chore(model gallery): add qwen3-vl-30b-a3b-instruct

gallery/index.yaml

@@ -1,4 +1,67 @@
 ---
+- &qwen3vl
+  url: "github:mudler/LocalAI/gallery/qwen3.yaml@master"
+  icon: https://cdn-avatars.huggingface.co/v1/production/uploads/620760a26e3b7210c2ff1943/-s1gyJfvbE1RgO5iBeNOi.png
+  license: apache-2.0
+  tags:
+    - llm
+    - gguf
+    - gpu
+    - image-to-text
+    - multimodal
+    - cpu
+    - qwen
+    - qwen3
+    - thinking
+    - reasoning
+  name: "qwen3-vl-30b-a3b-instruct"
+  urls:
+    - https://huggingface.co/unsloth/Qwen3-VL-30B-A3B-Instruct-GGUF
+  description: |
+    Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.
+
+    This generation delivers comprehensive upgrades across the board: superior text understanding & generation, deeper visual perception & reasoning, extended context length, enhanced spatial and video dynamics comprehension, and stronger agent interaction capabilities.
+
+    Available in Dense and MoE architectures that scale from edge to cloud, with Instruct and reasoning‑enhanced Thinking editions for flexible, on-demand deployment.
+
+    #### Key Enhancements:
+
+    * **Visual Agent**: Operates PC/mobile GUIs—recognizes elements, understands functions, invokes tools, completes tasks.
+
+    * **Visual Coding Boost**: Generates Draw.io/HTML/CSS/JS from images/videos.
+
+    * **Advanced Spatial Perception**: Judges object positions, viewpoints, and occlusions; provides stronger 2D grounding and enables 3D grounding for spatial reasoning and embodied AI.
+
+    * **Long Context & Video Understanding**: Native 256K context, expandable to 1M; handles books and hours-long video with full recall and second-level indexing.
+
+    * **Enhanced Multimodal Reasoning**: Excels in STEM/Math—causal analysis and logical, evidence-based answers.
+
+    * **Upgraded Visual Recognition**: Broader, higher-quality pretraining is able to “recognize everything”—celebrities, anime, products, landmarks, flora/fauna, etc.
+
+    * **Expanded OCR**: Supports 32 languages (up from 19); robust in low light, blur, and tilt; better with rare/ancient characters and jargon; improved long-document structure parsing.
+
+    * **Text Understanding on par with pure LLMs**: Seamless text–vision fusion for lossless, unified comprehension.
+
+    #### Model Architecture Updates:
+
+    1. **Interleaved-MRoPE**: Full‑frequency allocation over time, width, and height via robust positional embeddings, enhancing long‑horizon video reasoning.
+
+    2. **DeepStack**: Fuses multi‑level ViT features to capture fine-grained details and sharpen image–text alignment.
+
+    3. **Text–Timestamp Alignment:** Moves beyond T‑RoPE to precise, timestamp‑grounded event localization for stronger video temporal modeling.
+
+    This is the weight repository for Qwen3-VL-30B-A3B-Instruct.
+  overrides:
+    mmproj: mmproj/mmproj-F16.gguf
+    parameters:
+      model: Qwen3-VL-30B-A3B-Instruct-Q4_K_M.gguf
+  files:
+    - filename: Qwen3-VL-30B-A3B-Instruct-Q4_K_M.gguf
+      sha256: 75d8f4904016d90b71509c8576ebd047a0606cc5aa788eada29d4bedf9b761a6
+      uri: huggingface://unsloth/Qwen3-VL-30B-A3B-Instruct-GGUF/Qwen3-VL-30B-A3B-Instruct-Q4_K_M.gguf
+    - filename: mmproj/mmproj-F16.gguf
+      sha256: 7e7cec67a3a887bddbf38099738d08570e85f08dd126578fa00a7acf4dacef01
+      uri: huggingface://unsloth/Qwen3-VL-30B-A3B-Instruct-GGUF/mmproj-F16.gguf
 - &jamba
   icon: https://cdn-avatars.huggingface.co/v1/production/uploads/65e60c0ed5313c06372446ff/QwehUHgP2HtVAMW5MzJ2j.png
   name: "ai21labs_ai21-jamba-reasoning-3b"
@@ -3127,7 +3190,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -3145,7 +3208,7 @@
   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
     parameters:
       model: gemma-3-12b-it-Q4_K_M.gguf
   files:
@@ -3163,7 +3226,7 @@
   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
     parameters:
       model: gemma-3-4b-it-Q4_K_M.gguf
   files:
@@ -6781,7 +6844,7 @@
       sha256: 2756551de7d8ff7093c2c5eec1cd00f1868bc128433af53f5a8d434091d4eb5a
       uri: huggingface://Triangle104/Nano_Imp_1B-Q8_0-GGUF/nano_imp_1b-q8_0.gguf
 - &qwen25
   name: "qwen2.5-14b-instruct" ## Qwen2.5
   icon: https://avatars.githubusercontent.com/u/141221163
   url: "github:mudler/LocalAI/gallery/chatml.yaml@master"
   license: apache-2.0

gallery/qwen3.yaml

@@ -6,15 +6,20 @@ config_file: |
   backend: "llama-cpp"
   template:
     chat_message: |
-      <|im_start|>{{ .RoleName }}
-      {{ if .FunctionCall -}}
-      {{ else if eq .RoleName "tool" -}}
+      <|im_start|>{{if eq .RoleName "tool" }}user{{else}}{{ .RoleName }}{{end}}
+      {{ if eq .RoleName "tool" -}}
+      <tool_response>
       {{ end -}}
       {{ if .Content -}}
       {{.Content }}
       {{ end -}}
+      {{ if eq .RoleName "tool" -}}
+      </tool_response>
+      {{ end -}}
       {{ if .FunctionCall -}}
+      <tool_call>
       {{toJson .FunctionCall}}
+      </tool_call>
       {{ end -}}<|im_end|>
     function: |
       <|im_start|>system