chore(model gallery): add qwen3-4b-ra-sft

gallery/index.yaml

@@ -3034,6 +3034,26 @@
     - filename: gustavecortal_Beck-4B-Q4_K_M.gguf
       sha256: f4af0cf3e6adedabb79c16d8d5d6d23a3996f626d7866ddc27fa80011ce695af
       uri: huggingface://bartowski/gustavecortal_Beck-4B-GGUF/gustavecortal_Beck-4B-Q4_K_M.gguf
+- !!merge <<: *qwen3
+  name: "qwen3-4b-ra-sft"
+  icon: https://cdn-avatars.huggingface.co/v1/production/uploads/64fde4e252e82dd432b74ce9/TAEScS71YX5NPRM4TXZc8.png
+  urls:
+    - https://huggingface.co/Gen-Verse/Qwen3-4B-RA-SFT
+    - https://huggingface.co/mradermacher/Qwen3-4B-RA-SFT-GGUF
+  description: |
+    a 4B-sized agentic reasoning model that is finetuned with our 3k Agentic SFT dataset, based on Qwen3-4B-Instruct-2507.
+    In our work, we systematically investigate three dimensions of agentic RL: data, algorithms, and reasoning modes. Our findings reveal
+
+    🎯 Data Quality Matters: Real end-to-end trajectories and high-diversity datasets significantly outperform synthetic alternatives
+    ⚡ Training Efficiency: Exploration-friendly techniques like reward clipping and entropy maintenance boost training efficiency
+    🧠 Reasoning Strategy: Deliberative reasoning with selective tool calls surpasses frequent invocation or verbose self-reasoning We contribute high-quality SFT and RL datasets, demonstrating that simple recipes enable even 4B models to outperform 32B models on the most challenging reasoning benchmarks.
+  overrides:
+    parameters:
+      model: Qwen3-4B-RA-SFT.Q4_K_M.gguf
+  files:
+    - filename: Qwen3-4B-RA-SFT.Q4_K_M.gguf
+      sha256: 49147b917f431d6c42cc514558c7ce3bcdcc6fdfba937bbb6f964702dc77e532
+      uri: huggingface://mradermacher/Qwen3-4B-RA-SFT-GGUF/Qwen3-4B-RA-SFT.Q4_K_M.gguf
 - &gemma3
   url: "github:mudler/LocalAI/gallery/gemma.yaml@master"
   name: "gemma-3-27b-it"
@@ -3053,7 +3073,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -3071,7 +3091,7 @@
   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:
@@ -3089,7 +3109,7 @@
   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:
@@ -6685,7 +6705,7 @@
       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