diff --git a/unsloth/models/_utils.py b/unsloth/models/_utils.py
index 451f60091f..e7cc5ff1ef 100644
--- a/unsloth/models/_utils.py
+++ b/unsloth/models/_utils.py
@@ -74,6 +74,7 @@ __all__ = [
     "dequantize_module_weight",
     "patch_hf_quantizer",
     "verify_fp8_support_if_applicable",
+    "_redirect_fp8_to_bf16",
     "_get_inference_mode_context_manager",
     "hf_login",
     "is_moe_model",
@@ -2570,6 +2571,59 @@ def patch_hf_quantizer():
 patch_hf_quantizer()
 
 
+def _redirect_fp8_to_bf16(
+    model_name, auto_config, load_in_fp8, token, trust_remote_code
+):
+    """
+    Detect FP8 quantization in model config and redirect to BF16 sibling.
+
+    Models shipping FP8 as default (e.g. mistralai/Ministral-3-*B-Instruct)
+    cannot be loaded with BNB 4-bit/8-bit or 16-bit mode. This detects
+    quant_method in ("fp8", "fbgemm_fp8") and redirects to {model_name}-BF16.
+
+    Redirect is SKIPPED when load_in_fp8 is truthy (True or 'block'),
+    meaning the user explicitly wants FP8 loading.
+
+    Returns (model_name, auto_config) -- possibly updated.
+    """
+    if not hasattr(auto_config, "quantization_config"):
+        return model_name, auto_config
+
+    _qc = auto_config.quantization_config
+    _qm = (
+        _qc.get("quant_method", "")
+        if isinstance(_qc, dict)
+        else getattr(_qc, "quant_method", "")
+    )
+    if _qm not in ("fp8", "fbgemm_fp8") or load_in_fp8:
+        return model_name, auto_config
+
+    _bf16_name = model_name.rstrip("/") + "-BF16"
+    _original_name = model_name
+    try:
+        from huggingface_hub import model_info as _hf_model_info
+        from transformers import AutoConfig
+
+        _hf_model_info(_bf16_name, token = token)
+        _bf16_config = AutoConfig.from_pretrained(
+            _bf16_name,
+            token = token,
+            trust_remote_code = trust_remote_code,
+        )
+        print(
+            f"Unsloth: {_original_name} uses FP8 weights. "
+            f"Redirecting to {_bf16_name}."
+        )
+        return _bf16_name, _bf16_config
+    except Exception:
+        raise RuntimeError(
+            f"Unsloth: {_original_name} uses FP8 weights but no BF16 version "
+            f"was found at {_bf16_name}.\n"
+            f"Loading FP8 weights with BitsAndBytes or in 16-bit will fail.\n"
+            f"Set load_in_fp8=True to use FP8 mode, or upload a BF16 version."
+        )
+
+
 def verify_fp8_support_if_applicable(model_config):
     quant_method = get_quant_type(model_config)
     if quant_method in ["fbgemm_fp8", "fp8"] and DEVICE_TYPE != "cuda":
diff --git a/unsloth/models/llama.py b/unsloth/models/llama.py
index a3fc9ab49a..342366f02e 100644
--- a/unsloth/models/llama.py
+++ b/unsloth/models/llama.py
@@ -25,6 +25,7 @@ from ._utils import move_to_device
 from ._utils import (
     _get_inference_mode_context_manager,
     _prepare_model_for_qat,
+    _redirect_fp8_to_bf16,
 )
 from .loader_utils import _get_fp8_mode_and_check_settings
 from ..utils.packing import (
@@ -2228,6 +2229,15 @@ class FastLlamaModel:
             token = token,
             attn_implementation = "sdpa",
         )
+        # Handle FP8 models: redirect to BF16 sibling when the model ships with
+        # FP8 weights. Redirect is skipped when load_in_fp8 is truthy (True or 'block').
+        model_name, model_config = _redirect_fp8_to_bf16(
+            model_name,
+            model_config,
+            load_in_fp8,
+            token,
+            trust_remote_code,
+        )
         model_config.model_name = model_name
         model_max_seq_length = model_config.max_position_embeddings
 
diff --git a/unsloth/models/mapper.py b/unsloth/models/mapper.py
index e7296291f1..ec7a7a8046 100644
--- a/unsloth/models/mapper.py
+++ b/unsloth/models/mapper.py
@@ -965,11 +965,18 @@ __INT_TO_FLOAT_MAPPER = \
         "mistralai/Magistral-Small-2506",
         "unsloth/Magistral-Small-2506-bnb-4bit",
     ),
-    "unsloth/Mistral-Small-3.2-24B-Instruct-2506-unsloth-bnb-4bit" : (
-        "unsloth/Mistral-Small-3.2-24B-Instruct-2506",
-        "mistralai/Mistral-Small-3.2-24B-Instruct-2506",
-        "unsloth/Mistral-Small-3.2-24B-Instruct-2506-bnb-4bit",
-    ),
+    "unsloth/Mistral-Small-3.2-24B-Instruct-2506-unsloth-bnb-4bit" : {
+        "8" : (
+            "mistralai/Mistral-Small-3.2-24B-Instruct-2506",
+            "unsloth/Mistral-Small-3.2-24B-Instruct-2506-FP8",
+            "unsloth/Mistral-Small-3.2-24B-Instruct-2506-FP8",
+        ),
+        "16" : (
+            "unsloth/Mistral-Small-3.2-24B-Instruct-2506",
+            "mistralai/Mistral-Small-3.2-24B-Instruct-2506",
+            "unsloth/Mistral-Small-3.2-24B-Instruct-2506-bnb-4bit",
+        ),
+    },
     "unsloth/gemma-3n-E4B-it-unsloth-bnb-4bit" : (
         "unsloth/gemma-3n-E4B-it",
         "google/gemma-3n-E4B-it",
@@ -1056,11 +1063,18 @@ __INT_TO_FLOAT_MAPPER = \
         "mistralai/Magistral-Small-2507",
         "unsloth/Magistral-Small-2507-bnb-4bit",
     ),
-    "unsloth/Magistral-Small-2509-unsloth-bnb-4bit" : (
-        "unsloth/Magistral-Small-2509",
-        "mistralai/Magistral-Small-2509",
-        "unsloth/Magistral-Small-2509-bnb-4bit",
-    ),
+    "unsloth/Magistral-Small-2509-unsloth-bnb-4bit" : {
+        "8" : (
+            "mistralai/Magistral-Small-2509",
+            "unsloth/Magistral-Small-2509-FP8-Dynamic",
+            "unsloth/Magistral-Small-2509-FP8-Dynamic",
+        ),
+        "16" : (
+            "unsloth/Magistral-Small-2509",
+            "mistralai/Magistral-Small-2509",
+            "unsloth/Magistral-Small-2509-bnb-4bit",
+        ),
+    },
     "unsloth/Apertus-70B-Instruct-2509-unsloth-bnb-4bit" : (
         "unsloth/Apertus-70B-Instruct-2509",
         "swiss-ai/Apertus-70B-2509",
@@ -1256,6 +1270,73 @@ __INT_TO_FLOAT_MAPPER = \
         "google/functiongemma-270m-it",
         "unsloth/functiongemma-270m-it-unsloth-bnb-4bit",
     ),
+    # Ministral 3 models
+    "unsloth/Ministral-3-3B-Instruct-2512-unsloth-bnb-4bit" : {
+        "8" : (
+            "mistralai/Ministral-3-3B-Instruct-2512",
+            "unsloth/Ministral-3-3B-Instruct-2512-FP8",
+            "unsloth/Ministral-3-3B-Instruct-2512-FP8",
+        ),
+        "16" : (
+            "unsloth/Ministral-3-3B-Instruct-2512",
+            "mistralai/Ministral-3-3B-Instruct-2512",
+            "unsloth/Ministral-3-3B-Instruct-2512-bnb-4bit",
+        ),
+    },
+    "unsloth/Ministral-3-3B-Base-2512-unsloth-bnb-4bit" : (
+        "unsloth/Ministral-3-3B-Base-2512",
+        "mistralai/Ministral-3-3B-Base-2512",
+        "unsloth/Ministral-3-3B-Base-2512-bnb-4bit",
+    ),
+    "unsloth/Ministral-3-3B-Reasoning-2512-unsloth-bnb-4bit" : (
+        "unsloth/Ministral-3-3B-Reasoning-2512",
+        "mistralai/Ministral-3-3B-Reasoning-2512",
+        "unsloth/Ministral-3-3B-Reasoning-2512-bnb-4bit",
+    ),
+    "unsloth/Ministral-3-8B-Instruct-2512-unsloth-bnb-4bit" : {
+        "8" : (
+            "mistralai/Ministral-3-8B-Instruct-2512",
+            "unsloth/Ministral-3-8B-Instruct-2512-FP8",
+            "unsloth/Ministral-3-8B-Instruct-2512-FP8",
+        ),
+        "16" : (
+            "unsloth/Ministral-3-8B-Instruct-2512",
+            "mistralai/Ministral-3-8B-Instruct-2512",
+            "unsloth/Ministral-3-8B-Instruct-2512-bnb-4bit",
+        ),
+    },
+    "unsloth/Ministral-3-8B-Base-2512-unsloth-bnb-4bit" : (
+        "unsloth/Ministral-3-8B-Base-2512",
+        "mistralai/Ministral-3-8B-Base-2512",
+        "unsloth/Ministral-3-8B-Base-2512-bnb-4bit",
+    ),
+    "unsloth/Ministral-3-8B-Reasoning-2512-unsloth-bnb-4bit" : (
+        "unsloth/Ministral-3-8B-Reasoning-2512",
+        "mistralai/Ministral-3-8B-Reasoning-2512",
+        "unsloth/Ministral-3-8B-Reasoning-2512-bnb-4bit",
+    ),
+    "unsloth/Ministral-3-14B-Instruct-2512-unsloth-bnb-4bit" : {
+        "8" : (
+            "mistralai/Ministral-3-14B-Instruct-2512",
+            "unsloth/Ministral-3-14B-Instruct-2512-FP8",
+            "unsloth/Ministral-3-14B-Instruct-2512-FP8",
+        ),
+        "16" : (
+            "unsloth/Ministral-3-14B-Instruct-2512",
+            "mistralai/Ministral-3-14B-Instruct-2512",
+            "unsloth/Ministral-3-14B-Instruct-2512-bnb-4bit",
+        ),
+    },
+    "unsloth/Ministral-3-14B-Base-2512-unsloth-bnb-4bit" : (
+        "unsloth/Ministral-3-14B-Base-2512",
+        "mistralai/Ministral-3-14B-Base-2512",
+        "unsloth/Ministral-3-14B-Base-2512-bnb-4bit",
+    ),
+    "unsloth/Ministral-3-14B-Reasoning-2512-unsloth-bnb-4bit" : (
+        "unsloth/Ministral-3-14B-Reasoning-2512",
+        "mistralai/Ministral-3-14B-Reasoning-2512",
+        "unsloth/Ministral-3-14B-Reasoning-2512-bnb-4bit",
+    ),
 }
 
 INT_TO_FLOAT_MAPPER  = {}
diff --git a/unsloth/models/vision.py b/unsloth/models/vision.py
index 2d6c7ac93f..56cd615a49 100644
--- a/unsloth/models/vision.py
+++ b/unsloth/models/vision.py
@@ -30,6 +30,7 @@ from ..kernels import (
     post_patch_loss_function,
 )
 from ._utils import __version__, importlib_version, _prepare_model_for_qat
+from ._utils import _redirect_fp8_to_bf16
 from ._utils import *
 from .loader_utils import _get_fp8_mode_and_check_settings
 from ..save import patch_saving_functions
@@ -611,6 +612,24 @@ class FastBaseModel:
             model_class = None
         flex_attn_impl = prefer_flex_attn_if_supported(model_class, auto_config)
 
+        # Handle FP8 models: redirect to BF16 sibling when the model ships with
+        # FP8 weights (e.g. Ministral-3-3B-Instruct-2512). FP8 weights cannot be
+        # directly loaded by BNB, and the FP8 quantization config can cause issues
+        # even for 16-bit loading.
+        # Redirect is skipped when load_in_fp8 is truthy (True or 'block').
+        model_name, auto_config = _redirect_fp8_to_bf16(
+            model_name,
+            auto_config,
+            load_in_fp8,
+            token,
+            trust_remote_code,
+        )
+        # Re-resolve model_class after potential config change
+        try:
+            model_class = auto_model._model_mapping[auto_config.__class__]
+        except KeyError:
+            pass
+
         default_attn_impl = "flex_attention" if flex_attn_impl else "sdpa"
         if not ("attn_implementation" in kwargs):
             kwargs["attn_implementation"] = default_attn_impl
@@ -759,6 +778,7 @@ class FastBaseModel:
         if hasattr(auto_config, "attn_implementation"):
             setattr(auto_config, "attn_implementation", config_attn_impl)
         model_config = auto_config
+
         verify_fp8_support_if_applicable(model_config)
 
         raise_handler = RaiseUninitialized()
@@ -767,6 +787,7 @@ class FastBaseModel:
             load_in_fp8 = kwargs.pop("load_in_fp8", None)
             model = auto_model.from_pretrained(
                 model_name,
+                config = model_config,
                 device_map = device_map,
                 # torch_dtype           = torch_dtype, # Transformers removed torch_dtype
                 # quantization_config   = bnb_config,