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mradermacher/llama-3-6b-v0.1-gguf overview

About static quants of https://huggingface.co/prince-canuma/Llama-3-6B-v0.1 For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-3-6B-v0.1-i1-GGUF

transformersggufLlama-3-6B6Bendataset:prince-canuma/fineweb-CC-MAIN-2024-10-1B-endataset:HuggingFaceFW/finewebbase_model:prince-canuma/Llama-3-6B-v0.1base_model:quantized:prince-canuma/Llama-3-6B-v0.1license:llama3endpoints_compatibleregion:us
mradermacher/llama-3-6b-v0.1-gguf visual
Downloads
1,028
Likes
0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

12 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Llama-3-6B-v0.1.IQ4_XS.gguf GGUF IQ4_XS 3.30 GB Download
Llama-3-6B-v0.1.Q2_K.gguf GGUF Q2_K 2.36 GB Download
Llama-3-6B-v0.1.Q3_K_L.gguf GGUF Q3_K_L 3.17 GB Download
Llama-3-6B-v0.1.Q3_K_M.gguf GGUF Q3_K_M 2.96 GB Download
Llama-3-6B-v0.1.Q3_K_S.gguf GGUF Q3_K_S 2.71 GB Download
Llama-3-6B-v0.1.Q4_K_M.gguf GGUF Q4_K_M 3.61 GB Download
Llama-3-6B-v0.1.Q4_K_S.gguf GGUF Q4_K_S 3.45 GB Download
Llama-3-6B-v0.1.Q5_K_M.gguf GGUF Q5_K_M 4.19 GB Download
Llama-3-6B-v0.1.Q5_K_S.gguf GGUF Q5_K_S 4.10 GB Download
Llama-3-6B-v0.1.Q6_K.gguf GGUF Q6_K 4.81 GB Download
Llama-3-6B-v0.1.Q8_0.gguf GGUF 6.23 GB Download
Llama-3-6B-v0.1.f16.gguf GGUF F16 11.72 GB Download

Model Details Live

Model Slug
mradermacher/llama-3-6b-v0.1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-01-18
Last Modified
2025-07-31
Gated
No
Private
No
HF SHA
49082a680bc8a5682d85754653c2a256b8eb6657
License
llama3
Language
en
Base Model
prince-canuma/Llama-3-6B-v0.1

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "prince-canuma/Llama-3-6B-v0.1",
    "datasets": [
      "prince-canuma/fineweb-CC-MAIN-2024-10-1B-en",
      "HuggingFaceFW/fineweb"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "llama3",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "Llama-3-6B",
      "6B"
    ],
    "frontmatter": {
      "base_model": "prince-canuma/Llama-3-6B-v0.1",
      "datasets": [
        "prince-canuma/fineweb-CC-MAIN-2024-10-1B-en",
        "HuggingFaceFW/fineweb"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "llama3",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "Llama-3-6B",
        "6B"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/prince-canuma/Llama-3-6B-v0.1  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-3-6B-v0.1-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: prince-canuma/Llama-3-6B-v0.1\ndatasets:\n- prince-canuma/fineweb-CC-MAIN-2024-10-1B-en\n- HuggingFaceFW/fineweb\nlanguage:\n- en\nlibrary_name: transformers\nlicense: llama3\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- Llama-3-6B\n- 6B\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/prince-canuma/Llama-3-6B-v0.1\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#Llama-3-6B-v0.1-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-3-6B-v0.1-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/Llama-3-6B-v0.1-GGUF/resolve/main/Llama-3-6B-v0.1.Q2_K.gguf) | Q2_K | 2.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3-6B-v0.1-GGUF/resolve/main/Llama-3-6B-v0.1.Q3_K_S.gguf) | Q3_K_S | 3.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3-6B-v0.1-GGUF/resolve/main/Llama-3-6B-v0.1.Q3_K_M.gguf) | Q3_K_M | 3.3 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3-6B-v0.1-GGUF/resolve/main/Llama-3-6B-v0.1.Q3_K_L.gguf) | Q3_K_L | 3.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3-6B-v0.1-GGUF/resolve/main/Llama-3-6B-v0.1.IQ4_XS.gguf) | IQ4_XS | 3.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3-6B-v0.1-GGUF/resolve/main/Llama-3-6B-v0.1.Q4_K_S.gguf) | Q4_K_S | 3.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3-6B-v0.1-GGUF/resolve/main/Llama-3-6B-v0.1.Q4_K_M.gguf) | Q4_K_M | 4.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3-6B-v0.1-GGUF/resolve/main/Llama-3-6B-v0.1.Q5_K_S.gguf) | Q5_K_S | 4.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3-6B-v0.1-GGUF/resolve/main/Llama-3-6B-v0.1.Q5_K_M.gguf) | Q5_K_M | 4.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3-6B-v0.1-GGUF/resolve/main/Llama-3-6B-v0.1.Q6_K.gguf) | Q6_K | 5.3 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3-6B-v0.1-GGUF/resolve/main/Llama-3-6B-v0.1.Q8_0.gguf) | Q8_0 | 6.8 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Llama-3-6B-v0.1-GGUF/resolve/main/Llama-3-6B-v0.1.f16.gguf) | f16 | 12.7 | 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",
    "Llama-3-6B",
    "6B",
    "en",
    "dataset:prince-canuma/fineweb-CC-MAIN-2024-10-1B-en",
    "dataset:HuggingFaceFW/fineweb",
    "base_model:prince-canuma/Llama-3-6B-v0.1",
    "base_model:quantized:prince-canuma/Llama-3-6B-v0.1",
    "license:llama3",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 0,
  "downloads": 1028,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-31T20:57:14.000Z",
  "created_at": "2025-01-18T14:10:55.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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  "createdAt": "2025-01-18T14:10:55.000Z",
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