chore(model gallery): add demyagent-4b-i1

Signed-off-by: Ettore Di Giacinto <[email protected]>

Author: mudler

gallery/index.yaml

@@ -3054,6 +3054,28 @@
     - 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
+- !!merge <<: *qwen3
+  name: "demyagent-4b-i1"
+  icon: https://cdn-avatars.huggingface.co/v1/production/uploads/64fde4e252e82dd432b74ce9/TAEScS71YX5NPRM4TXZc8.png
+  urls:
+    - https://huggingface.co/Gen-Verse/DemyAgent-4B
+    - https://huggingface.co/mradermacher/DemyAgent-4B-i1-GGUF
+  description: |
+    This repository contains the DemyAgent-4B model weights, a 4B-sized agentic reasoning model that achieves state-of-the-art performance on challenging benchmarks including AIME2024/2025, GPQA-Diamond, and LiveCodeBench-v6. DemyAgent-4B is trained using our GRPO-TCR recipe with 30K high-quality agentic RL data, demonstrating that small models can outperform much larger alternatives (14B/32B) through effective RL training strategies.
+    🌟 Introduction
+
+    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: DemyAgent-4B.i1-Q4_K_M.gguf
+  files:
+    - filename: DemyAgent-4B.i1-Q4_K_M.gguf
+      sha256: be619b23510debc492ddba73b6764382a8e0c4e97e5c206e0e2ee86d117c0878
+      uri: huggingface://mradermacher/DemyAgent-4B-i1-GGUF/DemyAgent-4B.i1-Q4_K_M.gguf
 - &gemma3
   url: "github:mudler/LocalAI/gallery/gemma.yaml@master"
   name: "gemma-3-27b-it"