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mradermacher/carnice-27b-heretic-gguf Q4_K_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/carnice-27b-heretic-gguf overview

About static quants of https://huggingface.co/ponytang3/Carnice-27b-heretic For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/Carnice-27b-heretic-i1-GGUF

transformersggufqwen3.5qwen3_5hermes-agenttool-callingagentreasoningmergedprivatehereticuncensoreddecensoredabliteratedenbase_model:ponytang3/Carnice-27b-hereticbase_model:quantized:ponytang3/Carnice-27b-hereticlicense:apache-2.0endpoints_compatibleregion:usconversational
mradermacher/carnice-27b-heretic-gguf visual
Downloads
1,172
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

11 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Carnice-27b-heretic.IQ4_XS.gguf GGUF IQ4_XS 14.15 GB Download
Carnice-27b-heretic.Q2_K.gguf GGUF Q2_K 9.98 GB Download
Carnice-27b-heretic.Q3_K_L.gguf GGUF Q3_K_L 13.36 GB Download
Carnice-27b-heretic.Q3_K_M.gguf GGUF Q3_K_M 12.39 GB Download
Carnice-27b-heretic.Q3_K_S.gguf GGUF Q3_K_S 11.24 GB Download
Carnice-27b-heretic.Q4_K_M.gguf GGUF Q4_K_M 15.41 GB Download
Carnice-27b-heretic.Q4_K_S.gguf GGUF Q4_K_S 14.52 GB Download
Carnice-27b-heretic.Q5_K_M.gguf GGUF Q5_K_M 17.91 GB Download
Carnice-27b-heretic.Q5_K_S.gguf GGUF Q5_K_S 17.40 GB Download
Carnice-27b-heretic.Q6_K.gguf GGUF Q6_K 20.57 GB Download
Carnice-27b-heretic.Q8_0.gguf GGUF 26.63 GB Download

Model Details Live

Model Slug
mradermacher/carnice-27b-heretic-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2026-04-11
Last Modified
2026-04-11
Gated
No
Private
No
HF SHA
e02c6424bc01f0019fe3f035734267680452d607
License
apache-2.0
Language
en
Base Model
ponytang3/Carnice-27b-heretic

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "ponytang3/Carnice-27b-heretic",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "qwen3.5",
      "qwen3_5",
      "hermes-agent",
      "tool-calling",
      "agent",
      "reasoning",
      "merged",
      "private",
      "heretic",
      "uncensored",
      "decensored",
      "abliterated"
    ],
    "frontmatter": {
      "base_model": "ponytang3/Carnice-27b-heretic",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "qwen3.5",
        "qwen3_5",
        "hermes-agent",
        "tool-calling",
        "agent",
        "reasoning",
        "merged",
        "private",
        "heretic",
        "uncensored",
        "decensored",
        "abliterated"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/ponytang3/Carnice-27b-heretic  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Carnice-27b-heretic-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: ponytang3/Carnice-27b-heretic\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- qwen3.5\n- qwen3_5\n- hermes-agent\n- tool-calling\n- agent\n- reasoning\n- merged\n- private\n- heretic\n- uncensored\n- decensored\n- abliterated\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\n<!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip:  -->\n<!-- ### skip_mmproj:  -->\nstatic quants of https://huggingface.co/ponytang3/Carnice-27b-heretic\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Carnice-27b-heretic-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Carnice-27b-heretic-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/Carnice-27b-heretic-GGUF/resolve/main/Carnice-27b-heretic.Q2_K.gguf) | Q2_K | 10.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Carnice-27b-heretic-GGUF/resolve/main/Carnice-27b-heretic.Q3_K_S.gguf) | Q3_K_S | 12.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Carnice-27b-heretic-GGUF/resolve/main/Carnice-27b-heretic.Q3_K_M.gguf) | Q3_K_M | 13.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Carnice-27b-heretic-GGUF/resolve/main/Carnice-27b-heretic.Q3_K_L.gguf) | Q3_K_L | 14.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Carnice-27b-heretic-GGUF/resolve/main/Carnice-27b-heretic.IQ4_XS.gguf) | IQ4_XS | 15.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Carnice-27b-heretic-GGUF/resolve/main/Carnice-27b-heretic.Q4_K_S.gguf) | Q4_K_S | 15.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Carnice-27b-heretic-GGUF/resolve/main/Carnice-27b-heretic.Q4_K_M.gguf) | Q4_K_M | 16.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Carnice-27b-heretic-GGUF/resolve/main/Carnice-27b-heretic.Q5_K_S.gguf) | Q5_K_S | 18.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Carnice-27b-heretic-GGUF/resolve/main/Carnice-27b-heretic.Q5_K_M.gguf) | Q5_K_M | 19.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Carnice-27b-heretic-GGUF/resolve/main/Carnice-27b-heretic.Q6_K.gguf) | Q6_K | 22.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Carnice-27b-heretic-GGUF/resolve/main/Carnice-27b-heretic.Q8_0.gguf) | Q8_0 | 28.7 | 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",
    "qwen3.5",
    "qwen3_5",
    "hermes-agent",
    "tool-calling",
    "agent",
    "reasoning",
    "merged",
    "private",
    "heretic",
    "uncensored",
    "decensored",
    "abliterated",
    "en",
    "base_model:ponytang3/Carnice-27b-heretic",
    "base_model:quantized:ponytang3/Carnice-27b-heretic",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 1172,
  "gated": false,
  "private": false,
  "last_modified": "2026-04-11T03:07:22.000Z",
  "created_at": "2026-04-11T00:47:24.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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  "id": "mradermacher/Carnice-27b-heretic-GGUF",
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  "sha": "e02c6424bc01f0019fe3f035734267680452d607",
  "createdAt": "2026-04-11T00:47:24.000Z",
  "lastModified": "2026-04-11T03:07:22.000Z",
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