Comments (1)
Hi @reeingal, ollama with IPEX-LLM does not support running on a pure CPU platform, as we haven't optimized ollama for CPU. You may switch to a GPU device to enable IPEX-LLM optimizations.
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Related Issues (20)
- Add support for StableLM-2-12B on GPUs
- [Windows] Qwen1.5-7B 8K支持 HOT 4
- "can NOT allocate memory block with size larger than 4GB" on Arc A770 GPU when inference HOT 1
- [Windows] Qwen1.5-7B 性能优化
- ubuntu 22.04 MTL 165h benchmark Aborted (core dumped) HOT 2
- IPEX-LLM with Langchain-chatchat runs into httpcore.RemoteProtocolError in MTL with iGPU HOT 2
- IPEX-LLM(llama.cpp) met core dump when run Qwen-7B-Q4_K_M.gguf on Intel ARC770 HOT 4
- Quantized model loading method expects the model should be locally available. HOT 2
- Ollama Linux seg fault with GPU on Ubuntu 22.04 HOT 3
- Ollama on Windows not working HOT 4
- GLM-4-9B-Chat missing 'import math' HOT 1
- Error running llama.cpp with IPEX-LLM on MTL iGPU following quickstart guide (Native API returns: -30 (PI_ERROR_INVALID_VALUE)) HOT 16
- [utils] invalidInputError during RuntimeError HOT 8
- [qwen2][windows][MTL] 6-8k input token OOM HOT 3
- Qwen-7b int8 inference speed is too slow, only 3-4 tokens/s. HOT 2
- libze_loader.so.1: cannot open shared object file: No such file or directory HOT 1
- RuntimeError: could not create a primitive HOT 3
- run GLM4-9b-chat on MTL iGPU get error: pyo3_runtime.PanicException: index out of bounds: HOT 2
- Could you help to enable GLM-4v-9b? HOT 2
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