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9bd15f1937
* TensorRT-LLM Release 0.10.0 --------- Co-authored-by: Loki <lokravi@amazon.com> Co-authored-by: meghagarwal <16129366+megha95@users.noreply.github.com>
51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
import os
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import sys
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from tensorrt_llm.hlapi.llm import LLM, ModelConfig
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from tensorrt_llm.quantization import QuantAlgo
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sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
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from utils.util import skip_pre_ampere, skip_pre_hopper
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try:
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from .test_llm import llama_model_path
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except ImportError:
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from test_llm import llama_model_path
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@skip_pre_ampere
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def test_llm_int4_awq_quantization():
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config = ModelConfig(llama_model_path)
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config.quant_config.quant_algo = QuantAlgo.W4A16_AWQ
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assert config.quant_config.quant_mode.has_any_quant()
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llm = LLM(config)
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sampling_config = llm.get_default_sampling_config()
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sampling_config.max_new_tokens = 6
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for output in llm.generate(["A B C"], sampling_config=sampling_config):
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print(output)
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assert output.text == "D E F G H I"
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@skip_pre_hopper
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def test_llm_fp8_quantization():
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config = ModelConfig(llama_model_path)
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config.quant_config.quant_algo = QuantAlgo.FP8
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config.quant_config.kv_cache_quant_algo = QuantAlgo.FP8
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config.quant_config.exclude_modules = ["lm_head"]
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assert config.quant_config.quant_mode.has_any_quant()
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llm = LLM(config)
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sampling_config = llm.get_default_sampling_config()
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sampling_config.max_new_tokens = 6
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for output in llm.generate(["A B C"], sampling_config=sampling_config):
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print(output)
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assert output.text == "D E F G H I"
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if __name__ == "__main__":
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test_llm_int4_awq_quantization()
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test_llm_fp8_quantization()
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