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mradermacher/sambalingo-japanese-base-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/sambanovasystems/SambaLingo-Japanese-Base static quants are available at https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-GGUF

transformersggufjaendataset:uonlp/CulturaXbase_model:sambanovasystems/SambaLingo-Japanese-Basebase_model:quantized:sambanovasystems/SambaLingo-Japanese-Baselicense:llama2endpoints_compatibleregion:usimatrix
mradermacher/sambalingo-japanese-base-i1-gguf visual
Downloads
134
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

25 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
SambaLingo-Japanese-Base.i1-IQ1_M.gguf GGUF IQ1_M 1.64 GB Download
SambaLingo-Japanese-Base.i1-IQ1_S.gguf GGUF IQ1_S 1.52 GB Download
SambaLingo-Japanese-Base.i1-IQ2_M.gguf GGUF IQ2_M 2.31 GB Download
SambaLingo-Japanese-Base.i1-IQ2_S.gguf GGUF IQ2_S 2.15 GB Download
SambaLingo-Japanese-Base.i1-IQ2_XS.gguf GGUF IQ2_XS 1.99 GB Download
SambaLingo-Japanese-Base.i1-IQ2_XXS.gguf GGUF IQ2_XXS 1.83 GB Download
SambaLingo-Japanese-Base.i1-IQ3_M.gguf GGUF IQ3_M 3.02 GB Download
SambaLingo-Japanese-Base.i1-IQ3_S.gguf GGUF IQ3_S 2.87 GB Download
SambaLingo-Japanese-Base.i1-IQ3_XS.gguf GGUF IQ3_XS 2.73 GB Download
SambaLingo-Japanese-Base.i1-IQ3_XXS.gguf GGUF IQ3_XXS 2.52 GB Download
SambaLingo-Japanese-Base.i1-IQ4_XS.gguf GGUF IQ4_XS 3.50 GB Download
SambaLingo-Japanese-Base.i1-Q2_K.gguf GGUF Q2_K 2.47 GB Download
SambaLingo-Japanese-Base.i1-Q2_K_S.gguf GGUF Q2_K_S 2.27 GB Download
SambaLingo-Japanese-Base.i1-Q3_K_L.gguf GGUF Q3_K_L 3.47 GB Download
SambaLingo-Japanese-Base.i1-Q3_K_M.gguf GGUF Q3_K_M 3.19 GB Download
SambaLingo-Japanese-Base.i1-Q3_K_S.gguf GGUF Q3_K_S 2.87 GB Download
SambaLingo-Japanese-Base.i1-Q4_0.gguf GGUF 3.71 GB Download
SambaLingo-Japanese-Base.i1-Q4_0_4_4.gguf GGUF 3.70 GB Download
SambaLingo-Japanese-Base.i1-Q4_0_4_8.gguf GGUF 3.70 GB Download
SambaLingo-Japanese-Base.i1-Q4_0_8_8.gguf GGUF 3.70 GB Download
SambaLingo-Japanese-Base.i1-Q4_K_M.gguf GGUF Q4_K_M 3.94 GB Download
SambaLingo-Japanese-Base.i1-Q4_K_S.gguf GGUF Q4_K_S 3.73 GB Download
SambaLingo-Japanese-Base.i1-Q5_K_M.gguf GGUF Q5_K_M 4.60 GB Download
SambaLingo-Japanese-Base.i1-Q5_K_S.gguf GGUF Q5_K_S 4.48 GB Download
SambaLingo-Japanese-Base.i1-Q6_K.gguf GGUF Q6_K 5.31 GB Download

Model Details Live

Model Slug
mradermacher/sambalingo-japanese-base-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-12-11
Last Modified
2024-12-11
Gated
No
Private
No
HF SHA
e52fd78f1a2e9c1dd014c0607fa321c0d03a25c7
License
llama2
Language
ja, en
Base Model
sambanovasystems/SambaLingo-Japanese-Base

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "sambanovasystems/SambaLingo-Japanese-Base",
    "datasets": [
      "uonlp/CulturaX"
    ],
    "language": [
      "ja",
      "en"
    ],
    "library_name": "transformers",
    "license": "llama2",
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "sambanovasystems/SambaLingo-Japanese-Base",
      "datasets": [
        "uonlp/CulturaX"
      ],
      "language": [
        "ja",
        "en"
      ],
      "library_name": "transformers",
      "license": "llama2",
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/sambanovasystems/SambaLingo-Japanese-Base  static quants are available at https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: sambanovasystems/SambaLingo-Japanese-Base\ndatasets:\n- uonlp/CulturaX\nlanguage:\n- ja\n- en\nlibrary_name: transformers\nlicense: llama2\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/sambanovasystems/SambaLingo-Japanese-Base\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-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/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-IQ1_S.gguf) | i1-IQ1_S | 1.7 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-IQ1_M.gguf) | i1-IQ1_M | 1.9 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-IQ2_S.gguf) | i1-IQ2_S | 2.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q2_K_S.gguf) | i1-Q2_K_S | 2.5 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-IQ2_M.gguf) | i1-IQ2_M | 2.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-IQ3_S.gguf) | i1-IQ3_S | 3.2 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.2 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-IQ3_M.gguf) | i1-IQ3_M | 3.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.5 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.8 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-IQ4_XS.gguf) | i1-IQ4_XS | 3.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 4.1 | fast on arm, low quality |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 4.1 | fast on arm+i8mm, low quality |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 4.1 | fast on arm+sve, low quality |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q4_0.gguf) | i1-Q4_0 | 4.1 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.1 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q5_K_S.gguf) | i1-Q5_K_S | 4.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/SambaLingo-Japanese-Base-i1-GGUF/resolve/main/SambaLingo-Japanese-Base.i1-Q6_K.gguf) | i1-Q6_K | 5.8 | 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",
    "ja",
    "en",
    "dataset:uonlp/CulturaX",
    "base_model:sambanovasystems/SambaLingo-Japanese-Base",
    "base_model:quantized:sambanovasystems/SambaLingo-Japanese-Base",
    "license:llama2",
    "endpoints_compatible",
    "region:us",
    "imatrix"
  ],
  "likes": 0,
  "downloads": 134,
  "gated": false,
  "private": false,
  "last_modified": "2024-12-11T12:00:09.000Z",
  "created_at": "2024-12-11T08:30:08.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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  "id": "mradermacher/SambaLingo-Japanese-Base-i1-GGUF",
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  "sha": "e52fd78f1a2e9c1dd014c0607fa321c0d03a25c7",
  "createdAt": "2024-12-11T08:30:08.000Z",
  "lastModified": "2024-12-11T12:00:09.000Z",
  "author": "mradermacher",
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  "siblings_count": 28
}