`mode` was ignored in `model_kit.vision_add_ons.load_utils.maybe_apply_quantization`, causing `mxfp8` and such quants to fail.

**Which version of LM Studio?**
Version 0.4.4+1 (0.4.4+1)

**Which operating system?**
macOS 26.2 (25C56)

Sorry if I submitted the issue to the wrong place!
Moved from lmstudio-ai/lmstudio-bug-tracker#1490

**What is the bug?**
When loading `mxfp8` model with `multi_modal_projector`,
If shards don't have `multi_modal_projector.*.biases` key,
will fail to load model,
even though `multimodal_projector_bias: false` was specified in `config.json`.

**Logs**

**For the `mxfp8`**
```
2026-02-07 23:56:40 [DEBUG]
[model_kit][INFO]: Loading model from /Users/foxtr0t/.lmstudio/models/Foxtr0t/Ministral-3-14B-Reasoning-2512-mlx-mxfp8...
2026-02-07 23:56:45 [DEBUG]
[fix_mistral_pre_tokenizer][INFO]: Detected mistral model. Checking if tokenizer needs fixing...
2026-02-07 23:56:45 [DEBUG]
[fix_mistral_pre_tokenizer][INFO]: Tokenizer is of type . Skipping fix.
2026-02-07 23:56:46 [DEBUG]
ValueError: Missing 3 parameters:
multi_modal_projector.linear_1.biases,
multi_modal_projector.linear_2.biases,
multi_modal_projector.patch_merger.merging_layer.biases.

At:
/Users/foxtr0t/.lmstudio/extensions/backends/vendor/_amphibian/app-mlx-generate-mac14-arm64@13/lib/python3.11/site-packages/mlx/nn/layers/base.py(191): load_weights
/Users/foxtr0t/.lmstudio/extensions/backends/vendor/_amphibian/app-mlx-generate-mac14-arm64@13/lib/python3.11/site-packages/mlx_engine/model_kit/vision_add_ons/load_utils.py(182): prepare_components
/Users/foxtr0t/.lmstudio/extensions/backends/vendor/_amphibian/app-mlx-generate-mac14-arm64@13/lib/python3.11/site-packages/mlx_engine/model_kit/vision_add_ons/load_utils.py(251): load_vision_addon
/Users/foxtr0t/.lmstudio/extensions/backends/vendor/_amphibian/app-mlx-generate-mac14-arm64@13/lib/python3.11/site-packages/mlx_engine/model_kit/vision_add_ons/mistral3.py(45): __init__
/Users/foxtr0t/.lmstudio/extensions/backends/vendor/_amphibian/app-mlx-generate-mac14-arm64@13/lib/python3.11/site-packages/mlx_engine/model_kit/model_kit.py(114): _full_model_init
/Users/foxtr0t/.lmstudio/extensions/backends/vendor/_amphibian/app-mlx-generate-mac14-arm64@13/lib/python3.11/site-packages/mlx_engine/model_kit/model_kit.py(129): __init__
/Users/foxtr0t/.lmstudio/extensions/backends/vendor/_amphibian/app-mlx-generate-mac14-arm64@13/lib/python3.11/site-packages/mlx_engine/generate.py(119): load_model
2026-02-07 23:56:46 [DEBUG]
lmstudio-llama-cpp: failed to load model. Error: Error when loading model: ValueError: Missing 3 parameters:
multi_modal_projector.linear_1.biases,
multi_modal_projector.linear_2.biases,
multi_modal_projector.patch_merger.merging_layer.biases.
```

**To Reproduce**
Steps to reproduce the behavior:
1. Convert the model using `mlx-vlm`.
```python3
from mlx_vlm import convert

hf_path = "mistralai/Ministral-3-14B-Reasoning-2512"
upload_repo = "Foxtr0t/Ministral-3-14B-Reasoning-2512-mlx-mxfp8"
mlx_path = upload_repo.split('/')[-1]

convert(hf_path, mlx_path, quantize=True, q_group_size=32, q_bits=8, q_mode="mxfp8")
```
2. Copy to LM Studio model directory (~/.lmstudio/models/Foxtr0t/Ministral-3-14B-Reasoning-2512-mlx-mxfp8)
3. Load model.
4. Complain missing parameters, but those shouldn't exist in the first place except `affine` or `multimodal_projector_bias: true`?

**The Points?**

`affine` works fine because the default `mode` is `affine`

Other formats might break, just like `mxfp8`, if the `multimodal_projector_bias` is quantized.

Proposed fix: #271

Start in model_kit/vision_add_ons/load_utils.py, especially maybe_apply_quantization and the prepare_components path shown in the traceback. Trace how mode is passed when loading the multi-modal projector, then reproduce the mxfp8 case from the issue. Done means the specified projector-bias setting is respected and the model no longer fails on missing bias parameters; review issue #271 for the proposed fix.

Written by the indexing model from the issue text.