matrixportalx/aya-medikal-v2-gguf overview

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    "library_name": "transformers",
    "license": "apache-2.0",
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      "base_model": "matrixportal/Aya-Test-Model-V2",
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    "readme_markdown": "---\nbase_model: matrixportal/Aya-Test-Model-V2\nlanguage:\n- tr\n- en\nlibrary_name: transformers\nlicense: apache-2.0\ntags:\n- matrixportal\ninference: false\ndatasets:\n- matrixportal/medikal_data\n---\n\n# Aya-Medikal-V2 GGUF Quantized Models\n\n## Technical Details\n- **Quantization Tool:** llama.cpp\n- **Version:** version: 5192 (d5fe4e81)\n\n## Model Information\n- **Base Model:** [matrixportal/Aya-Medikal-V2](https://huggingface.co/matrixportal/Aya-Medikal-V2)\n- **Quantized by:** [matrixportal](https://huggingface.co/matrixportal)\n\n## Available Files\n| 🚀 Download | 🔢 Type | 📝 Description |\n|------------|---------|---------------|\n| [Download](https://huggingface.co/matrixportal/Aya-Medikal-V2-GGUF/resolve/main/aya-medikal-v2.q2_k.gguf) | Q2 K | Tiny size, lowest quality (emergency use only) |\n| [Download](https://huggingface.co/matrixportal/Aya-Medikal-V2-GGUF/resolve/main/aya-medikal-v2.q3_k_s.gguf) | Q3 K S | Very small, low quality (basic tasks) |\n| [Download](https://huggingface.co/matrixportal/Aya-Medikal-V2-GGUF/resolve/main/aya-medikal-v2.q3_k_m.gguf) | Q3 K M | Small, acceptable quality |\n| [Download](https://huggingface.co/matrixportal/Aya-Medikal-V2-GGUF/resolve/main/aya-medikal-v2.q3_k_l.gguf) | Q3 K L | Small, better than Q3_K_M (good for low RAM) |\n| [Download](https://huggingface.co/matrixportal/Aya-Medikal-V2-GGUF/resolve/main/aya-medikal-v2.q4_0.gguf) | Q4 0 | Standard 4-bit (fast on ARM) |\n| [Download](https://huggingface.co/matrixportal/Aya-Medikal-V2-GGUF/resolve/main/aya-medikal-v2.q4_k_s.gguf) | Q4 K S | 4-bit optimized (good space savings) |\n| [Download](https://huggingface.co/matrixportal/Aya-Medikal-V2-GGUF/resolve/main/aya-medikal-v2.q4_k_m.gguf) | Q4 K M | 4-bit balanced (recommended default) |\n| [Download](https://huggingface.co/matrixportal/Aya-Medikal-V2-GGUF/resolve/main/aya-medikal-v2.q5_0.gguf) | Q5 0 | 5-bit high quality |\n| [Download](https://huggingface.co/matrixportal/Aya-Medikal-V2-GGUF/resolve/main/aya-medikal-v2.q5_k_s.gguf) | Q5 K S | 5-bit optimized |\n| [Download](https://huggingface.co/matrixportal/Aya-Medikal-V2-GGUF/resolve/main/aya-medikal-v2.q5_k_m.gguf) | Q5 K M | 5-bit best (recommended HQ option) |\n| [Download](https://huggingface.co/matrixportal/Aya-Medikal-V2-GGUF/resolve/main/aya-medikal-v2.q6_k.gguf) | Q6 K | 6-bit near-perfect (premium quality) |\n| [Download](https://huggingface.co/matrixportal/Aya-Medikal-V2-GGUF/resolve/main/aya-medikal-v2.q8_0.gguf) | Q8 0 | 8-bit maximum (overkill for most) |\n| [Download](https://huggingface.co/matrixportal/Aya-Medikal-V2-GGUF/resolve/main/aya-medikal-v2.f16.gguf) | F16 | Full precision (maximum accuracy) |\n\n💡 **Q4 K M** provides the best balance for most use cases",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "matrixportal",
    "tr",
    "en",
    "dataset:matrixportal/medikal_data",
    "base_model:matrixportalx/Aya-Test-Model-V2",
    "base_model:quantized:matrixportalx/Aya-Test-Model-V2",
    "license:apache-2.0",
    "region:us",
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  "last_modified": "2025-04-26T14:26:24.000Z",
  "created_at": "2025-04-26T02:03:09.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
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  "createdAt": "2025-04-26T02:03:09.000Z",
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