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Confirm that you have followed the installation instructions in the project’s documentation.
Check that you are using the latest version of the project.
Verify disk space availability for model storage and data processing.
Ensure that you have the necessary permissions to run the project.
NVIDIA GPU Setup Checklist
Check that the all CUDA dependencies are installed and are compatible with your GPU (refer to CUDA's documentation)
Ensure an NVIDIA GPU is installed and recognized by the system (run nvidia-smi to verify).
Ensure proper permissions are set for accessing GPU resources.
Docker users - Verify that the NVIDIA Container Toolkit is configured correctly (e.g. run sudo docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi)
The text was updated successfully, but these errors were encountered:
If you have access to the original Ollama Modelfile, remove the parameter tfs_z and then update the remote using ollama push. I don't think this should affect the token generation during inference, so if you are encountering issues it is probably related to something else
Pre-check
Description
logs of ollama0.5.7 with LLM Llama3.2:7b
level=WARN source=types.go:512 msg="invalid option provided" option=tfs_z
Ref : ollama/ollama#8252
Steps to Reproduce
Expected Behavior
response with correct summarize result
Actual Behavior
response with Failed
Environment
macbookpro with M3 max
Additional Information
No response
Version
No response
Setup Checklist
NVIDIA GPU Setup Checklist
nvidia-smi
to verify).sudo docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi
)The text was updated successfully, but these errors were encountered: