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mradermacher/llama-33b-hf-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/pinkmanlove/llama-33b-hf static quants are available at https://huggingface.co/mradermacher/llama-33b-hf-GGUF

transformersggufenbase_model:pinkmanlove/llama-33b-hfbase_model:quantized:pinkmanlove/llama-33b-hflicense:apache-2.0endpoints_compatibleregion:usimatrix
mradermacher/llama-33b-hf-i1-gguf visual
Downloads
124
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

23 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
llama-33b-hf.i1-IQ1_M.gguf GGUF IQ1_M 7.20 GB Download
llama-33b-hf.i1-IQ1_S.gguf GGUF IQ1_S 6.63 GB Download
llama-33b-hf.i1-IQ2_M.gguf GGUF IQ2_M 10.43 GB Download
llama-33b-hf.i1-IQ2_S.gguf GGUF IQ2_S 9.67 GB Download
llama-33b-hf.i1-IQ2_XS.gguf GGUF IQ2_XS 8.97 GB Download
llama-33b-hf.i1-IQ2_XXS.gguf GGUF IQ2_XXS 8.14 GB Download
llama-33b-hf.i1-IQ3_M.gguf GGUF IQ3_M 13.86 GB Download
llama-33b-hf.i1-IQ3_S.gguf GGUF IQ3_S 13.10 GB Download
llama-33b-hf.i1-IQ3_XS.gguf GGUF IQ3_XS 12.40 GB Download
llama-33b-hf.i1-IQ3_XXS.gguf GGUF IQ3_XXS 11.48 GB Download
llama-33b-hf.i1-IQ4_XS.gguf GGUF IQ4_XS 16.15 GB Download
llama-33b-hf.i1-Q2_K.gguf GGUF Q2_K 11.22 GB Download
llama-33b-hf.i1-Q2_K_S.gguf GGUF Q2_K_S 10.22 GB Download
llama-33b-hf.i1-Q3_K_L.gguf GGUF Q3_K_L 16.09 GB Download
llama-33b-hf.i1-Q3_K_M.gguf GGUF Q3_K_M 14.69 GB Download
llama-33b-hf.i1-Q3_K_S.gguf GGUF Q3_K_S 13.10 GB Download
llama-33b-hf.i1-Q4_0.gguf GGUF 17.14 GB Download
llama-33b-hf.i1-Q4_1.gguf GGUF 18.98 GB Download
llama-33b-hf.i1-Q4_K_M.gguf GGUF Q4_K_M 18.27 GB Download
llama-33b-hf.i1-Q4_K_S.gguf GGUF Q4_K_S 17.21 GB Download
llama-33b-hf.i1-Q5_K_M.gguf GGUF Q5_K_M 21.46 GB Download
llama-33b-hf.i1-Q5_K_S.gguf GGUF Q5_K_S 20.86 GB Download
llama-33b-hf.i1-Q6_K.gguf GGUF Q6_K 24.85 GB Download

Model Details Live

Model Slug
mradermacher/llama-33b-hf-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-04-22
Last Modified
2025-04-23
Gated
No
Private
No
HF SHA
b1bb5be3bd6c8a1dde102b3c6cec46a9d9b20dc9
License
apache-2.0
Language
en
Base Model
pinkmanlove/llama-33b-hf

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "pinkmanlove/llama-33b-hf",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "pinkmanlove/llama-33b-hf",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/pinkmanlove/llama-33b-hf  static quants are available at https://huggingface.co/mradermacher/llama-33b-hf-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: pinkmanlove/llama-33b-hf\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\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/pinkmanlove/llama-33b-hf\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/llama-33b-hf-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/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-IQ1_S.gguf) | i1-IQ1_S | 7.2 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-IQ1_M.gguf) | i1-IQ1_M | 7.8 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 8.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-IQ2_XS.gguf) | i1-IQ2_XS | 9.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-IQ2_S.gguf) | i1-IQ2_S | 10.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-Q2_K_S.gguf) | i1-Q2_K_S | 11.1 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-IQ2_M.gguf) | i1-IQ2_M | 11.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-Q2_K.gguf) | i1-Q2_K | 12.1 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 12.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-IQ3_XS.gguf) | i1-IQ3_XS | 13.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-IQ3_S.gguf) | i1-IQ3_S | 14.2 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-Q3_K_S.gguf) | i1-Q3_K_S | 14.2 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-IQ3_M.gguf) | i1-IQ3_M | 15.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-Q3_K_M.gguf) | i1-Q3_K_M | 15.9 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-Q3_K_L.gguf) | i1-Q3_K_L | 17.4 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-IQ4_XS.gguf) | i1-IQ4_XS | 17.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-Q4_0.gguf) | i1-Q4_0 | 18.5 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-Q4_K_S.gguf) | i1-Q4_K_S | 18.6 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-Q4_K_M.gguf) | i1-Q4_K_M | 19.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-Q4_1.gguf) | i1-Q4_1 | 20.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-Q5_K_S.gguf) | i1-Q5_K_S | 22.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-Q5_K_M.gguf) | i1-Q5_K_M | 23.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/llama-33b-hf-i1-GGUF/resolve/main/llama-33b-hf.i1-Q6_K.gguf) | i1-Q6_K | 26.8 | 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:pinkmanlove/llama-33b-hf",
    "base_model:quantized:pinkmanlove/llama-33b-hf",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ],
  "likes": 0,
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  "gated": false,
  "private": false,
  "last_modified": "2025-04-23T04:33:47.000Z",
  "created_at": "2025-04-22T23:12:08.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
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Source payload excerpt (from Hugging Face API)
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