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mradermacher/gemma-1.1-2b-it-i1-gguf IQ3_S GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

mradermacher/gemma-1.1-2b-it-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/google/gemma-1.1-2b-it static quants are available at https://huggingface.co/mradermacher/gemma-1.1-2b-it-GGUF

transformersggufenbase_model:google/gemma-1.1-2b-itbase_model:quantized:google/gemma-1.1-2b-itlicense:gemmaendpoints_compatibleregion:usimatrixconversational
mradermacher/gemma-1.1-2b-it-i1-gguf visual
Downloads
93
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

24 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
gemma-1.1-2b-it.i1-IQ1_M.gguf GGUF IQ1_M 776.14 MB Download
gemma-1.1-2b-it.i1-IQ1_S.gguf GGUF IQ1_S 735.24 MB Download
gemma-1.1-2b-it.i1-IQ2_M.gguf GGUF IQ2_M 972.24 MB Download
gemma-1.1-2b-it.i1-IQ2_S.gguf GGUF IQ2_S 917.71 MB Download
gemma-1.1-2b-it.i1-IQ2_XS.gguf GGUF IQ2_XS 901.09 MB Download
gemma-1.1-2b-it.i1-IQ2_XXS.gguf GGUF IQ2_XXS 844.31 MB Download
gemma-1.1-2b-it.i1-IQ3_M.gguf GGUF IQ3_M 1.22 GB Download
gemma-1.1-2b-it.i1-IQ3_S.gguf GGUF IQ3_S 1.20 GB Download
gemma-1.1-2b-it.i1-IQ3_XS.gguf GGUF IQ3_XS 1.16 GB Download
gemma-1.1-2b-it.i1-IQ3_XXS.gguf GGUF IQ3_XXS 1.05 GB Download
gemma-1.1-2b-it.i1-IQ4_XS.gguf GGUF IQ4_XS 1.39 GB Download
gemma-1.1-2b-it.i1-Q2_K.gguf GGUF Q2_K 1.08 GB Download
gemma-1.1-2b-it.i1-Q3_K_L.gguf GGUF Q3_K_L 1.36 GB Download
gemma-1.1-2b-it.i1-Q3_K_M.gguf GGUF Q3_K_M 1.29 GB Download
gemma-1.1-2b-it.i1-Q3_K_S.gguf GGUF Q3_K_S 1.20 GB Download
gemma-1.1-2b-it.i1-Q4_0.gguf GGUF 1.45 GB Download
gemma-1.1-2b-it.i1-Q4_0_4_4.gguf GGUF 1.44 GB Download
gemma-1.1-2b-it.i1-Q4_0_4_8.gguf GGUF 1.44 GB Download
gemma-1.1-2b-it.i1-Q4_0_8_8.gguf GGUF 1.44 GB Download
gemma-1.1-2b-it.i1-Q4_K_M.gguf GGUF Q4_K_M 1.52 GB Download
gemma-1.1-2b-it.i1-Q4_K_S.gguf GGUF Q4_K_S 1.45 GB Download
gemma-1.1-2b-it.i1-Q5_K_M.gguf GGUF Q5_K_M 1.71 GB Download
gemma-1.1-2b-it.i1-Q5_K_S.gguf GGUF Q5_K_S 1.68 GB Download
gemma-1.1-2b-it.i1-Q6_K.gguf GGUF Q6_K 1.92 GB Download

Model Details Live

Model Slug
mradermacher/gemma-1.1-2b-it-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-11-16
Last Modified
2024-11-16
Gated
No
Private
No
HF SHA
113cc2e11038ac1e9f62a24ed43e6d73c412aead
License
gemma
Language
en
Base Model
google/gemma-1.1-2b-it

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "google/gemma-1.1-2b-it",
    "extra_gated_button_content": "Acknowledge license",
    "extra_gated_heading": "Access Gemma on Hugging Face",
    "extra_gated_prompt": "To access Gemma on Hugging Face, you’re required to review and agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging Face and click below. Requests are processed immediately.",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "gemma",
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "google/gemma-1.1-2b-it",
      "extra_gated_button_content": "Acknowledge license",
      "extra_gated_heading": "Access Gemma on Hugging Face",
      "extra_gated_prompt": "To access Gemma on Hugging Face, you’re required to review and",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "gemma",
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/google/gemma-1.1-2b-it  static quants are available at https://huggingface.co/mradermacher/gemma-1.1-2b-it-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: google/gemma-1.1-2b-it\nextra_gated_button_content: Acknowledge license\nextra_gated_heading: Access Gemma on Hugging Face\nextra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and\n  agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging\n  Face and click below. Requests are processed immediately.\nlanguage:\n- en\nlibrary_name: transformers\nlicense: gemma\nquantized_by: mradermacher\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/google/gemma-1.1-2b-it\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/gemma-1.1-2b-it-GGUF\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-IQ1_S.gguf) | i1-IQ1_S | 0.9 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-IQ1_M.gguf) | i1-IQ1_M | 0.9 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-IQ2_XS.gguf) | i1-IQ2_XS | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-IQ2_S.gguf) | i1-IQ2_S | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-IQ2_M.gguf) | i1-IQ2_M | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 1.2 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-Q2_K.gguf) | i1-Q2_K | 1.3 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-IQ3_XS.gguf) | i1-IQ3_XS | 1.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-Q3_K_S.gguf) | i1-Q3_K_S | 1.4 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-IQ3_S.gguf) | i1-IQ3_S | 1.4 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-IQ3_M.gguf) | i1-IQ3_M | 1.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-Q3_K_M.gguf) | i1-Q3_K_M | 1.5 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.6 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 1.7 | fast on arm, low quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 1.7 | fast on arm+i8mm, low quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 1.7 | fast on arm+sve, low quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-Q4_0.gguf) | i1-Q4_0 | 1.7 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.7 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-1.1-2b-it-i1-GGUF/resolve/main/gemma-1.1-2b-it.i1-Q6_K.gguf) | i1-Q6_K | 2.2 | practically like static Q6_K |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "en",
    "base_model:google/gemma-1.1-2b-it",
    "base_model:quantized:google/gemma-1.1-2b-it",
    "license:gemma",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 93,
  "gated": false,
  "private": false,
  "last_modified": "2024-11-16T21:24:12.000Z",
  "created_at": "2024-11-16T20:17:14.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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