diff --git a/unsloth/models/loader.py b/unsloth/models/loader.py
index 72a6d7d10f..9a13b6fd4c 100644
--- a/unsloth/models/loader.py
+++ b/unsloth/models/loader.py
@@ -1200,8 +1200,9 @@ class FastModel(FastBaseModel):
             redirector = contextlib.redirect_stdout(open(os.devnull, "w"))
 
         model_types = ["siglip"] + model_types
-        # Set forced float32 env flag
-        os.environ["UNSLOTH_FORCE_FLOAT32"] = "0"
+        # Preserve explicit user override if set prior to model loading.
+        user_forced_float32 = os.environ.get("UNSLOTH_FORCE_FLOAT32", "0") == "1"
+        os.environ["UNSLOTH_FORCE_FLOAT32"] = "1" if user_forced_float32 else "0"
         do_forced_float32 = False
         for model_type_arch in model_types:
             if model_type_arch != "siglip":
diff --git a/unsloth/models/rl.py b/unsloth/models/rl.py
index fbb32b2c50..26c406832a 100755
--- a/unsloth/models/rl.py
+++ b/unsloth/models/rl.py
@@ -715,19 +715,22 @@ def _patch_trl_rl_trainers(trainer_file = "grpo_trainer"):
             "if type(use_bf16) is not bool: use_bf16 = False\n"
             "use_fp16 = getattr(args, 'fp16', False)\n"
             "if type(use_fp16) is not bool: use_fp16 = False\n"
-            "force_float32 = False\n"
-            "full_finetuning = os.environ.get('UNSLOTH_ENABLE_FULL_FINETUNING', '0') == '1'\n"
-            "if not full_finetuning and (os.environ.get('UNSLOTH_FORCE_FLOAT32', '0') == '1'):\n"
+            "force_float32 = os.environ.get('UNSLOTH_FORCE_FLOAT32', '0') == '1'\n"
+            "if force_float32:\n"
             "    print('Unsloth: Switching to float32 training since model cannot work with float16')\n"
-            "    force_float32 = True\n"
             "mixed_precision_dtype = os.environ.get('UNSLOTH_MIXED_PRECISION', 'float32')\n"
             "dtype = getattr(model.config, 'dtype', None) or getattr(model.config, 'torch_dtype', None)\n"
             "if dtype is None: dtype = model.get_input_embeddings().weight.dtype\n"
             "from unsloth_zoo.utils import _get_dtype\n"
             "dtype = _get_dtype(dtype)\n"
-            "float16 = dtype == torch.float16\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 (not float16 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"
+            "is_float16 = dtype == torch.float16\n"
+            "is_bfloat16 = dtype == torch.bfloat16\n"
+            "is_float32 = dtype == torch.float32\n"
+            "if not force_float32 and (is_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 (is_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 not force_float32 and (is_float32 and use_fp16):\n"
+            "    print('Unsloth: Model is float32 but fp16 was requested. Switching to float32 training.')\n"
+            "    force_float32 = True\n"
             "if force_float32:\n"
             "    # Forced float32 training\n"
             "    args.fp16 = False\n"
@@ -737,10 +740,22 @@ def _patch_trl_rl_trainers(trainer_file = "grpo_trainer"):
             "    # args.mixed_precision is a new argument which needs to be set now\n"
             "elif (not use_bf16 and not use_fp16) and mixed_precision_dtype == 'float32':\n"
             "    # Mixed precision training\n"
-            "    args.fp16 = float16\n"
-            "    args.bf16 = not float16\n"
-            "    os.environ['ACCELERATE_MIXED_PRECISION'] = 'fp16' if float16 else 'bf16'\n"
-            "    if hasattr(args, 'mixed_precision'): args.mixed_precision = 'fp16' if float16 else 'bf16'\n"
+            "    if is_float16:\n"
+            "        args.fp16 = True\n"
+            "        args.bf16 = False\n"
+            "        os.environ['ACCELERATE_MIXED_PRECISION'] = 'fp16'\n"
+            "        if hasattr(args, 'mixed_precision'): args.mixed_precision = 'fp16'\n"
+            "    elif is_bfloat16:\n"
+            "        args.fp16 = False\n"
+            "        args.bf16 = True\n"
+            "        os.environ['ACCELERATE_MIXED_PRECISION'] = 'bf16'\n"
+            "        if hasattr(args, 'mixed_precision'): args.mixed_precision = 'bf16'\n"
+            "    else:\n"
+            "        # Float32 params should not force bf16/fp16 mixed precision.\n"
+            "        args.fp16 = False\n"
+            "        args.bf16 = False\n"
+            "        os.environ['ACCELERATE_MIXED_PRECISION'] = 'no'\n"
+            "        if hasattr(args, 'mixed_precision'): args.mixed_precision = 'no'\n"
             "    # args.mixed_precision is a new argument which needs to be set now\n"
             "elif mixed_precision_dtype == 'bfloat16':\n"
             "    # Both False since bfloat16 full finetuning doesn't do any autocasting.\n"