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

gallery/index.yaml

@@ -3295,7 +3295,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -3313,7 +3313,7 @@
   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:
@@ -3331,7 +3331,7 @@
   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:
@@ -6949,7 +6949,7 @@
       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
@@ -22981,3 +22981,28 @@
     - filename: GroveMoE-Base.i1-Q4_K_M.gguf
       sha256: 9d7186ba9531bf689c91176468d7a35c0aaac0cd52bd44d4ed8f7654949ef4f4
       uri: huggingface://mradermacher/GroveMoE-Base-i1-GGUF/GroveMoE-Base.i1-Q4_K_M.gguf
+- !!merge <<: *qwen3
+  name: "nvidia.qwen3-nemotron-32b-rlbff"
+  urls:
+    - https://huggingface.co/DevQuasar/nvidia.Qwen3-Nemotron-32B-RLBFF-GGUF
+  description: |
+    The **nvidia/Qwen3-Nemotron-32B-RLBFF** is a large language model based on the Qwen3 architecture, fine-tuned by NVIDIA using Reinforcement Learning from Human Feedback (RLHF) for improved alignment with human preferences. With 32 billion parameters, it excels in complex reasoning, instruction following, and natural language generation, making it suitable for advanced tasks such as code generation, dialogue systems, and content creation.
+
+    This model is part of NVIDIA’s Nemotron series, designed to deliver high performance and safety in real-world applications. It is optimized for efficient deployment while maintaining strong language understanding and generation capabilities.
+
+    **Key Features:**
+    - **Base Model**: Qwen3-32B
+    - **Fine-tuning**: Reinforcement Learning from Human Feedback (RLBFF)
+    - **Use Case**: Advanced text generation, coding, dialogue, and reasoning
+    - **License**: MIT (check Hugging Face for full details)
+
+    👉 [View on Hugging Face](https://huggingface.co/nvidia/Qwen3-Nemotron-32B-RLBFF)
+
+    *Note: The GGUF version hosted by DevQuasar is a quantized variant for efficient local inference. The original, unquantized model is available at the link above.*
+  overrides:
+    parameters:
+      model: nvidia.Qwen3-Nemotron-32B-RLBFF.Q4_K_M.gguf
+  files:
+    - filename: nvidia.Qwen3-Nemotron-32B-RLBFF.Q4_K_M.gguf
+      sha256: 5dfc9f1dc21885371b12a6e0857d86d6deb62b6601b4d439e4dfe01195a462f1
+      uri: huggingface://DevQuasar/nvidia.Qwen3-Nemotron-32B-RLBFF-GGUF/nvidia.Qwen3-Nemotron-32B-RLBFF.Q4_K_M.gguf