This release is a pre-release and may not be stable for production use.
IPEX-LLM is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low latency
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1 maintainer
Release files for ipex-llm 2.3.0b20250828
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Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ipex_llm-2.3.0b20250828-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| ipex_llm-2.3.0b20250828-py3-none-manylinux2010_x86_64.whl | Python 3 | none | Linux glibc 2.12+ x86-64 | Details |
Total release size: 14.4 MB
Release files / ipex_llm-2.3.0b20250828-py3-none-win_amd64.whl
| Download URL | ipex_llm-2.3.0b20250828-py3-none-win_amd64.whl |
|---|---|
| Size | 4.6 MB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.7.15
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Release files / ipex_llm-2.3.0b20250828-py3-none-manylinux2010_x86_64.whl
| Download URL | ipex_llm-2.3.0b20250828-py3-none-manylinux2010_x86_64.whl |
|---|---|
| Size | 9.8 MB |
| Tags | Linux glibc 2.12+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.15
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