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mradermacher/qwen2-7b-multilingual-rp-gguf overview

About static quants of https://huggingface.co/maywell/Qwen2-7B-Multilingual-RP weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-i1-GGUF

transformersggufenkojazhesbase_model:maywell/Qwen2-7B-Multilingual-RPbase_model:quantized:maywell/Qwen2-7B-Multilingual-RPlicense:apache-2.0endpoints_compatibleregion:usconversational
mradermacher/qwen2-7b-multilingual-rp-gguf visual
Downloads
169
Likes
26
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

15 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Qwen2-7B-Multilingual-RP.IQ3_M.gguf GGUF IQ3_M 3.33 GB Download
Qwen2-7B-Multilingual-RP.IQ3_S.gguf GGUF IQ3_S 3.26 GB Download
Qwen2-7B-Multilingual-RP.IQ3_XS.gguf GGUF IQ3_XS 3.12 GB Download
Qwen2-7B-Multilingual-RP.IQ4_XS.gguf GGUF IQ4_XS 3.96 GB Download
Qwen2-7B-Multilingual-RP.Q2_K.gguf GGUF Q2_K 2.81 GB Download
Qwen2-7B-Multilingual-RP.Q3_K_L.gguf GGUF Q3_K_L 3.81 GB Download
Qwen2-7B-Multilingual-RP.Q3_K_M.gguf GGUF Q3_K_M 3.55 GB Download
Qwen2-7B-Multilingual-RP.Q3_K_S.gguf GGUF Q3_K_S 3.25 GB Download
Qwen2-7B-Multilingual-RP.Q4_K_M.gguf GGUF Q4_K_M 4.36 GB Download
Qwen2-7B-Multilingual-RP.Q4_K_S.gguf GGUF Q4_K_S 4.15 GB Download
Qwen2-7B-Multilingual-RP.Q5_K_M.gguf GGUF Q5_K_M 5.07 GB Download
Qwen2-7B-Multilingual-RP.Q5_K_S.gguf GGUF Q5_K_S 4.95 GB Download
Qwen2-7B-Multilingual-RP.Q6_K.gguf GGUF Q6_K 5.82 GB Download
Qwen2-7B-Multilingual-RP.Q8_0.gguf GGUF 7.54 GB Download
Qwen2-7B-Multilingual-RP.f16.gguf GGUF F16 14.19 GB Download

Model Details Live

Model Slug
mradermacher/qwen2-7b-multilingual-rp-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2024-06-24
Last Modified
2024-06-25
Gated
No
Private
No
HF SHA
f2f4d88d95f406d181b51d0af6f94a0899d96520
License
apache-2.0
Language
en, ko, ja, zh, es
Base Model
maywell/Qwen2-7B-Multilingual-RP

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "maywell/Qwen2-7B-Multilingual-RP",
    "language": [
      "en",
      "ko",
      "ja",
      "zh",
      "es"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "maywell/Qwen2-7B-Multilingual-RP",
      "language": [
        "en",
        "ko",
        "ja",
        "zh",
        "es"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/maywell/Qwen2-7B-Multilingual-RP  weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: maywell/Qwen2-7B-Multilingual-RP\nlanguage:\n- en\n- ko\n- ja\n- zh\n- es\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\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/maywell/Qwen2-7B-Multilingual-RP\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-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/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.Q2_K.gguf) | Q2_K | 3.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.IQ3_XS.gguf) | IQ3_XS | 3.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.Q3_K_S.gguf) | Q3_K_S | 3.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.IQ3_S.gguf) | IQ3_S | 3.6 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.IQ3_M.gguf) | IQ3_M | 3.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.Q3_K_L.gguf) | Q3_K_L | 4.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.IQ4_XS.gguf) | IQ4_XS | 4.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.Q5_K_S.gguf) | Q5_K_S | 5.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.Q5_K_M.gguf) | Q5_K_M | 5.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.Q6_K.gguf) | Q6_K | 6.4 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2-7B-Multilingual-RP-GGUF/resolve/main/Qwen2-7B-Multilingual-RP.f16.gguf) | f16 | 15.3 | 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",
    "ko",
    "ja",
    "zh",
    "es",
    "base_model:maywell/Qwen2-7B-Multilingual-RP",
    "base_model:quantized:maywell/Qwen2-7B-Multilingual-RP",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 26,
  "downloads": 169,
  "gated": false,
  "private": false,
  "last_modified": "2024-06-25T03:27:47.000Z",
  "created_at": "2024-06-24T17:45:52.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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  "id": "mradermacher/Qwen2-7B-Multilingual-RP-GGUF",
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  "sha": "f2f4d88d95f406d181b51d0af6f94a0899d96520",
  "createdAt": "2024-06-24T17:45:52.000Z",
  "lastModified": "2024-06-25T03:27:47.000Z",
  "author": "mradermacher",
  "downloads": 169,
  "likes": 26,
  "gated": false,
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  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 17
}