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
@@ -23023,3 +23023,31 @@
     - filename: Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-PKDick-V.i1-Q4_K_M.gguf
       sha256: 6955283520e3618fe349bb75f135eae740f020d9d7f5ba38503482e5d97f6f59
       uri: huggingface://mradermacher/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-PKDick-V-i1-GGUF/Qwen3-Yoyo-V4-42B-A3B-Thinking-TOTAL-RECALL-PKDick-V.i1-Q4_K_M.gguf
+- !!merge <<: *llama33
+  name: "gervasio-70b-portuguese-ptpt-decoder-i1"
+  urls:
+    - https://huggingface.co/mradermacher/gervasio-70b-portuguese-ptpt-decoder-i1-GGUF
+  description: |
+    **Gervásio 70B PTPT Decoder**
+    *An open, high-performance language model for Portuguese*
+
+    - **Model Type**: Decoder-only, Transformer-based (LLaMA-3.3 70B architecture)
+    - **Language**: Fully trained and optimized for **European Portuguese (pt-pt)**
+    - **Parameters**: 70 billion
+    - **Key Features**:
+      - Fine-tuned on diverse Portuguese datasets including **extraGLUE-Instruct**, **MMLU-PTPT**, **NatInst-PTPT**, **Wiki-PTPT**, and curated Wikipedia content
+      - Designed for instruction following, reasoning, question answering, and natural text generation
+      - Available in **16-bit** and **4-bit GGUF quantized** versions (for efficient local inference)
+    - **Performance**: Achieves strong results on Portuguese benchmarks (e.g., **82.04% MMLU accuracy**, **96.00% COPA F1**) — competitive with top English models
+    - **License**: MIT (fully open for research and commercial use)
+    - **Use Case**: Ideal for Portuguese-language generative AI applications, chatbots, content creation, and NLP research
+
+    > 📌 *Developed by the NLX Natural Language and Speech Group at the University of Lisbon, Portugal.*
+    > 🔗 [View on Hugging Face](https://huggingface.co/PORTULAN/gervasio-70b-portuguese-ptpt-decoder) | [Try in Evaristo.ai](https://evaristo.ai)
+  overrides:
+    parameters:
+      model: gervasio-70b-portuguese-ptpt-decoder.i1-Q4_K_M.gguf
+  files:
+    - filename: gervasio-70b-portuguese-ptpt-decoder.i1-Q4_K_M.gguf
+      sha256: 53b4c096714fa51fc5249e6d46d3ced2e62784a9738e86c5899c68e3b0859ebd
+      uri: huggingface://mradermacher/gervasio-70b-portuguese-ptpt-decoder-i1-GGUF/gervasio-70b-portuguese-ptpt-decoder.i1-Q4_K_M.gguf