Xuan-Son Nguyen 074e42ab31 convert : converting mmproj for Qwen2/2.5VL from convert_hf_to_gguf (#13209) 8 miesięcy temu
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android 243453533e llava : update documentations (#13055) 9 miesięcy temu
CMakeLists.txt 00e3e5a194 mtmd : add qwen2vl and qwen2.5vl (#13141) 8 miesięcy temu
README-quantize.md 1ec208083c llava: add quantization for the visual projector LLAVA, Qwen2VL (#11644) 11 miesięcy temu
README.md 074e42ab31 convert : converting mmproj for Qwen2/2.5VL from convert_hf_to_gguf (#13209) 8 miesięcy temu
clip-impl.h 8936784f7a mtmd : add **vision** support for Mistral Small 3.1 (#13231) 8 miesięcy temu
clip-quantize-cli.cpp 1ec208083c llava: add quantization for the visual projector LLAVA, Qwen2VL (#11644) 11 miesięcy temu
clip.cpp b6e4ff69b8 clip : (minicpmv) Re-enable upscaling of images smaller than the CLIP image size (#13237) 8 miesięcy temu
clip.h 00e3e5a194 mtmd : add qwen2vl and qwen2.5vl (#13141) 8 miesięcy temu
convert_image_encoder_to_gguf.py e9b2f84f14 llava: add big-endian conversion for image encoder (#12218) 10 miesięcy temu
deprecation-warning.cpp 84a9bf2fc2 mtmd : merge llava, gemma3 and minicpmv CLI into single `llama-mtmd-cli` (#13012) 9 miesięcy temu
glmedge-convert-image-encoder-to-gguf.py 0cec062a63 llama : add support for GLM-Edge and GLM-Edge-V series models (#10573) 11 miesięcy temu
glmedge-surgery.py 0cec062a63 llama : add support for GLM-Edge and GLM-Edge-V series models (#10573) 11 miesięcy temu
llava.cpp 00e3e5a194 mtmd : add qwen2vl and qwen2.5vl (#13141) 8 miesięcy temu
llava.h 3071c0a5f2 llava : support MiniCPM-V-2.5 (#7599) 1 rok temu
llava_surgery.py e235b267a2 py : switch to snake_case (#8305) 1 rok temu
llava_surgery_v2.py 7a2c913e66 llava : Add Granite Vision Support (#11794) 10 miesięcy temu
minicpmv-convert-image-encoder-to-gguf.py 8352cdc87b llava : fix bug in minicpm-v code (#11513) 10 miesięcy temu
minicpmv-surgery.py 3e3357fd77 llava : support Minicpm-omni (#11289) 1 rok temu
mtmd-cli.cpp e84773ab60 mtmd-cli : fix out_of_range when input image path is empty (#13244) 8 miesięcy temu
mtmd.cpp e84773ab60 mtmd-cli : fix out_of_range when input image path is empty (#13244) 8 miesięcy temu
mtmd.h 00e3e5a194 mtmd : add qwen2vl and qwen2.5vl (#13141) 8 miesięcy temu
qwen2vl-test.cpp 00e3e5a194 mtmd : add qwen2vl and qwen2.5vl (#13141) 8 miesięcy temu
requirements.txt d3ae0ee8d7 py : fix requirements check '==' -> '~=' (#8982) 1 rok temu
test-1.jpeg 0364178ca2 clip : refactor clip_init, add tests (#12757) 9 miesięcy temu
tests.sh 074e42ab31 convert : converting mmproj for Qwen2/2.5VL from convert_hf_to_gguf (#13209) 8 miesięcy temu

README-quantize.md

Quantizing CLIP Visual Projector

This is the tool for quantizing the CLIP visual projector model. Quantization reduces the precision of the model's weights, which can significantly decrease the model size and improve inference speed, often with minimal impact on performance.

Usage

To quantize a CLIP visual projector model, use the following command:

./bin/llama-llava-clip-quantize-cli /path/to/ggml-model-f32.gguf /path/to/ggml-model-quantized.gguf <type>

After the quantization, the visual projector can be used freely with the existing LLAVA cli (LLAVA, Qwen2VL, etc).

Arguments

  • /path/to/ggml-model-f32.gguf: The path to the input model file in FP32 or FP16 format.
  • /path/to/ggml-model-quantized.gguf: The path where the quantized model will be saved.
  • <type>: The quantization type to apply. This should be an integer corresponding to one of the quantization types defined in the enum ggml_type.

Quantization Types

The following quantization types are supported, based on the enum ggml_type definition:

  • 2 - q4_0: 4-bit quantization with a single scale value.
  • 3 - q4_1: 4-bit quantization with a separate scale value for each block.
  • 6 - q5_0: 5-bit quantization with a single scale value.
  • 7 - q5_1: 5-bit quantization with a separate scale value for each block.
  • 8 - q8_0: 8-bit quantization with a single scale value.

Example

To quantize a model using the q4_0 quantization type, you would run:

./bin/llama-llava-clip-quantize-cli /path/to/ggml-model-f32.gguf /path/to/ggml-model-quantized.gguf 2

This command will generate a quantized model at /path/to/ggml-model-quantized.gguf using the q4_0 quantization method.

Notes

  • Quantization can lead to a loss in model accuracy, depending on the chosen quantization type. It is recommended to evaluate the quantized model's performance on your specific task to ensure it meets your requirements.
  • The quantized model will typically be smaller in size and faster to run, making it more suitable for deployment in resource-constrained environments.