Quantization / HQQ: Fix HQQ tests on our runner (#30668)

Update test_hqq.py

tests/quantization/hqq/test_hqq.py

@@ -35,7 +35,7 @@ if is_hqq_available():
 
 
 class HQQLLMRunner:
-    def __init__(self, model_id, quant_config, compute_dtype, device, cache_dir):
+    def __init__(self, model_id, quant_config, compute_dtype, device, cache_dir=None):
         self.model = AutoModelForCausalLM.from_pretrained(
             model_id,
             torch_dtype=compute_dtype,
@@ -118,7 +118,7 @@ class HQQTest(unittest.TestCase):
         check_hqqlayer(self, hqq_runner.model.model.layers[0].self_attn.v_proj)
         check_forward(self, hqq_runner.model)
 
-    def test_bfp16_quantized_model_with_offloading(self):
+    def test_f16_quantized_model_with_offloading(self):
         """
         Simple LLM model testing bfp16 with meta-data offloading
         """
@@ -137,7 +137,7 @@ class HQQTest(unittest.TestCase):
         )
 
         hqq_runner = HQQLLMRunner(
-            model_id=MODEL_ID, quant_config=quant_config, compute_dtype=torch.bfloat16, device=torch_device
+            model_id=MODEL_ID, quant_config=quant_config, compute_dtype=torch.float16, device=torch_device
         )
 
         check_hqqlayer(self, hqq_runner.model.model.layers[0].self_attn.v_proj)