hoshi-hiyouga
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c2022431aa
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[misc] update license year & fix llama pro (#6814)
* fix llamapro script
* change year
Former-commit-id: d9ae594178796994d400a5f207d6499712816f89
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2025-02-05 01:53:33 +08:00 |
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hiyouga
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bb88536166
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add license
Former-commit-id: 69cfc98d7c81756a5ab6bf962240e393e449fef0
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2024-06-15 17:54:33 +08:00 |
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hiyouga
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dfa686b617
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rename package
Former-commit-id: a07ff0c083558cfe6f474d13027642d3052fee08
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2024-05-16 18:39:08 +08:00 |
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hiyouga
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ba0da83031
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add npu examples
Former-commit-id: 0f21e68e2dbd84c820d66d5c6d980004efc51d51
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2024-05-14 23:32:53 +08:00 |
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hoshi-hiyouga
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7a1d13aae2
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Update train.py
Former-commit-id: da1e6f0d9c2eff64f92da1f6ada3aa44ef6d6a7e
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2024-05-14 20:47:52 +08:00 |
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hoshi-hiyouga
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86a048128b
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Apply suggestions from code review
Co-authored-by: Huazhong Ji <hzji210@gmail.com>
Former-commit-id: abef48c17ee795eae984fcc89019c2c4859108c1
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2024-05-14 20:44:21 +08:00 |
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hoshi-hiyouga
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fe1a3b1367
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Apply suggestions from code review
Co-authored-by: Huazhong Ji <hzji210@gmail.com>
Former-commit-id: a435e5a0bdd7268c4f1204f99f289ee0b36fd930
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2024-05-14 20:44:04 +08:00 |
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zhouwei
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3d1b0e1864
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The training efficiency of the Ascend 910A has been significantly enhanced, leveraging the full computational power of the NPU (Neural Processing Unit) and the capabilities of torch_npu, a PyTorch library optimized for NPUs. This improvement has resulted in a remarkable tenfold increase in efficiency.
Former-commit-id: 90980b626d3408b3e2ee32a02456c20881318be7
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2024-05-06 13:29:59 +08:00 |
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hiyouga
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ce8200ad98
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update webui and add CLIs
Former-commit-id: 1368dda22ab875914c9dd86ee5146a4f6a4736ad
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2024-05-03 02:58:23 +08:00 |
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