Files
sglang/test/srt/test_quant_config_parsing.py
Praneth Paruchuri f7897def96 [Feature] Improve weight loading log (#18651)
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
2026-03-03 14:16:13 -08:00

80 lines
2.9 KiB
Python

import unittest
from unittest.mock import MagicMock
from sglang.srt.configs.model_config import ModelConfig
class MockHfConfig:
def __init__(self, quant_config=None):
self.quantization_config = quant_config
self.architectures = ["LlamaForCausalLM"]
self.model_type = "llama"
class TestQuantLogString(unittest.TestCase):
def test_qwen_fp8_config(self):
# Example from Qwen/Qwen3-4B-Thinking-2507-FP8
quant_config = {
"activation_scheme": "dynamic",
"modules_to_not_convert": ["lm_head"],
"fmt": "e4m3",
"quant_method": "fp8",
"weight_block_size": [128, 128],
}
# Create a raw instance
model_config = ModelConfig.__new__(ModelConfig)
model_config._parse_quant_hf_config = MagicMock(return_value=quant_config)
expected = "quant=fp8, fmt=e4m3"
result = model_config.get_quantization_config_log_str()
print(f"\n[Test Qwen FP8] Result: {result}")
self.assertEqual(result, expected)
def test_llama_gptq_int4_config(self):
# Example from hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4
quant_config = {"bits": 4, "quant_method": "gptq", "group_size": 128}
model_config = ModelConfig.__new__(ModelConfig)
model_config._parse_quant_hf_config = MagicMock(return_value=quant_config)
expected = "quant=gptq, bits=4"
result = model_config.get_quantization_config_log_str()
print(f"\n[Test Llama GPTQ] Result: {result}")
self.assertEqual(result, expected)
def test_awq_config(self):
quant_config = {
"quant_method": "awq",
"bits": 4,
"group_size": 128,
}
model_config = ModelConfig.__new__(ModelConfig)
model_config._parse_quant_hf_config = MagicMock(return_value=quant_config)
expected = "quant=awq, bits=4"
result = model_config.get_quantization_config_log_str()
print(f"\n[Test AWQ] Result: {result}")
self.assertEqual(result, expected)
def test_modelopt_nvfp4(self):
quant_config = {"quant_method": "modelopt_fp4", "quant_algo": "NVFP4"}
model_config = ModelConfig.__new__(ModelConfig)
model_config._parse_quant_hf_config = MagicMock(return_value=quant_config)
expected = "quant=modelopt_fp4, quant_algo=NVFP4"
result = model_config.get_quantization_config_log_str()
print(f"\n[Test ModelOpt] Result: {result}")
self.assertEqual(result, expected)
def test_no_quant_config(self):
model_config = ModelConfig.__new__(ModelConfig)
model_config._parse_quant_hf_config = MagicMock(return_value=None)
result = model_config.get_quantization_config_log_str()
print(f"\n[Test No Quant] Result: {result}")
self.assertIsNone(result)
if __name__ == "__main__":
unittest.main()