osx training

src/autotrain/trainers/clm/__main__.py

@@ -114,22 +114,23 @@ def train(config):
                 bnb_4bit_compute_dtype=torch.float16,
                 bnb_4bit_use_double_quant=False,
             )
+            config.fp16 = True
         elif config.use_int8:
             bnb_config = BitsAndBytesConfig(load_in_8bit=config.use_int8)
+            config.fp16 = True
         else:
-            bnb_config = BitsAndBytesConfig()
+            bnb_config = None
 
         model = AutoModelForCausalLM.from_pretrained(
             config.model,
             config=model_config,
             token=config.token,
             quantization_config=bnb_config,
-            torch_dtype=torch.float16,
+            torch_dtype=torch.float16 if config.fp16 else torch.float32,
             device_map={"": Accelerator().process_index} if torch.cuda.is_available() else None,
             trust_remote_code=True,
             use_flash_attention_2=config.use_flash_attention_2,
         )
-
     else:
         model = AutoModelForCausalLM.from_pretrained(
             config.model,