Fix: skip fp16/bf16 validation for full finetuning in RL trainers (#6813)

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Co-authored-by: Ayushman Paul <ayushman@HP>

Author: InfoSage05

unsloth/models/rl.py

@@ -1015,6 +1015,9 @@ def _patch_trl_rl_trainers_impl(trainer_file = "grpo_trainer"):
             "dtype = _get_dtype(dtype)\n"
             "float16 = dtype == torch.float16\n"
             "bfloat16 = dtype == torch.bfloat16\n"
+            "if full_finetuning:\n"
+            "    if bfloat16 and use_fp16: use_fp16 = False\n"
+            "    if float16 and use_bf16: use_bf16 = False\n"
             "if not force_float32 and (float16 and use_bf16): raise TypeError('Unsloth: Model is in float16 precision but you want to use bfloat16 precision. Set fp16 to `True` and bf16 to `False`')\n"
             "if not force_float32 and (bfloat16 and use_fp16): raise TypeError('Unsloth: Model is in bfloat16 precision but you want to use float16 precision. Set fp16 to `False` and bf16 to `True`')\n"
             "if force_float32:\n"