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minor: add quant eval compared with base (#1475)

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This commit is contained in:
Yineng Zhang
2024-09-20 01:57:19 +08:00
committed by GitHub
parent b4408b0d16
commit a6db88626e
2 changed files with 7 additions and 0 deletions
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1
python/sglang/test/test_utils.py
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@@ -30,6 +30,7 @@ DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP1 = "meta-llama/Meta-Llama-3.1-8B-Instruct
DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP2 = "meta-llama/Meta-Llama-3.1-70B-Instruct,mistralai/Mixtral-8x7B-Instruct-v0.1,Qwen/Qwen2-57B-A14B-Instruct" DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP2 = "meta-llama/Meta-Llama-3.1-70B-Instruct,mistralai/Mixtral-8x7B-Instruct-v0.1,Qwen/Qwen2-57B-A14B-Instruct"
DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP1 = "neuralmagic/Meta-Llama-3.1-8B-Instruct-FP8,neuralmagic/Mistral-7B-Instruct-v0.3-FP8,neuralmagic/DeepSeek-Coder-V2-Lite-Instruct-FP8,neuralmagic/gemma-2-2b-it-FP8" DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP1 = "neuralmagic/Meta-Llama-3.1-8B-Instruct-FP8,neuralmagic/Mistral-7B-Instruct-v0.3-FP8,neuralmagic/DeepSeek-Coder-V2-Lite-Instruct-FP8,neuralmagic/gemma-2-2b-it-FP8"
DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP2 = "neuralmagic/Meta-Llama-3.1-70B-Instruct-FP8,neuralmagic/Mixtral-8x7B-Instruct-v0.1-FP8,neuralmagic/Qwen2-72B-Instruct-FP8,neuralmagic/Qwen2-57B-A14B-Instruct-FP8" DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP2 = "neuralmagic/Meta-Llama-3.1-70B-Instruct-FP8,neuralmagic/Mixtral-8x7B-Instruct-v0.1-FP8,neuralmagic/Qwen2-72B-Instruct-FP8,neuralmagic/Qwen2-57B-A14B-Instruct-FP8"
DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_QUANT_TP1 = "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4,hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4"
def is_in_ci(): def is_in_ci():

6
test/srt/test_nightly_gsm8k_eval.py
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@@ -6,6 +6,7 @@ from sglang.test.run_eval import run_eval
from sglang.test.test_utils import ( from sglang.test.test_utils import (
DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP1, DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP1,
DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP2, DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP2,
DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_QUANT_TP1,
DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP1, DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP1,
DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP2, DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP2,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH, DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
@@ -26,6 +27,7 @@ class TestEvalAccuracyLarge(unittest.TestCase):
(parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP2), False, True), (parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_TP2), False, True),
(parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP1), True, False), (parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP1), True, False),
(parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP2), True, True), (parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_FP8_TP2), True, True),
(parse_models(DEFAULT_MODEL_NAME_FOR_NIGHTLY_EVAL_QUANT_TP1), False, False),
] ]
cls.base_url = DEFAULT_URL_FOR_TEST cls.base_url = DEFAULT_URL_FOR_TEST
@@ -53,6 +55,10 @@ class TestEvalAccuracyLarge(unittest.TestCase):
other_args.extend(["--tp", "2"]) other_args.extend(["--tp", "2"])
if "DeepSeek" in model: if "DeepSeek" in model:
other_args.extend(["--mem-frac", "0.85"]) other_args.extend(["--mem-frac", "0.85"])
if "AWQ" in model:
other_args.extend(["--quantization", "awq"])
elif "GPTQ" in model:
other_args.extend(["--quantization", "gptq"])
self.process = popen_launch_server( self.process = popen_launch_server(
model, model,