mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-02-09 12:41:52 +08:00
aaacc9bd68
* Update TensorRT-LLM --------- Co-authored-by: Starrick Liu <73152103+StarrickLiu@users.noreply.github.com>
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
from tensorrt_llm.llmapi.llm import LLM, SamplingParams
|
|
from tensorrt_llm.llmapi.llm_utils import CalibConfig, QuantAlgo, QuantConfig
|
|
|
|
# isort: off
|
|
from test_llm import cnn_dailymail_path, llama_model_path
|
|
from utils.util import skip_pre_ampere, skip_pre_hopper
|
|
# isort: on
|
|
|
|
|
|
@skip_pre_ampere
|
|
def test_llm_int4_awq_quantization():
|
|
quant_config = QuantConfig(quant_algo=QuantAlgo.W4A16_AWQ)
|
|
assert quant_config.quant_mode.has_any_quant()
|
|
calib_config = CalibConfig(calib_dataset=cnn_dailymail_path)
|
|
|
|
llm = LLM(llama_model_path,
|
|
quant_config=quant_config,
|
|
calib_config=calib_config)
|
|
|
|
sampling_params = SamplingParams(max_tokens=6)
|
|
for output in llm.generate(["A B C"], sampling_params=sampling_params):
|
|
print(output)
|
|
assert output.outputs[0].text == "D E F G H I"
|
|
|
|
|
|
@skip_pre_hopper
|
|
def test_llm_fp8_quantization():
|
|
quant_config = QuantConfig(quant_algo=QuantAlgo.FP8,
|
|
kv_cache_quant_algo=QuantAlgo.FP8)
|
|
assert quant_config.quant_mode.has_any_quant()
|
|
calib_config = CalibConfig(calib_dataset=cnn_dailymail_path)
|
|
|
|
llm = LLM(llama_model_path,
|
|
quant_config=quant_config,
|
|
calib_config=calib_config)
|
|
sampling_params = SamplingParams(max_tokens=6)
|
|
for output in llm.generate(["A B C"], sampling_params=sampling_params):
|
|
print(output)
|
|
assert output.outputs[0].text == "D E F G H I"
|
|
|
|
|
|
if __name__ == "__main__":
|
|
test_llm_int4_awq_quantization()
|
|
test_llm_fp8_quantization()
|