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mradermacher/gemma-4-e4b-it-mentalchat16k-gguf mentalchat16k.Q8_0 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/gemma-4-e4b-it-mentalchat16k-gguf overview

About static quants of https://huggingface.co/howardbaik/gemma-4-E4B-it-mentalchat16k For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-i1-GGUF

transformersggufgemma4mental-healthcounselingconversationalsftendataset:ShenLab/MentalChat16Kbase_model:howardbaik/gemma-4-E4B-it-mentalchat16kbase_model:quantized:howardbaik/gemma-4-E4B-it-mentalchat16kendpoints_compatibleregion:us
mradermacher/gemma-4-e4b-it-mentalchat16k-gguf visual
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Pipeline
Library
transformers
Visibility
Public
Access
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Repository Files & Downloads

14 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
gemma-4-E4B-it-mentalchat16k.IQ4_XS.gguf GGUF IQ4_XS 4.71 GB Download
gemma-4-E4B-it-mentalchat16k.Q2_K.gguf GGUF Q2_K 4.08 GB Download
gemma-4-E4B-it-mentalchat16k.Q3_K_L.gguf GGUF Q3_K_L 4.65 GB Download
gemma-4-E4B-it-mentalchat16k.Q3_K_M.gguf GGUF Q3_K_M 4.49 GB Download
gemma-4-E4B-it-mentalchat16k.Q3_K_S.gguf GGUF Q3_K_S 4.31 GB Download
gemma-4-E4B-it-mentalchat16k.Q4_K_M.gguf GGUF Q4_K_M 4.94 GB Download
gemma-4-E4B-it-mentalchat16k.Q4_K_S.gguf GGUF Q4_K_S 4.82 GB Download
gemma-4-E4B-it-mentalchat16k.Q5_K_M.gguf GGUF Q5_K_M 5.33 GB Download
gemma-4-E4B-it-mentalchat16k.Q5_K_S.gguf GGUF Q5_K_S 5.26 GB Download
gemma-4-E4B-it-mentalchat16k.Q6_K.gguf GGUF Q6_K 5.75 GB Download
gemma-4-E4B-it-mentalchat16k.Q8_0.gguf GGUF 7.43 GB Download
gemma-4-E4B-it-mentalchat16k.f16.gguf GGUF F16 13.92 GB Download
gemma-4-E4B-it-mentalchat16k.mmproj-Q8_0.gguf GGUF 533.94 MB Download
gemma-4-E4B-it-mentalchat16k.mmproj-f16.gguf GGUF F16 944.49 MB Download

Model Details Live

Model Slug
mradermacher/gemma-4-e4b-it-mentalchat16k-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2026-04-14
Last Modified
2026-04-15
Gated
No
Private
No
HF SHA
4e573a9784757e4afc7b472981668365631b6637
License
Unknown
Language
en
Base Model
howardbaik/gemma-4-E4B-it-mentalchat16k

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "howardbaik/gemma-4-E4B-it-mentalchat16k",
    "datasets": [
      "ShenLab/MentalChat16K"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "gemma4",
      "mental-health",
      "counseling",
      "conversational",
      "sft"
    ],
    "frontmatter": {
      "base_model": "howardbaik/gemma-4-E4B-it-mentalchat16k",
      "datasets": [
        "ShenLab/MentalChat16K"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "gemma4",
        "mental-health",
        "counseling",
        "conversational",
        "sft"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/howardbaik/gemma-4-E4B-it-mentalchat16k  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: howardbaik/gemma-4-E4B-it-mentalchat16k\ndatasets:\n- ShenLab/MentalChat16K\nlanguage:\n- en\nlibrary_name: transformers\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- gemma4\n- mental-health\n- counseling\n- conversational\n- sft\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/howardbaik/gemma-4-E4B-it-mentalchat16k\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#gemma-4-E4B-it-mentalchat16k-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-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/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.7 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.mmproj-f16.gguf) | mmproj-f16 | 1.1 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.Q2_K.gguf) | Q2_K | 4.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.Q3_K_S.gguf) | Q3_K_S | 4.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.Q3_K_M.gguf) | Q3_K_M | 4.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.Q3_K_L.gguf) | Q3_K_L | 5.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.IQ4_XS.gguf) | IQ4_XS | 5.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.Q4_K_S.gguf) | Q4_K_S | 5.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.Q4_K_M.gguf) | Q4_K_M | 5.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.Q5_K_S.gguf) | Q5_K_S | 5.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.Q5_K_M.gguf) | Q5_K_M | 5.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.Q6_K.gguf) | Q6_K | 6.3 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.Q8_0.gguf) | Q8_0 | 8.1 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF/resolve/main/gemma-4-E4B-it-mentalchat16k.f16.gguf) | f16 | 15.0 | 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",
    "gemma4",
    "mental-health",
    "counseling",
    "conversational",
    "sft",
    "en",
    "dataset:ShenLab/MentalChat16K",
    "base_model:howardbaik/gemma-4-E4B-it-mentalchat16k",
    "base_model:quantized:howardbaik/gemma-4-E4B-it-mentalchat16k",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 1331,
  "gated": false,
  "private": false,
  "last_modified": "2026-04-15T12:53:04.000Z",
  "created_at": "2026-04-14T06:44:41.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "69dde2597732fbc62b7c4620",
  "id": "mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF",
  "modelId": "mradermacher/gemma-4-E4B-it-mentalchat16k-GGUF",
  "sha": "4e573a9784757e4afc7b472981668365631b6637",
  "createdAt": "2026-04-14T06:44:41.000Z",
  "lastModified": "2026-04-15T12:53:04.000Z",
  "author": "mradermacher",
  "downloads": 1331,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 16
}