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mradermacher/celeste-12b-v1.6-gguf IQ3_M 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/celeste-12b-v1.6-gguf overview

About static quants of https://huggingface.co/nothingiisreal/Celeste-12B-V1.6 weighted/imatrix quants are available at https://huggingface.co/mradermacher/Celeste-12B-V1.6-i1-GGUF

transformersggufnot-for-all-audiencesendataset:nothingiisreal/c2-logs-cleaneddataset:kalomaze/Opus_Instruct_25kdataset:nothingiisreal/Reddit-Dirty-And-WritingPromptsbase_model:nothingiisreal/Celeste-12B-V1.6base_model:quantized:nothingiisreal/Celeste-12B-V1.6license:apache-2.0endpoints_compatibleregion:usconversational
mradermacher/celeste-12b-v1.6-gguf visual
Downloads
125
Likes
7
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

14 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Celeste-12B-V1.6.IQ3_M.gguf GGUF IQ3_M 5.33 GB Download
Celeste-12B-V1.6.IQ3_S.gguf GGUF IQ3_S 5.18 GB Download
Celeste-12B-V1.6.IQ3_XS.gguf GGUF IQ3_XS 4.94 GB Download
Celeste-12B-V1.6.IQ4_XS.gguf GGUF IQ4_XS 6.33 GB Download
Celeste-12B-V1.6.Q2_K.gguf GGUF Q2_K 4.46 GB Download
Celeste-12B-V1.6.Q3_K_L.gguf GGUF Q3_K_L 6.11 GB Download
Celeste-12B-V1.6.Q3_K_M.gguf GGUF Q3_K_M 5.67 GB Download
Celeste-12B-V1.6.Q3_K_S.gguf GGUF Q3_K_S 5.15 GB Download
Celeste-12B-V1.6.Q4_K_M.gguf GGUF Q4_K_M 6.96 GB Download
Celeste-12B-V1.6.Q4_K_S.gguf GGUF Q4_K_S 6.63 GB Download
Celeste-12B-V1.6.Q5_K_M.gguf GGUF Q5_K_M 8.13 GB Download
Celeste-12B-V1.6.Q5_K_S.gguf GGUF Q5_K_S 7.93 GB Download
Celeste-12B-V1.6.Q6_K.gguf GGUF Q6_K 9.37 GB Download
Celeste-12B-V1.6.Q8_0.gguf GGUF 12.13 GB Download

Model Details Live

Model Slug
mradermacher/celeste-12b-v1.6-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-07-28
Last Modified
2024-07-29
Gated
No
Private
No
HF SHA
a9d4935e61355e9886799c30e36b62e98058cca6
License
apache-2.0
Language
en
Base Model
nothingiisreal/Celeste-12B-V1.6

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "nothingiisreal/Celeste-12B-V1.6",
    "datasets": [
      "nothingiisreal/c2-logs-cleaned",
      "kalomaze/Opus_Instruct_25k",
      "nothingiisreal/Reddit-Dirty-And-WritingPrompts"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "tags": [
      "not-for-all-audiences"
    ],
    "frontmatter": {
      "base_model": "nothingiisreal/Celeste-12B-V1.6",
      "datasets": [
        "nothingiisreal/c2-logs-cleaned",
        "kalomaze/Opus_Instruct_25k",
        "nothingiisreal/Reddit-Dirty-And-WritingPrompts"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher",
      "tags": [
        "not-for-all-audiences"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/nothingiisreal/Celeste-12B-V1.6  weighted/imatrix quants are available at https://huggingface.co/mradermacher/Celeste-12B-V1.6-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: nothingiisreal/Celeste-12B-V1.6\ndatasets:\n- nothingiisreal/c2-logs-cleaned\n- kalomaze/Opus_Instruct_25k\n- nothingiisreal/Reddit-Dirty-And-WritingPrompts\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- not-for-all-audiences\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/nothingiisreal/Celeste-12B-V1.6\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Celeste-12B-V1.6-i1-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/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.Q2_K.gguf) | Q2_K | 4.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.IQ3_XS.gguf) | IQ3_XS | 5.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.Q3_K_S.gguf) | Q3_K_S | 5.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.IQ3_S.gguf) | IQ3_S | 5.7 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.IQ3_M.gguf) | IQ3_M | 5.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.Q3_K_L.gguf) | Q3_K_L | 6.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.IQ4_XS.gguf) | IQ4_XS | 6.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.Q4_K_S.gguf) | Q4_K_S | 7.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.Q4_K_M.gguf) | Q4_K_M | 7.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.Q5_K_S.gguf) | Q5_K_S | 8.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.Q5_K_M.gguf) | Q5_K_M | 8.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.Q6_K.gguf) | Q6_K | 10.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Celeste-12B-V1.6-GGUF/resolve/main/Celeste-12B-V1.6.Q8_0.gguf) | Q8_0 | 13.1 | fast, best quality |\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",
    "not-for-all-audiences",
    "en",
    "dataset:nothingiisreal/c2-logs-cleaned",
    "dataset:kalomaze/Opus_Instruct_25k",
    "dataset:nothingiisreal/Reddit-Dirty-And-WritingPrompts",
    "base_model:nothingiisreal/Celeste-12B-V1.6",
    "base_model:quantized:nothingiisreal/Celeste-12B-V1.6",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 7,
  "downloads": 125,
  "gated": false,
  "private": false,
  "last_modified": "2024-07-29T05:56:44.000Z",
  "created_at": "2024-07-28T22:32:13.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "66a6c6ed35757bff02281e23",
  "id": "mradermacher/Celeste-12B-V1.6-GGUF",
  "modelId": "mradermacher/Celeste-12B-V1.6-GGUF",
  "sha": "a9d4935e61355e9886799c30e36b62e98058cca6",
  "createdAt": "2024-07-28T22:32:13.000Z",
  "lastModified": "2024-07-29T05:56:44.000Z",
  "author": "mradermacher",
  "downloads": 125,
  "likes": 7,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 16
}