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mradermacher/malaysian-llama-3.2-1b-instruct-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/mesolitica/Malaysian-Llama-3.2-1B-Instruct static quants are available at https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-GGUF

transformersggufmsenzhtabase_model:mesolitica/Malaysian-Llama-3.2-1B-Instructbase_model:quantized:mesolitica/Malaysian-Llama-3.2-1B-Instructendpoints_compatibleregion:usimatrixconversational
mradermacher/malaysian-llama-3.2-1b-instruct-i1-gguf visual
Downloads
86
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

24 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Malaysian-Llama-3.2-1B-Instruct.i1-IQ1_M.gguf GGUF IQ1_M 476.64 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-IQ1_S.gguf GGUF IQ1_S 457.52 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-IQ2_M.gguf GGUF IQ2_M 599.21 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-IQ2_S.gguf GGUF IQ2_S 573.71 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-IQ2_XS.gguf GGUF IQ2_XS 536.02 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-IQ2_XXS.gguf GGUF IQ2_XXS 508.52 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-IQ3_M.gguf GGUF IQ3_M 734.48 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-IQ3_S.gguf GGUF IQ3_S 721.73 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-IQ3_XS.gguf GGUF IQ3_XS 699.98 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-IQ3_XXS.gguf GGUF IQ3_XXS 643.71 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-IQ4_NL.gguf GGUF IQ4_NL 878.12 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-IQ4_XS.gguf GGUF IQ4_XS 841.79 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-Q2_K.gguf GGUF Q2_K 636.16 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-Q2_K_S.gguf GGUF Q2_K_S 611.16 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-Q3_K_L.gguf GGUF Q3_K_L 806.23 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-Q3_K_M.gguf GGUF Q3_K_M 766.48 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-Q3_K_S.gguf GGUF Q3_K_S 719.60 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-Q4_0.gguf GGUF 878.12 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-Q4_1.gguf GGUF 949.78 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-Q4_K_M.gguf GGUF Q4_K_M 911.18 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-Q4_K_S.gguf GGUF Q4_K_S 880.62 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-Q5_K_M.gguf GGUF Q5_K_M 1.02 GB Download
Malaysian-Llama-3.2-1B-Instruct.i1-Q5_K_S.gguf GGUF Q5_K_S 1023.43 MB Download
Malaysian-Llama-3.2-1B-Instruct.i1-Q6_K.gguf GGUF Q6_K 1.15 GB Download

Model Details Live

Model Slug
mradermacher/malaysian-llama-3.2-1b-instruct-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-05-11
Last Modified
2025-05-11
Gated
No
Private
No
HF SHA
708fc6468d1bf21d9b155eaffc0a91252cc6387f
License
Unknown
Language
ms, en, zh, ta
Base Model
mesolitica/Malaysian-Llama-3.2-1B-Instruct

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "mesolitica/Malaysian-Llama-3.2-1B-Instruct",
    "language": [
      "ms",
      "en",
      "zh",
      "ta"
    ],
    "library_name": "transformers",
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "mesolitica/Malaysian-Llama-3.2-1B-Instruct",
      "language": [
        "ms",
        "en",
        "zh",
        "ta"
      ],
      "library_name": "transformers",
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/mesolitica/Malaysian-Llama-3.2-1B-Instruct  static quants are available at https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: mesolitica/Malaysian-Llama-3.2-1B-Instruct\nlanguage:\n- ms\n- en\n- zh\n- ta\nlibrary_name: transformers\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/mesolitica/Malaysian-Llama-3.2-1B-Instruct\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-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/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-IQ1_S.gguf) | i1-IQ1_S | 0.6 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.7 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.9 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-IQ3_S.gguf) | i1-IQ3_S | 0.9 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-IQ3_M.gguf) | i1-IQ3_M | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.9 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-Q3_K_L.gguf) | i1-Q3_K_L | 0.9 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.0 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-Q4_0.gguf) | i1-Q4_0 | 1.0 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.0 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-Q4_1.gguf) | i1-Q4_1 | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF/resolve/main/Malaysian-Llama-3.2-1B-Instruct.i1-Q6_K.gguf) | i1-Q6_K | 1.3 | 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",
    "ms",
    "en",
    "zh",
    "ta",
    "base_model:mesolitica/Malaysian-Llama-3.2-1B-Instruct",
    "base_model:quantized:mesolitica/Malaysian-Llama-3.2-1B-Instruct",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 86,
  "gated": false,
  "private": false,
  "last_modified": "2025-05-11T12:39:57.000Z",
  "created_at": "2025-05-11T11:49:13.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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  "id": "mradermacher/Malaysian-Llama-3.2-1B-Instruct-i1-GGUF",
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  "sha": "708fc6468d1bf21d9b155eaffc0a91252cc6387f",
  "createdAt": "2025-05-11T11:49:13.000Z",
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  "author": "mradermacher",
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  "siblings_count": 27
}