stuck on how to merge these files. Any tips you could throw my way?
@chigkim commented on GitHub (Apr 11, 2024):
I can also confirm 0.3.2-rc1 works!
@DirtyKnightForVi you need to use gguf-split from llama.cpp.
https://github.com/ggerganov/llama.cpp
@jason-c-kwan commented on GitHub (Apr 11, 2024):
Yes, thanks @atgreen ! Can confirm it works. Will close this issue.
@ehartford commented on GitHub (Apr 11, 2024):
how to update to v0.1.32?
@dector commented on GitHub (Apr 11, 2024):
I guess you can try RC1 here: https://github.com/ollama/ollama/releases/tag/v0.1.32-rc1
@DirtyKnightForVi commented on GitHub (Apr 12, 2024):
Thank you so much ! Actually, I upgraded ollama to the latest preview version, but I might have messed up the way I used the downloaded model files. Instead of using
gguf_split --merge, I just went with a simplecat. It seems like when ollama loads the model files (using Modelfile locally), it prefers loading them as whole rather than splited.@DirtyKnightForVi commented on GitHub (Apr 12, 2024):
Did you already merge the model files before editing Modelfile? For the files that have been split, I'm not sure if 'FROM' should be followed by '0001of0002.gguf', or if you need to specify the complete merged model file?