chore(model gallery): 🤖 add 1 new models via gallery agent

gallery/index.yaml

@@ -3127,7 +3127,7 @@
     - 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 +3145,7 @@
   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 +3163,7 @@
   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 +6781,7 @@
       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
@@ -22212,3 +22212,28 @@
     - filename: Llama-3.2-3B-Instruct.Q4_K_M.gguf
       sha256: 5215294ba79312141a182e9477caaef0f4a44fbc6cc0b421092efe8d7fce03a1
       uri: huggingface://samunder12/Llama-3.2-3B-small_Shiro_roleplay-gguf/Llama-3.2-3B-Instruct.Q4_K_M.gguf
+- !!merge <<: *qwen3
+  name: "qwen3-235b-a22b-instruct-2507"
+  urls:
+    - https://huggingface.co/John1604/Qwen3-235B-A22B-Instruct-2507-gguf
+  description: |
+    **Model Name:** Qwen3-235B-A22B-Instruct-2507 (Base Model: Qwen/Qwen3-235B-A22B-Instruct-2507)
+    **Architecture:** Large Language Model (LLM) based on Qwen3 series
+    **Size:** 235 Billion parameters
+    **License:** Apache 2.0
+    **Purpose:** Instruction-tuned language model for advanced reasoning, dialogue, and complex task completion
+
+    This is the full-precision base model of the Qwen3-235B series, designed for high-performance, accurate, and context-aware language understanding and generation. It is optimized for instruction-following, making it ideal for applications requiring nuanced, reliable, and coherent responses. The model is not quantized—this ensures maximum quality and fidelity compared to compressed or lower-bit versions.
+
+    > ✅ **Note:** The repository `John1604/Qwen3-235B-A22B-Instruct-2507-gguf` contains quantized GGUF versions (e.g., Q4_K_M, Q6_K, Q8_0) for efficient local inference. The original, unquantized, high-fidelity base model is hosted at **[Qwen/Qwen3-235B-A22B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507)**.
+
+    **Use Case:** Ideal for researchers, developers, and enterprises needing top-tier performance in reasoning, code generation, multilingual support, and complex dialogue.
+
+    **Recommended for:** High-accuracy inference with sufficient GPU memory (≥ 80GB VRAM for full precision).
+  overrides:
+    parameters:
+      model: Qwen3-235B-A22B-Instruct-2507-q4_k_m.gguf
+  files:
+    - filename: Qwen3-235B-A22B-Instruct-2507-q4_k_m.gguf
+      sha256: 3122e8c39c203923e2cba509a5cf0850fd24ae74e58162cc85576557ead9fe53
+      uri: huggingface://John1604/Qwen3-235B-A22B-Instruct-2507-gguf/Qwen3-235B-A22B-Instruct-2507-q4_k_m.gguf