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mradermacher/ichigo-llama3.2-base-1b-t2s-2048c-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/ichigo-llama3.2-base-1b-t2s-2048c-gguf overview

About static quants of https://huggingface.co/jan-hq/Ichigo-llama3.2-base-1B-T2S-2048c weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-i1-GGUF

transformersggufenbase_model:jan-hq/Ichigo-llama3.2-base-1B-T2S-2048cbase_model:quantized:jan-hq/Ichigo-llama3.2-base-1B-T2S-2048cendpoints_compatibleregion:us
mradermacher/ichigo-llama3.2-base-1b-t2s-2048c-gguf visual
Downloads
104
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

12 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Ichigo-llama3.2-base-1B-T2S-2048c.IQ4_XS.gguf GGUF IQ4_XS 717.13 MB Download
Ichigo-llama3.2-base-1B-T2S-2048c.Q2_K.gguf GGUF Q2_K 557.38 MB Download
Ichigo-llama3.2-base-1B-T2S-2048c.Q3_K_L.gguf GGUF Q3_K_L 702.00 MB Download
Ichigo-llama3.2-base-1B-T2S-2048c.Q3_K_M.gguf GGUF Q3_K_M 662.25 MB Download
Ichigo-llama3.2-base-1B-T2S-2048c.Q3_K_S.gguf GGUF Q3_K_S 615.38 MB Download
Ichigo-llama3.2-base-1B-T2S-2048c.Q4_K_M.gguf GGUF Q4_K_M 773.69 MB Download
Ichigo-llama3.2-base-1B-T2S-2048c.Q4_K_S.gguf GGUF Q4_K_S 743.13 MB Download
Ichigo-llama3.2-base-1B-T2S-2048c.Q5_K_M.gguf GGUF Q5_K_M 872.69 MB Download
Ichigo-llama3.2-base-1B-T2S-2048c.Q5_K_S.gguf GGUF Q5_K_S 854.63 MB Download
Ichigo-llama3.2-base-1B-T2S-2048c.Q6_K.gguf GGUF Q6_K 977.88 MB Download
Ichigo-llama3.2-base-1B-T2S-2048c.Q8_0.gguf GGUF 1.23 GB Download
Ichigo-llama3.2-base-1B-T2S-2048c.f16.gguf GGUF F16 2.32 GB Download

Model Details Live

Model Slug
mradermacher/ichigo-llama3.2-base-1b-t2s-2048c-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-12-27
Last Modified
2025-01-26
Gated
No
Private
No
HF SHA
7220117f6365c13a1deada913349c246a7573da8
License
Unknown
Language
en
Base Model
jan-hq/Ichigo-llama3.2-base-1B-T2S-2048c

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "jan-hq/Ichigo-llama3.2-base-1B-T2S-2048c",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "quantized_by": "mradermacher",
    "tags": [],
    "frontmatter": {
      "base_model": "jan-hq/Ichigo-llama3.2-base-1B-T2S-2048c",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "quantized_by": "mradermacher",
      "tags": "[]"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/jan-hq/Ichigo-llama3.2-base-1B-T2S-2048c  weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: jan-hq/Ichigo-llama3.2-base-1B-T2S-2048c\nlanguage:\n- en\nlibrary_name: transformers\nquantized_by: mradermacher\ntags: []\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/jan-hq/Ichigo-llama3.2-base-1B-T2S-2048c\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-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/Ichigo-llama3.2-base-1B-T2S-2048c-GGUF/resolve/main/Ichigo-llama3.2-base-1B-T2S-2048c.Q2_K.gguf) | Q2_K | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-GGUF/resolve/main/Ichigo-llama3.2-base-1B-T2S-2048c.Q3_K_S.gguf) | Q3_K_S | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-GGUF/resolve/main/Ichigo-llama3.2-base-1B-T2S-2048c.Q3_K_M.gguf) | Q3_K_M | 0.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-GGUF/resolve/main/Ichigo-llama3.2-base-1B-T2S-2048c.Q3_K_L.gguf) | Q3_K_L | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-GGUF/resolve/main/Ichigo-llama3.2-base-1B-T2S-2048c.IQ4_XS.gguf) | IQ4_XS | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-GGUF/resolve/main/Ichigo-llama3.2-base-1B-T2S-2048c.Q4_K_S.gguf) | Q4_K_S | 0.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-GGUF/resolve/main/Ichigo-llama3.2-base-1B-T2S-2048c.Q4_K_M.gguf) | Q4_K_M | 0.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-GGUF/resolve/main/Ichigo-llama3.2-base-1B-T2S-2048c.Q5_K_S.gguf) | Q5_K_S | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-GGUF/resolve/main/Ichigo-llama3.2-base-1B-T2S-2048c.Q5_K_M.gguf) | Q5_K_M | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-GGUF/resolve/main/Ichigo-llama3.2-base-1B-T2S-2048c.Q6_K.gguf) | Q6_K | 1.1 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-GGUF/resolve/main/Ichigo-llama3.2-base-1B-T2S-2048c.Q8_0.gguf) | Q8_0 | 1.4 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Ichigo-llama3.2-base-1B-T2S-2048c-GGUF/resolve/main/Ichigo-llama3.2-base-1B-T2S-2048c.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",
    "en",
    "base_model:jan-hq/Ichigo-llama3.2-base-1B-T2S-2048c",
    "base_model:quantized:jan-hq/Ichigo-llama3.2-base-1B-T2S-2048c",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 104,
  "gated": false,
  "private": false,
  "last_modified": "2025-01-26T09:43:36.000Z",
  "created_at": "2024-12-27T13:27:11.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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  "sha": "7220117f6365c13a1deada913349c246a7573da8",
  "createdAt": "2024-12-27T13:27:11.000Z",
  "lastModified": "2025-01-26T09:43:36.000Z",
  "author": "mradermacher",
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  "siblings_count": 14
}