NPU Baichuan2 Multi- Process example #11928
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plusbang
reviewed
Aug 27, 2024
| parser.add_argument( | ||
| "--repo-id-or-model-path", | ||
| type=str, | ||
| default="meta-llama/Llama-2-7b-chat-hf", |
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Please modify to baichuan
| help='Prompt to infer') | ||
| parser.add_argument("--n-predict", type=int, default=32, help="Max tokens to predict") | ||
| parser.add_argument("--max-output-len", type=int, default=1024) | ||
| parser.add_argument("--max-prompt-len", type=int, default=768) |
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max-prompt-len is better to be 512 by default.
| trust_remote_code=True, | ||
| attn_implementation="eager", | ||
| load_in_low_bit="sym_int4", | ||
| enable_mp=True, |
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We have just updated API, please change enable_mp to optimize_model
| @@ -108,3 +108,25 @@ def optimize_llm( | |||
| prefill_runner=prefill_runner, decode_runner=decode_runner | |||
| ) | |||
| convert_forward(model, module.MiniCPMModel, minicpm_model_forward) | |||
| elif model.config.model_type == "baichuan": | |||
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maybe we need to strict the check to avoid apply optimization on baichuan-13b.
|
Merge it first as initial support and will open another PR to fix. |
plusbang
approved these changes
Aug 27, 2024
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NPU Baichuan2 Multi- Process example.
How to test?
1234). And paste your action link here once it has been successfully finished.