cygnisai/cygnis-alpha-1.7b-v0.1-gguf overview

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      "license": "apache-2.0",
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    "readme_markdown": "---\nlicense: apache-2.0\nbase_model: cygnisai/Cygnis-Alpha-1.7B-v0.1\nlanguage:\n- en\nlibrary_name: transformers\npipeline_tag: text-generation\nextra_gated_heading: Access to Cygnis Alpha Sovereign AI\nextra_gated_prompt: >-\n  By requesting access, you acknowledge that Cygnis Alpha is a research project \n  by Simonc-44. You commit to using it ethically and responsibly.\nextra_gated_button_content: Accept and Request Access\nextra_gated_fields:\n  Company/Organization: text\n  Usage_Intent:\n    type: select\n    options:\n    - Personal Research\n    - Education\n    - Creative Project\n    - Professional Testing\ntags:\n- unsloth\n- gguf\n- cygnis-alpha\n- smollm2\n- instruct\n- ollama\n---\n\n# Cygnis Alpha 1.7B v0.1 - GGUF Model Card\n\n<div align=\"center\" style=\"background:#06090f; border-radius:14px; border:1px solid #0f1e30; overflow:hidden; margin-bottom:20px;\">\n  <img src=\"https://huggingface.co/cygnisai/Cygnis-Alpha-1.7B-v0.1-GGUF/resolve/main/Cygnis-Alpha-1.7B-v1.png\" width=\"100%\" style=\"display:block;\">\n</div>\n\n## Quick Start with Ollama\n\nYou can now run **Cygnis Alpha** directly via Ollama for an ultra-fast and simplified local experience.\n\n[![Ollama](https://img.shields.io/badge/Ollama-Available-blue?style=for-the-badge&logo=ollama)](https://ollama.com/CygnisAI/Cygnis-Alpha-1.7B-v0.1)\n\n**Run it instantly via your terminal:**\n\n```bash\nollama run CygnisAI/Cygnis-Alpha-1.7B-v0.1\n```\n\n---\n\n## 1. Model Overview\n**Cygnis Alpha 1.7B v0.1** is a Small Language Model (SLM) optimized for ultra-fast local inference on CPUs. Based on the **SmolLM2** architecture, it has been fine-tuned by Simonc-44 to develop a strong system identity and high efficiency.\n\nThis **GGUF** version is specifically designed to run on consumer-grade hardware (laptops, mini-PCs) without requiring a dedicated GPU.\n\n* **Developer:** Simonc-44 / CygnisAI\n* **Architecture:** SmolLM2 (Llama-like)\n* **Format:** GGUF (Available quantizations: Q4_K_M, Q8_0)\n* **Capabilities:** Chat, Instruction-following, Personal Assistant.\n\n## 2. Technical Specifications\n\n| Feature | Detail |\n| :--- | :--- |\n| **Model Type** | Causal Language Model |\n| **Parameters** | 1.7B |\n| **Context Length** | 2048 tokens |\n| **Quantization** | Q4_K_M (4-bit) & Q8_0 (8-bit) |\n| **Training Precision** | bfloat16 |\n\n### Target Performance\n* **Inference Speed (CPU):** ~30-50 tokens/sec (on standard processors).\n* **Memory Footprint:** ~1.5 GB RAM minimum required (Q4_K_M version).\n\n---\n\n## 3. Usage & Implementation\n\n### System Prompt Configuration (Recommended)\nTo ensure the model adheres to its identity, use the following template:\n> \"You are Cygnis Alpha, a sovereign artificial intelligence designed by Simonc-44. You are polite, fast, and concise.\"\n\n### Python Integration (Llama-cpp-python)\n```python\nfrom llama_cpp import Llama\n\nllm = Llama(\n    model_path=\"./models/cygnis-alpha-1.7b-v0.1.Q4_K_M.gguf\",\n    n_ctx=2048,\n    n_threads=4, # Adjust based on your CPU cores\n    chat_format=\"chatml\"\n)\n\n# Example Request\nresponse = llm.create_chat_completion(\n    messages=[{\"role\": \"user\", \"content\": \"Hello Cygnis, introduce yourself.\"}]\n)\nprint(response[\"choices\"][0][\"message\"][\"content\"])\n```\n\n---\n\n## 4. Evaluation & Improvements\n\nCygnis Alpha v0.1 brings the following improvements over previous iterations:\n\n* **Stable Identity:** Reduced hallucinations regarding the model's origin and its creator, Simonc-44.\n* **CPU Optimization:** Near-instant response times even on older generation processors.\n* **Formatting:** Improved handling of bullet points and structured responses.\n\n## 5. Ethics & Limitations\n\n### Limitations\n* **Factual Knowledge:** Due to its reduced size (1.7B), the model may make mistakes on highly specific historical or technical facts.\n* **Complex Reasoning:** For advanced mathematical or logic tasks, the Cygnis Beta range is recommended.\n\n### Security Policy\nThe use of Cygnis Alpha for illegal or malicious activities is strictly prohibited. The model is provided under the Apache 2.0 license.\n\n---\n\n## 6. Citation \n\n```bibtex\n@misc{allal2025smollm2smolgoesbig,\n      title={SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model}, \n      author={Loubna Ben Allal and others},\n      year={2025},\n      eprint={2502.02737},\n      archivePrefix={arXiv},\n}\n",
    "related_quantizations": []
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    "transformers",
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    "smollm2",
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    "text-generation",
    "en",
    "arxiv:2502.02737",
    "base_model:cygnisai/Cygnis-Alpha-1.7B-v0.1",
    "base_model:quantized:cygnisai/Cygnis-Alpha-1.7B-v0.1",
    "license:apache-2.0",
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  "last_modified": "2026-03-29T00:06:51.000Z",
  "created_at": "2026-03-28T23:27:39.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
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