chore(model gallery): disable gemma3 mmproj

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2025-03-21 03:25:20 +00:00 · 2025-03-17 12:34:21 +01:00 · 2025-03-17 12:34:21 +01:00 · 4967fa5928
commit 4967fa5928
parent 2b98e4ec56
1 changed files with 3 additions and 3 deletions
--- a/gallery/index.yaml
+++ b/gallery/index.yaml
@ -18,7 +18,7 @@
    - gemma3
    - gemma-3
  overrides:
-    mmproj: gemma-3-27b-it-mmproj-f16.gguf
+    #mmproj: gemma-3-27b-it-mmproj-f16.gguf
    parameters:
      model: gemma-3-27b-it-Q4_K_M.gguf
  files:
@ -36,7 +36,7 @@
  description: |
    google/gemma-3-12b-it is an open-source, state-of-the-art, lightweight, multimodal model built from the same research and technology used to create the Gemini models. It is capable of handling text and image input and generating text output. It has a large context window of 128K tokens and supports over 140 languages. The 12B variant has been fine-tuned using the instruction-tuning approach. Gemma 3 models are suitable for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes them deployable in environments with limited resources such as laptops, desktops, or your own cloud infrastructure.
  overrides:
-    mmproj: gemma-3-12b-it-mmproj-f16.gguf
+    #mmproj: gemma-3-12b-it-mmproj-f16.gguf
    parameters:
      model: gemma-3-12b-it-Q4_K_M.gguf
  files:
@ -54,7 +54,7 @@
  description: |
    Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone. Gemma-3-4b-it is a 4 billion parameter model.
  overrides:
-    mmproj: gemma-3-4b-it-mmproj-f16.gguf
+    #mmproj: gemma-3-4b-it-mmproj-f16.gguf
    parameters:
      model: gemma-3-4b-it-Q4_K_M.gguf
  files: