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mradermacher/josiefied-llama-3.2-1b-instruct-abliterated-v1-gguf Q3_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/josiefied-llama-3.2-1b-instruct-abliterated-v1-gguf overview

About static quants of https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1 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.

transformersggufllama-3llamametafacebookchatendelicense:llama3.2endpoints_compatibleregion:usconversational
mradermacher/josiefied-llama-3.2-1b-instruct-abliterated-v1-gguf visual
Downloads
232
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

15 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.IQ3_M.gguf GGUF IQ3_M 626.84 MB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.IQ3_S.gguf GGUF IQ3_S 614.09 MB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.IQ3_XS.gguf GGUF IQ3_XS 592.34 MB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.IQ4_XS.gguf GGUF IQ4_XS 713.72 MB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q2_K.gguf GGUF Q2_K 553.97 MB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q3_K_L.gguf GGUF Q3_K_L 698.59 MB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q3_K_M.gguf GGUF Q3_K_M 658.84 MB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q3_K_S.gguf GGUF Q3_K_S 611.97 MB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q4_K_M.gguf GGUF Q4_K_M 770.28 MB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q4_K_S.gguf GGUF Q4_K_S 739.72 MB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q5_K_M.gguf GGUF Q5_K_M 869.28 MB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q5_K_S.gguf GGUF Q5_K_S 851.22 MB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q6_K.gguf GGUF Q6_K 974.47 MB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q8_0.gguf GGUF 1.23 GB Download
Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.f16.gguf GGUF F16 2.31 GB Download

Model Details Live

Model Slug
mradermacher/josiefied-llama-3.2-1b-instruct-abliterated-v1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-09-30
Last Modified
2024-09-30
Gated
No
Private
No
HF SHA
49ed65593690c82b8852c16282ef1d2e865dd9cc
License
llama3.2
Language
en, de
Base Model
Goekdeniz-Guelmez/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "Goekdeniz-Guelmez/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1",
    "language": [
      "en",
      "de"
    ],
    "library_name": "transformers",
    "license": "llama3.2",
    "quantized_by": "mradermacher",
    "tags": [
      "llama-3",
      "llama",
      "meta",
      "facebook",
      "transformers",
      "chat"
    ],
    "frontmatter": {
      "base_model": "Goekdeniz-Guelmez/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1",
      "language": [
        "en",
        "de"
      ],
      "library_name": "transformers",
      "license": "llama3.2",
      "quantized_by": "mradermacher",
      "tags": [
        "llama-3",
        "llama",
        "meta",
        "facebook",
        "transformers",
        "chat"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1  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: Goekdeniz-Guelmez/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1\nlanguage:\n- en\n- de\nlibrary_name: transformers\nlicense: llama3.2\nquantized_by: mradermacher\ntags:\n- llama-3\n- llama\n- meta\n- facebook\n- transformers\n- chat\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/Goekdeniz-Guelmez/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1\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/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q2_K.gguf) | Q2_K | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.IQ3_XS.gguf) | IQ3_XS | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q3_K_S.gguf) | Q3_K_S | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.IQ3_S.gguf) | IQ3_S | 0.7 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.IQ3_M.gguf) | IQ3_M | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q3_K_M.gguf) | Q3_K_M | 0.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q3_K_L.gguf) | Q3_K_L | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.IQ4_XS.gguf) | IQ4_XS | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q4_K_S.gguf) | Q4_K_S | 0.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q4_K_M.gguf) | Q4_K_M | 0.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q5_K_S.gguf) | Q5_K_S | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q5_K_M.gguf) | Q5_K_M | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q6_K.gguf) | Q6_K | 1.1 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.Q8_0.gguf) | Q8_0 | 1.4 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF/resolve/main/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1.f16.gguf) | f16 | 2.6 | 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",
    "llama-3",
    "llama",
    "meta",
    "facebook",
    "chat",
    "en",
    "de",
    "license:llama3.2",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 232,
  "gated": false,
  "private": false,
  "last_modified": "2024-09-30T04:22:07.000Z",
  "created_at": "2024-09-30T04:17:10.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "66fa264642f7a87905db9ef7",
  "id": "mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF",
  "modelId": "mradermacher/Josiefied-Llama-3.2-1B-Instruct-abliterated-v1-GGUF",
  "sha": "49ed65593690c82b8852c16282ef1d2e865dd9cc",
  "createdAt": "2024-09-30T04:17:10.000Z",
  "lastModified": "2024-09-30T04:22:07.000Z",
  "author": "mradermacher",
  "downloads": 232,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 17
}