mtmd : support MiniCPM-V 4.6 (#22529)

* Support MiniCPM-V 4.6 in new branch

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* fix code bug

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* fix pre-commit

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* fix convert

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* rename clip_graph_minicpmv4_6

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* use new TYPE_MINICPMV4_6

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* use build_attn to allow flash attention support

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* no use legacy code, restored here.

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* use the existing tensors name

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* unused ctx->model.hparams.minicpmv_version

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* use n_merge for slice alignment

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* borrow wa_layer_indexes for vit_merger insertion point

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* fix code style

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* Update convert_hf_to_gguf.py

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* use filter_tensors and add model.vision_tower

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* fix chkhsh

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

* fix type check

Signed-off-by: tc-mb <tianchi_cai@icloud.com>

---------

Signed-off-by: tc-mb <tianchi_cai@icloud.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
This commit is contained in:
tc-mb
2026-05-07 03:54:09 +08:00
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## MiniCPM-V 4.6
### Prepare models and code
Download [MiniCPM-V-4_6](https://huggingface.co/openbmb/MiniCPM-V-4_6) PyTorch model from huggingface to "MiniCPM-V-4_6" folder.
The model must be the standard `transformers` v5.7.0+ checkpoint (no `trust_remote_code`); the architecture in `config.json` is `MiniCPMV4_6ForConditionalGeneration` with a `qwen3_5_text` text model and a SigLIP-based vision tower plus a window-attention `vit_merger`.
### Build llama.cpp
If there are differences in usage, please refer to the official build [documentation](https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md)
Clone llama.cpp:
```bash
git clone https://github.com/ggml-org/llama.cpp
cd llama.cpp
```
Build llama.cpp using `CMake`:
```bash
cmake -B build
cmake --build build --config Release
```
### Usage of MiniCPM-V 4.6
Unlike older MiniCPM-V variants, MiniCPM-V 4.6 is converted directly through `convert_hf_to_gguf.py`. The same script is invoked twice on the original Hugging Face directory: once to produce the language-model GGUF and once with `--mmproj` to produce the multimodal projector GGUF.
```bash
# language model
python ./convert_hf_to_gguf.py ../MiniCPM-V-4_6 --outfile ../MiniCPM-V-4_6/ggml-model-f16.gguf
# multimodal projector (vision tower + window-attention vit_merger + DownsampleMLP merger)
python ./convert_hf_to_gguf.py ../MiniCPM-V-4_6 --mmproj --outfile ../MiniCPM-V-4_6/mmproj-model-f16.gguf
# optional: quantize to Q4_K_M
./build/bin/llama-quantize ../MiniCPM-V-4_6/ggml-model-f16.gguf ../MiniCPM-V-4_6/ggml-model-Q4_K_M.gguf Q4_K_M
```
Inference on Linux or Mac
```bash
# run in single-turn mode
./build/bin/llama-mtmd-cli -m ../MiniCPM-V-4_6/ggml-model-f16.gguf --mmproj ../MiniCPM-V-4_6/mmproj-model-f16.gguf -c 4096 --temp 0.7 --top-p 0.8 --top-k 100 --repeat-penalty 1.05 --image xx.jpg -p "What is in the image?"
# run in conversation mode
./build/bin/llama-mtmd-cli -m ../MiniCPM-V-4_6/ggml-model-Q4_K_M.gguf --mmproj ../MiniCPM-V-4_6/mmproj-model-f16.gguf
```