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mradermacher/ahma-3b-gguf Q5_K_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/ahma-3b-gguf overview

About static quants of https://huggingface.co/Finnish-NLP/Ahma-3B weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

transformersgguffinnishllamafidataset:Finnish-NLP/CulturaX_fi_cleaneddataset:Finnish-NLP/HPLT_1.2_fi_cleaneddataset:Finnish-NLP/wikipedia_20231101_fi_cleaneddataset:Finnish-NLP/Reddit_fi_2006_2022dataset:intfloat/multilingual_cc_newsbase_model:Finnish-NLP/Ahma-3Bbase_model:quantized:Finnish-NLP/Ahma-3Blicense:apache-2.0endpoints_compatibleregion:usconversational
mradermacher/ahma-3b-gguf visual
Downloads
167
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

15 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Ahma-3B.IQ3_M.gguf GGUF IQ3_M 2.07 GB Download
Ahma-3B.IQ3_S.gguf GGUF IQ3_S 2.00 GB Download
Ahma-3B.IQ3_XS.gguf GGUF IQ3_XS 2.00 GB Download
Ahma-3B.IQ4_XS.gguf GGUF IQ4_XS 2.02 GB Download
Ahma-3B.Q2_K.gguf GGUF Q2_K 2.00 GB Download
Ahma-3B.Q3_K_L.gguf GGUF Q3_K_L 2.22 GB Download
Ahma-3B.Q3_K_M.gguf GGUF Q3_K_M 2.15 GB Download
Ahma-3B.Q3_K_S.gguf GGUF Q3_K_S 2.00 GB Download
Ahma-3B.Q4_K_M.gguf GGUF Q4_K_M 2.57 GB Download
Ahma-3B.Q4_K_S.gguf GGUF Q4_K_S 2.41 GB Download
Ahma-3B.Q5_K_M.gguf GGUF Q5_K_M 2.74 GB Download
Ahma-3B.Q5_K_S.gguf GGUF Q5_K_S 2.60 GB Download
Ahma-3B.Q6_K.gguf GGUF Q6_K 3.60 GB Download
Ahma-3B.Q8_0.gguf GGUF 3.60 GB Download
Ahma-3B.f16.gguf GGUF F16 6.77 GB Download

Model Details Live

Model Slug
mradermacher/ahma-3b-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-06-16
Last Modified
2024-06-16
Gated
No
Private
No
HF SHA
fbf34107e67e5c123c45fc82b7238a3096753b7d
License
apache-2.0
Language
fi
Base Model
Finnish-NLP/Ahma-3B

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "Finnish-NLP/Ahma-3B",
    "datasets": [
      "Finnish-NLP/CulturaX_fi_cleaned",
      "Finnish-NLP/HPLT_1.2_fi_cleaned",
      "Finnish-NLP/wikipedia_20231101_fi_cleaned",
      "Finnish-NLP/Reddit_fi_2006_2022",
      "intfloat/multilingual_cc_news"
    ],
    "language": [
      "fi"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "tags": [
      "finnish",
      "llama"
    ],
    "frontmatter": {
      "base_model": "Finnish-NLP/Ahma-3B",
      "datasets": [
        "Finnish-NLP/CulturaX_fi_cleaned",
        "Finnish-NLP/HPLT_1.2_fi_cleaned",
        "Finnish-NLP/wikipedia_20231101_fi_cleaned",
        "Finnish-NLP/Reddit_fi_2006_2022",
        "intfloat/multilingual_cc_news"
      ],
      "language": [
        "fi"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher",
      "tags": [
        "finnish",
        "llama"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/Finnish-NLP/Ahma-3B  weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Finnish-NLP/Ahma-3B\ndatasets:\n- Finnish-NLP/CulturaX_fi_cleaned\n- Finnish-NLP/HPLT_1.2_fi_cleaned\n- Finnish-NLP/wikipedia_20231101_fi_cleaned\n- Finnish-NLP/Reddit_fi_2006_2022\n- intfloat/multilingual_cc_news\nlanguage:\n- fi\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- finnish\n- llama\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\nstatic quants of https://huggingface.co/Finnish-NLP/Ahma-3B\n\n<!-- provided-files -->\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\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/Ahma-3B-GGUF/resolve/main/Ahma-3B.IQ3_S.gguf) | IQ3_S | 2.2 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.IQ3_XS.gguf) | IQ3_XS | 2.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q2_K.gguf) | Q2_K | 2.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q3_K_S.gguf) | Q3_K_S | 2.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.IQ4_XS.gguf) | IQ4_XS | 2.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.IQ3_M.gguf) | IQ3_M | 2.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q3_K_M.gguf) | Q3_K_M | 2.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q3_K_L.gguf) | Q3_K_L | 2.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q4_K_S.gguf) | Q4_K_S | 2.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q4_K_M.gguf) | Q4_K_M | 2.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q5_K_S.gguf) | Q5_K_S | 2.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q5_K_M.gguf) | Q5_K_M | 3.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q6_K.gguf) | Q6_K | 4.0 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.Q8_0.gguf) | Q8_0 | 4.0 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Ahma-3B-GGUF/resolve/main/Ahma-3B.f16.gguf) | f16 | 7.4 | 16 bpw, overkill |\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.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "finnish",
    "llama",
    "fi",
    "dataset:Finnish-NLP/CulturaX_fi_cleaned",
    "dataset:Finnish-NLP/HPLT_1.2_fi_cleaned",
    "dataset:Finnish-NLP/wikipedia_20231101_fi_cleaned",
    "dataset:Finnish-NLP/Reddit_fi_2006_2022",
    "dataset:intfloat/multilingual_cc_news",
    "base_model:Finnish-NLP/Ahma-3B",
    "base_model:quantized:Finnish-NLP/Ahma-3B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 167,
  "gated": false,
  "private": false,
  "last_modified": "2024-06-16T02:34:01.000Z",
  "created_at": "2024-06-16T02:18:11.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "666e4b631f975c1f8658f96c",
  "id": "mradermacher/Ahma-3B-GGUF",
  "modelId": "mradermacher/Ahma-3B-GGUF",
  "sha": "fbf34107e67e5c123c45fc82b7238a3096753b7d",
  "createdAt": "2024-06-16T02:18:11.000Z",
  "lastModified": "2024-06-16T02:34:01.000Z",
  "author": "mradermacher",
  "downloads": 167,
  "likes": 0,
  "gated": false,
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  "pipeline_tag": "",
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  "siblings_count": 17
}