duyntnet/pydevmini1-imatrix-gguf overview

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      "en"
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    "pipeline_tag": "text-generation",
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    "tags": [
      "transformers",
      "gguf",
      "imatrix",
      "pydevmini1"
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    "frontmatter": {
      "license": "other",
      "language": [
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      "pipeline_tag": "text-generation",
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      "tags": [
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    "readme_markdown": "---\nlicense: other\nlanguage:\n- en\npipeline_tag: text-generation\ninference: false\ntags:\n- transformers\n- gguf\n- imatrix\n- pydevmini1\n---\n\nQuantizations of https://huggingface.co/bralynn/pydevmini1\n\n\n### Open source inference clients/UIs\n* [llama.cpp](https://github.com/ggerganov/llama.cpp)\n* [KoboldCPP](https://github.com/LostRuins/koboldcpp)\n* [text-generation-webui](https://github.com/oobabooga/text-generation-webui)\n* [jan](https://github.com/menloresearch/jan)\n* [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp)\n* [croco.cpp](https://github.com/Nexesenex/croco.cpp)\n\n### Closed source inference clients/UIs\n* [LM Studio](https://lmstudio.ai/)\n* More will be added...\n---\n\n# From original readme\n\n## 🚀 Try It Yourself (for free)\n\nDon't just take my word for it. Test the model right now under the exact conditions shown in the video demonstration.\n\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1c8WCvsVovCjIyqPcwORX4c_wQ7NyIrTP?usp=sharing)\n\n---\n\n## Model Details\n*   **Model Type:** Causal Language Model\n*   **Number of Parameters:** 4.0B\n*   **Number of Parameters (Non-Embedding):** 3.6B\n*   **Number of Layers:** 36\n*   **Number of Attention Heads (GQA):** 32 for Q, 8 for KV\n*   **Context Length:** 262,144 tokens (native)\n\n### Recommended Inference Parameters\n\nFor best results, I suggest using the following generation parameters:\n*   **Temperature:** 0.7\n*   **Top P:** 0.8\n*   **Top K:** 20\n*   **Min P:** 0.0",
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    "conversational"
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  "last_modified": "2025-09-12T06:56:24.000Z",
  "created_at": "2025-09-12T06:24:03.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
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  "author": "duyntnet",
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