GraySoft
Projects Models About FAQ Contact Download guIDE →

mradermacher/kafkalm-mixtral-8x7b-v0.2-i1-gguf Q4_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/kafkalm-mixtral-8x7b-v0.2-i1-gguf overview

About weighted/imatrix quants of https://huggingface.co/seedboxai/KafkaLM-Mixtral-8x7B-V0.2 static quants are available at https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-GGUF

transformersggufdeutschgermanseedboxmistralmixtralmultilingualdeenbase_model:seedboxai/KafkaLM-Mixtral-8x7B-V0.2base_model:quantized:seedboxai/KafkaLM-Mixtral-8x7B-V0.2license:apache-2.0endpoints_compatibleregion:usimatrixconversational
mradermacher/kafkalm-mixtral-8x7b-v0.2-i1-gguf visual
Downloads
249
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

22 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
KafkaLM-Mixtral-8x7B-V0.2.i1-IQ1_M.gguf GGUF IQ1_M 10.10 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-IQ1_S.gguf GGUF IQ1_S 9.15 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-IQ2_M.gguf GGUF IQ2_M 14.43 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-IQ2_S.gguf GGUF IQ2_S 13.16 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-IQ2_XS.gguf GGUF IQ2_XS 12.97 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-IQ2_XXS.gguf GGUF IQ2_XXS 11.69 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-IQ3_M.gguf GGUF IQ3_M 19.96 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-IQ3_S.gguf GGUF IQ3_S 19.03 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-IQ3_XS.gguf GGUF IQ3_XS 18.02 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-IQ3_XXS.gguf GGUF IQ3_XXS 16.99 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-IQ4_XS.gguf GGUF IQ4_XS 23.36 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-Q2_K.gguf GGUF Q2_K 16.12 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-Q2_K_S.gguf GGUF Q2_K_S 14.93 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-Q3_K_L.gguf GGUF Q3_K_L 22.51 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-Q3_K_M.gguf GGUF Q3_K_M 21.00 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-Q3_K_S.gguf GGUF Q3_K_S 19.03 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-Q4_0.gguf GGUF 24.74 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-Q4_K_M.gguf GGUF Q4_K_M 26.49 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-Q4_K_S.gguf GGUF Q4_K_S 24.91 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-Q5_K_M.gguf GGUF Q5_K_M 30.95 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-Q5_K_S.gguf GGUF Q5_K_S 30.02 GB Download
KafkaLM-Mixtral-8x7B-V0.2.i1-Q6_K.gguf GGUF Q6_K 35.74 GB Download

Model Details Live

Model Slug
mradermacher/kafkalm-mixtral-8x7b-v0.2-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-12-17
Last Modified
2024-12-17
Gated
No
Private
No
HF SHA
8ae3c4b8e2b4e5a70e312101c1b02fcf512afabf
License
apache-2.0
Language
de, en
Base Model
seedboxai/KafkaLM-Mixtral-8x7B-V0.2

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "seedboxai/KafkaLM-Mixtral-8x7B-V0.2",
    "language": [
      "de",
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "tags": [
      "deutsch",
      "german",
      "seedbox",
      "mistral",
      "mixtral",
      "multilingual"
    ],
    "frontmatter": {
      "base_model": "seedboxai/KafkaLM-Mixtral-8x7B-V0.2",
      "language": [
        "de",
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher",
      "tags": [
        "deutsch",
        "german",
        "seedbox",
        "mistral",
        "mixtral",
        "multilingual"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      weighted/imatrix quants of https://huggingface.co/seedboxai/KafkaLM-Mixtral-8x7B-V0.2  static quants are available at https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: seedboxai/KafkaLM-Mixtral-8x7B-V0.2\nlanguage:\n- de\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- deutsch\n- german\n- seedbox\n- mistral\n- mixtral\n- multilingual\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/seedboxai/KafkaLM-Mixtral-8x7B-V0.2\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-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/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-IQ1_S.gguf) | i1-IQ1_S | 9.9 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-IQ1_M.gguf) | i1-IQ1_M | 10.9 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 12.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-IQ2_XS.gguf) | i1-IQ2_XS | 14.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-IQ2_S.gguf) | i1-IQ2_S | 14.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-IQ2_M.gguf) | i1-IQ2_M | 15.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-Q2_K_S.gguf) | i1-Q2_K_S | 16.1 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-Q2_K.gguf) | i1-Q2_K | 17.4 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 18.3 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-IQ3_XS.gguf) | i1-IQ3_XS | 19.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-IQ3_S.gguf) | i1-IQ3_S | 20.5 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-Q3_K_S.gguf) | i1-Q3_K_S | 20.5 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-IQ3_M.gguf) | i1-IQ3_M | 21.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-Q3_K_M.gguf) | i1-Q3_K_M | 22.6 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-Q3_K_L.gguf) | i1-Q3_K_L | 24.3 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-IQ4_XS.gguf) | i1-IQ4_XS | 25.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-Q4_0.gguf) | i1-Q4_0 | 26.7 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-Q4_K_S.gguf) | i1-Q4_K_S | 26.8 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-Q4_K_M.gguf) | i1-Q4_K_M | 28.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-Q5_K_S.gguf) | i1-Q5_K_S | 32.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-Q5_K_M.gguf) | i1-Q5_K_M | 33.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF/resolve/main/KafkaLM-Mixtral-8x7B-V0.2.i1-Q6_K.gguf) | i1-Q6_K | 38.5 | 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",
    "deutsch",
    "german",
    "seedbox",
    "mistral",
    "mixtral",
    "multilingual",
    "de",
    "en",
    "base_model:seedboxai/KafkaLM-Mixtral-8x7B-V0.2",
    "base_model:quantized:seedboxai/KafkaLM-Mixtral-8x7B-V0.2",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 0,
  "downloads": 249,
  "gated": false,
  "private": false,
  "last_modified": "2024-12-17T14:13:03.000Z",
  "created_at": "2024-12-17T07:32:57.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "676129295e1a60621d1cbe1d",
  "id": "mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF",
  "modelId": "mradermacher/KafkaLM-Mixtral-8x7B-V0.2-i1-GGUF",
  "sha": "8ae3c4b8e2b4e5a70e312101c1b02fcf512afabf",
  "createdAt": "2024-12-17T07:32:57.000Z",
  "lastModified": "2024-12-17T14:13:03.000Z",
  "author": "mradermacher",
  "downloads": 249,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 25
}