featherless-ai-quants/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-gguf overview

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    "pipeline_tag": "text-generation",
    "quantized_by": "featherless-ai-quants",
    "frontmatter": {
      "base_model": "richmondsin/finetuned-gemma-2-2b-output-layer-20-4k-7",
      "pipeline_tag": "text-generation",
      "quantized_by": "featherless-ai-quants"
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    "hero_image_url": "./featherless-quants.png",
    "summary": "!Featherless AI Quants *Optimized GGUF quantization files for enhanced model performance* > Powered by Featherless AI - run any model you'd like for a simple small fee. ---",
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    "readme_markdown": "---\nbase_model: richmondsin/finetuned-gemma-2-2b-output-layer-20-4k-7\npipeline_tag: text-generation\nquantized_by: featherless-ai-quants\n---\n\n# richmondsin/finetuned-gemma-2-2b-output-layer-20-4k-7 GGUF Quantizations 🚀\n\n![Featherless AI Quants](./featherless-quants.png)\n\n*Optimized GGUF quantization files for enhanced model performance*\n\n> Powered by [Featherless AI](https://featherless.ai) - run any model you'd like for a simple small fee.\n---\n\n## Available Quantizations 📊\n\n| Quantization Type | File | Size |\n|-------------------|------|------|\n| IQ4_XS | [richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-IQ4_XS.gguf](https://huggingface.co/featherless-ai-quants/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-GGUF/blob/main/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-IQ4_XS.gguf) | 1503.18 MB |\n| Q2_K | [richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q2_K.gguf](https://huggingface.co/featherless-ai-quants/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-GGUF/blob/main/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q2_K.gguf) | 1172.86 MB |\n| Q3_K_L | [richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q3_K_L.gguf](https://huggingface.co/featherless-ai-quants/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-GGUF/blob/main/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q3_K_L.gguf) | 1478.61 MB |\n| Q3_K_M | [richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q3_K_M.gguf](https://huggingface.co/featherless-ai-quants/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-GGUF/blob/main/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q3_K_M.gguf) | 1393.95 MB |\n| Q3_K_S | [richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q3_K_S.gguf](https://huggingface.co/featherless-ai-quants/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-GGUF/blob/main/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q3_K_S.gguf) | 1297.63 MB |\n| Q4_K_M | [richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q4_K_M.gguf](https://huggingface.co/featherless-ai-quants/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-GGUF/blob/main/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q4_K_M.gguf) | 1629.43 MB |\n| Q4_K_S | [richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q4_K_S.gguf](https://huggingface.co/featherless-ai-quants/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-GGUF/blob/main/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q4_K_S.gguf) | 1562.74 MB |\n| Q5_K_M | [richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q5_K_M.gguf](https://huggingface.co/featherless-ai-quants/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-GGUF/blob/main/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q5_K_M.gguf) | 1834.18 MB |\n| Q5_K_S | [richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q5_K_S.gguf](https://huggingface.co/featherless-ai-quants/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-GGUF/blob/main/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q5_K_S.gguf) | 1795.33 MB |\n| Q6_K | [richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q6_K.gguf](https://huggingface.co/featherless-ai-quants/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-GGUF/blob/main/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q6_K.gguf) | 2051.73 MB |\n| Q8_0 | [richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q8_0.gguf](https://huggingface.co/featherless-ai-quants/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-GGUF/blob/main/richmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-Q8_0.gguf) | 2655.50 MB |\n\n\n---\n\n## ⚡ Powered by [Featherless AI](https://featherless.ai)\n\n### Key Features\n\n- 🔥 **Instant Hosting** - Deploy any Llama model on HuggingFace instantly\n- 🛠️ **Zero Infrastructure** - No server setup or maintenance required\n- 📚 **Vast Compatibility** - Support for 2400+ models and counting\n- 💎 **Affordable Pricing** - Starting at just $10/month\n\n---\n\n**Links:**  \n[Get Started](https://featherless.ai) | [Documentation](https://featherless.ai/docs) | [Models](https://featherless.ai/models)",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "text-generation",
    "base_model:richmondsin/finetuned-gemma-2-2b-output-layer-20-4k-7",
    "base_model:quantized:richmondsin/finetuned-gemma-2-2b-output-layer-20-4k-7",
    "endpoints_compatible",
    "region:us"
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  "likes": 0,
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  "last_modified": "2025-07-01T08:19:52.000Z",
  "created_at": "2025-07-01T08:16:25.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
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