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chore(model gallery): 🤖 add 1 new models via gallery agent (#7133)
chore(model gallery): 🤖 add new models via gallery agent Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
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gallery/index.yaml

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- filename: Orca-Agent-v0.1.Q4_K_M.gguf
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sha256: 2943397fe2c23959215218adbfaf361ca7974bbb0f948e08c230e6bccb1f130a
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uri: huggingface://mradermacher/Orca-Agent-v0.1-GGUF/Orca-Agent-v0.1.Q4_K_M.gguf
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- !!merge <<: *qwen3
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name: "orca-agent-v0.1-i1"
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urls:
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- https://huggingface.co/mradermacher/Orca-Agent-v0.1-i1-GGUF
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description: |
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**Model Name:** Orca-Agent-v0.1
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**Base Model:** Qwen3-14B
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**Repository:** [Danau5tin/Orca-Agent-v0.1](https://huggingface.co/Danau5tin/Orca-Agent-v0.1)
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**License:** Apache 2.0
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**Use Case:** Multi-Agent Orchestration for Complex Code & System Tasks
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---
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### 🔍 **Overview**
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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.
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---
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### 🛠️ **Key Features**
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- **Intelligent Task Breakdown:** Analyzes user requests and decomposes them into focused subtasks.
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- **Agent Coordination:** Dynamically dispatches:
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- *Explorer agents* to understand the system state.
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- *Coder agents* to implement changes with precise instructions.
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- *Verifier agents* to validate results.
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- **Context Management:** Maintains a persistent context store to track discoveries across steps.
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- **High Performance:** Achieves **18.25% on TerminalBench** when paired with Qwen3-Coder-30B, nearing the performance of a 480B model.
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---
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### 📊 **Performance**
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| Orchestrator | Subagent | Terminal Bench |
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|--------------|----------|----------------|
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| Orca-Agent-v0.1-14B | Qwen3-Coder-30B | **18.25%** |
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| Qwen3-14B | Qwen3-Coder-30B | 7.0% |
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> *Trained on 32x H100s using GRPO + curriculum learning, with full open-source training code available.*
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---
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### 📌 **Example Output**
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```xml
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<task_create>
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agent_type: 'coder'
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title: 'Attempt recovery using the identified backup file'
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description: |
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Move the backup file from /tmp/terraform_work/.terraform.tfstate.tmp to /infrastructure/recovered_state.json.
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Verify file existence, size, and permissions (rw-r--r--).
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max_turns: 10
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context_refs: ['task_003']
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</task_create>
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```
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---
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### 📁 **Serving**
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- ✅ **vLLM:** `vllm serve Danau5tin/Orca-Agent-v0.1`
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- ✅ **SGLang:** `python -m sglang.launch_server --model-path Danau5tin/Orca-Agent-v0.1`
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---
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### 🌐 **Learn More**
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- **Training & Code:** [GitHub - Orca-Agent-RL](https://github.com/Danau5tin/Orca-Agent-RL)
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- **Orchestration Framework:** [multi-agent-coding-system](https://github.com/Danau5tin/multi-agent-coding-system)
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---
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> ✅ *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.*
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overrides:
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parameters:
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model: Orca-Agent-v0.1.i1-Q4_K_M.gguf
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files:
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- filename: Orca-Agent-v0.1.i1-Q4_K_M.gguf
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sha256: 05548385128da98431f812d1b6bc3f1bff007a56a312dc98d9111b5fb51e1751
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uri: huggingface://mradermacher/Orca-Agent-v0.1-i1-GGUF/Orca-Agent-v0.1.i1-Q4_K_M.gguf

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