Comments (12)
Hi @dan9070 & @Jrizzos ,
we have reproduced this error (Error: [0] server cpu not listed in available servers map[]
) on Windows and we are trying to fix it. Once it is done, will update here to let you know.
For now, as a workaround, you can try pip install ipex-llm[cpp]==2.1.0b20240508
, this version works on Windows.
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2.1.0b20240513 doesn't work for me. Same error again:
Error: [0] server cpu not listed in available servers map
Hi @tardigrade34 , I want to make sure if you have deleted the old
ollama.exe
in your directory and re-calledinit-ollama.bat
with 2.1.0b20240513, there should be anollama.exe
and adist
directory in your current directory:If you have already done this but still encounter problems, could you please provide us with the specific machine model and detailed error log so that we can further locate the problem ?
I did what you said and it worked. Thanks a lot!
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I will close this issue first, if you meet any other issues, you can reopen it or raise a new issue about it.
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Hello, same here. Tried oneapi through pip and win installer but same results. Llama.cpp tested and runs just fine with SYCL support recognizing my Intel gpu. Ollama on the other hand does not recognize the gpu st all.My host is running win11.
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I'm having the same problem, looking forward to the Update.
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Hi @dan9070 & @Jrizzos , we have reproduced this error (
Error: [0] server cpu not listed in available servers map[]
) on Windows and we are trying to fix it. Once it is done, will update here to let you know. For now, as a workaround, you can trypip install ipex-llm[cpp]==2.1.0b20240508
, this version works on Windows.
This resolved it for me. Thank you.
Another person inside Intel Dev Inisders Discord also got it resolved with this package. I will notify other Intel Arc users with similar issues.
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Hi all, this issue has been fixed for ipex-llm[cpp]>=2.1.0b20240513
: )
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Hi all, this issue has been fixed for
ipex-llm[cpp]>=2.1.0b20240513
: )
2.1.0b20240513 doesn't work for me. Same error again: Error: [0] server cpu not listed in available servers map
from ipex-llm.
2.1.0b20240513 doesn't work for me. Same error again:
Error: [0] server cpu not listed in available servers map
Hi @tardigrade34 , I want to make sure if you have deleted the old ollama.exe
in your directory and re-called init-ollama.bat
with 2.1.0b20240513, there should be an ollama.exe
and a dist
directory in your current directory:
If you have already done this but still encounter problems, could you please provide us with the specific machine model and detailed error log so that we can further locate the problem ?
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Error: [0] server cpu not listed in available servers map
from ipex-llm.
Error: [0] server cpu not listed in available servers map
I compile the newest ollama,generate the binary:ollama.exe, app.exe。I start ollama.exe and app.exe,when I run “ollama.exe run qwen:7b”,encounter the above error
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Error: [0] server cpu not listed in available servers map
I compile the newest ollama,generate the binary:ollama.exe, app.exe。I start ollama.exe and app.exe,when I run “ollama.exe run qwen:7b”,encounter the above error
Hi @czfdlut , ipex-llm ollma doesn't release app.exe
, in my understanding, you compile ollama by yourself, right ?
Maybe you can try with ipex-llm ollama based on this quickstart(https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/ollama_quickstart.html) if you do want to run ollama on your machine with Intel GPUs. Otherwise, maybe you should raise this issue to ollama public repo : )
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Related Issues (20)
- ipex-llm version 0510 has regression than 0430, especially for BS=16,32 and 8k input HOT 2
- Can you help to release common.lib for llama.cpp with ipex-llm? HOT 1
- llama3-8B causes MTL iGPU runtime error when ipex-llm's running AI inference HOT 3
- Segmentation fault (core dumped) while inferencing with MTL iGPU HOT 4
- Support both Llama2 and stablelm/Zephyr-3B HOT 2
- all-in-one benchmark with Baichuan2-13B OOM HOT 1
- MTL Windows Qwen-VL AttributeError: 'QWenAttention' object has no attribute 'position_ids' HOT 4
- ChatGLM run error on MTL iGPU HOT 1
- failed to run truthfulqa_mc1 by harness HOT 2
- how to switch to load multiple llm models in a streamlit page? HOT 3
- Transform a string into input llama2-specific and llama3-specific input ? HOT 1
- Docker on Windows vllm serving issue HOT 15
- default values of max_generated_tokens, top_k, top_p, and temperature? HOT 1
- log using ipex-llm instead of bigdl-llm in while running native models
- Weights of LlamaForCausalLM were not initialized from the model checkpoint at meta-llama/Meta-Llama-3-8B-Instruct? HOT 1
- vLLM offline_inference.py failed to run on CPU inference HOT 1
- Unable to save quantized model HOT 1
- Llama 3 performance drop from transformers version 4.37.2 to 4.38.0 HOT 1
- about conflict HOT 2
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