diff --git a/gallery/index.yaml b/gallery/index.yaml
index 8bfa0d18dd57..05e5015032cf 100644
--- a/gallery/index.yaml
+++ b/gallery/index.yaml
@@ -23075,3 +23075,77 @@
     - filename: Orca-Agent-v0.1.Q4_K_M.gguf
       sha256: 2943397fe2c23959215218adbfaf361ca7974bbb0f948e08c230e6bccb1f130a
       uri: huggingface://mradermacher/Orca-Agent-v0.1-GGUF/Orca-Agent-v0.1.Q4_K_M.gguf
+- !!merge <<: *qwen3
+  name: "orca-agent-v0.1-i1"
+  urls:
+    - https://huggingface.co/mradermacher/Orca-Agent-v0.1-i1-GGUF
+  description: |
+    **Model Name:** Orca-Agent-v0.1
+    **Base Model:** Qwen3-14B
+    **Repository:** [Danau5tin/Orca-Agent-v0.1](https://huggingface.co/Danau5tin/Orca-Agent-v0.1)
+    **License:** Apache 2.0
+    **Use Case:** Multi-Agent Orchestration for Complex Code & System Tasks
+
+    ---
+
+    ### 🔍 **Overview**
+    Orca-Agent-v0.1 is a powerful **task orchestration agent** designed to manage complex, multi-step workflows—especially in code and system administration—without directly modifying code. Instead, it acts as a strategic planner that coordinates a team of specialized agents.
+
+    ---
+
+    ### 🛠️ **Key Features**
+    - **Intelligent Task Breakdown:** Analyzes user requests and decomposes them into focused subtasks.
+    - **Agent Coordination:** Dynamically dispatches:
+      - *Explorer agents* to understand the system state.
+      - *Coder agents* to implement changes with precise instructions.
+      - *Verifier agents* to validate results.
+    - **Context Management:** Maintains a persistent context store to track discoveries across steps.
+    - **High Performance:** Achieves **18.25% on TerminalBench** when paired with Qwen3-Coder-30B, nearing the performance of a 480B model.
+
+    ---
+
+    ### 📊 **Performance**
+    | Orchestrator | Subagent | Terminal Bench |
+    |--------------|----------|----------------|
+    | Orca-Agent-v0.1-14B | Qwen3-Coder-30B | **18.25%** |
+    | Qwen3-14B | Qwen3-Coder-30B | 7.0% |
+
+    > *Trained on 32x H100s using GRPO + curriculum learning, with full open-source training code available.*
+
+    ---
+
+    ### 📌 **Example Output**
+    ```xml
+    <task_create>
+    agent_type: 'coder'
+    title: 'Attempt recovery using the identified backup file'
+    description: |
+      Move the backup file from /tmp/terraform_work/.terraform.tfstate.tmp to /infrastructure/recovered_state.json.
+      Verify file existence, size, and permissions (rw-r--r--).
+    max_turns: 10
+    context_refs: ['task_003']
+    </task_create>
+    ```
+
+    ---
+
+    ### 📁 **Serving**
+    - ✅ **vLLM:** `vllm serve Danau5tin/Orca-Agent-v0.1`
+    - ✅ **SGLang:** `python -m sglang.launch_server --model-path Danau5tin/Orca-Agent-v0.1`
+
+    ---
+
+    ### 🌐 **Learn More**
+    - **Training & Code:** [GitHub - Orca-Agent-RL](https://github.com/Danau5tin/Orca-Agent-RL)
+    - **Orchestration Framework:** [multi-agent-coding-system](https://github.com/Danau5tin/multi-agent-coding-system)
+
+    ---
+
+    > ✅ *Note: The model at `mradermacher/Orca-Agent-v0.1-i1-GGUF` is a quantized version of this original model. This description reflects the full, unquantized version by the original author.*
+  overrides:
+    parameters:
+      model: Orca-Agent-v0.1.i1-Q4_K_M.gguf
+  files:
+    - filename: Orca-Agent-v0.1.i1-Q4_K_M.gguf
+      sha256: 05548385128da98431f812d1b6bc3f1bff007a56a312dc98d9111b5fb51e1751
+      uri: huggingface://mradermacher/Orca-Agent-v0.1-i1-GGUF/Orca-Agent-v0.1.i1-Q4_K_M.gguf