From 65a49dda0ed2cc84d0dea2fab4ae1ee289631560 Mon Sep 17 00:00:00 2001
From: Goekdeniz-Guelmez <Gulmezdeniz1999@gmail.com>
Date: Thu, 13 Feb 2025 21:46:30 +0100
Subject: [PATCH] nits

---
 llms/mlx_lm/tuner/datasets.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/llms/mlx_lm/tuner/datasets.py b/llms/mlx_lm/tuner/datasets.py
index 01ffd81b..df5c4588 100644
--- a/llms/mlx_lm/tuner/datasets.py
+++ b/llms/mlx_lm/tuner/datasets.py
@@ -34,6 +34,7 @@ class GRPODataset:
                 The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think><answer> answer here </answer>."""},
                     {'role': 'user', 'content': prompt_str}
                     ],
+                    add_generation_prompt=True
                 )
                 answer_tokens = tokenizer.encode(answer_str)
             else:
@@ -307,10 +308,10 @@ def load_dataset(args, tokenizer: PreTrainedTokenizer):
     else:
         data_path = Path(args.data)
         if data_path.exists():
-            train, valid, test = load_local_dataset(args, data_path, tokenizer, args)
+            train, valid, test = load_local_dataset(args, data_path, tokenizer, args.config)
         else:
             print(f"Loading Hugging Face dataset {args.data}.")
-            train, valid, test = load_hf_dataset(args, args.data, tokenizer, args)
+            train, valid, test = load_hf_dataset(args, args.data, tokenizer, args.config)
 
     if args.train and len(train) == 0:
         raise ValueError(