Comments (1)
Hi, you are loading a llama2-7b-AWQ model and you want to save it to ipex-llm format? I suppose AWQ is already quantized format and you can just load it and don't need to save again?
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Related Issues (20)
- Cannot run vllm on intel CPU HOT 1
- vllm package is missing in intelanalytics/ipex-llm-serving-xpu:2.1.0 HOT 2
- support inference AWQ INT4 model of Yi-34B from QLoRA HOT 1
- [All-in-one benchmark] [GPT2-large] The size of tensor a (1024) must match the size of tensor b (1025) at non-singleton dimension 3 HOT 1
- Running vLLM service benchmark(4xARC770) with Qwen1.5-32B-Chat model failed HOT 1
- how to use ipex-llm to run both the original and quantized versions of the Baichuan2 model on an Intel GPU HOT 1
- vllm support GLM-4V-9B model HOT 1
- Extensions to ipex-llm
- MiniCPM-v 2.6 and llama-cpp can not work and accelerated on A770 dGPU? HOT 2
- IPEX-LLM GPU - GraphRAG: No module named "past" && ApiKeyMissingError && No text files found in input HOT 2
- NPU Acceleration Library model loaing HOT 2
- On A770,vllm and llama.cpp which brings better performance for MiniCPM-v-2.6 ? HOT 3
- intelanalytics/ipex-llm-inference-cpp-xpu:2.2.0 docker image causes memory issue with intel arc a380 HOT 6
- llama3-8b gets OOM on MTL iGPU WSL docker vllm HOT 2
- Qwen2 in benchmark all-in-one fails (NotImplementedError: Cannot copy out of meta tensor; no data!) HOT 4
- Models failed while running harness test (winogrande dataset) with latest IPEX-LLM nightly build HOT 3
- Inference speed and memory usage of Qwen1.5-14b HOT 3
- Running Qwen2-7B gets error on LNL NPU after appeding history HOT 1
- Could you please help to optimize miniCPM3-4B? HOT 1
- Ollama Error on MTL-iGPU HOT 1
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