Model Intelligence Sheet
mradermacher/llama3-8b-it-translation-general-en-ko-1sent-gguf overview
About static quants of https://huggingface.co/nayohan/llama3-8b-it-translation-general-en-ko-1sent weighted/imatrix quants are available at https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-i1-GGUF
Downloads
347
Likes
0
Pipeline
translation
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
12 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| llama3-8b-it-translation-general-en-ko-1sent.IQ4_XS.gguf | GGUF | IQ4_XS | 4.18 GB | Download |
| llama3-8b-it-translation-general-en-ko-1sent.Q2_K.gguf | GGUF | Q2_K | 2.96 GB | Download |
| llama3-8b-it-translation-general-en-ko-1sent.Q3_K_L.gguf | GGUF | Q3_K_L | 4.03 GB | Download |
| llama3-8b-it-translation-general-en-ko-1sent.Q3_K_M.gguf | GGUF | Q3_K_M | 3.74 GB | Download |
| llama3-8b-it-translation-general-en-ko-1sent.Q3_K_S.gguf | GGUF | Q3_K_S | 3.41 GB | Download |
| llama3-8b-it-translation-general-en-ko-1sent.Q4_K_M.gguf | GGUF | Q4_K_M | 4.58 GB | Download |
| llama3-8b-it-translation-general-en-ko-1sent.Q4_K_S.gguf | GGUF | Q4_K_S | 4.37 GB | Download |
| llama3-8b-it-translation-general-en-ko-1sent.Q5_K_M.gguf | GGUF | Q5_K_M | 5.34 GB | Download |
| llama3-8b-it-translation-general-en-ko-1sent.Q5_K_S.gguf | GGUF | Q5_K_S | 5.21 GB | Download |
| llama3-8b-it-translation-general-en-ko-1sent.Q6_K.gguf | GGUF | Q6_K | 6.14 GB | Download |
| llama3-8b-it-translation-general-en-ko-1sent.Q8_0.gguf | GGUF | — | 7.95 GB | Download |
| llama3-8b-it-translation-general-en-ko-1sent.f16.gguf | GGUF | F16 | 14.97 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "nayohan/llama3-8b-it-translation-general-en-ko-1sent",
"datasets": [
"nayohan/aihub-en-ko-translation-1.2m"
],
"language": [
"en",
"ko"
],
"library_name": "transformers",
"license": "llama3",
"quantized_by": "mradermacher",
"tags": [
"translation",
"enko",
"ko"
],
"frontmatter": {
"base_model": "nayohan/llama3-8b-it-translation-general-en-ko-1sent",
"datasets": [
"nayohan/aihub-en-ko-translation-1.2m"
],
"language": [
"en",
"ko"
],
"library_name": "transformers",
"license": "llama3",
"quantized_by": "mradermacher",
"tags": [
"translation",
"enko",
"ko"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/nayohan/llama3-8b-it-translation-general-en-ko-1sent weighted/imatrix quants are available at https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-i1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: nayohan/llama3-8b-it-translation-general-en-ko-1sent\ndatasets:\n- nayohan/aihub-en-ko-translation-1.2m\nlanguage:\n- en\n- ko\nlibrary_name: transformers\nlicense: llama3\nquantized_by: mradermacher\ntags:\n- translation\n- enko\n- ko\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/nayohan/llama3-8b-it-translation-general-en-ko-1sent\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-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/llama3-8b-it-translation-general-en-ko-1sent-GGUF/resolve/main/llama3-8b-it-translation-general-en-ko-1sent.Q2_K.gguf) | Q2_K | 3.3 | |\n| [GGUF](https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-GGUF/resolve/main/llama3-8b-it-translation-general-en-ko-1sent.Q3_K_S.gguf) | Q3_K_S | 3.8 | |\n| [GGUF](https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-GGUF/resolve/main/llama3-8b-it-translation-general-en-ko-1sent.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-GGUF/resolve/main/llama3-8b-it-translation-general-en-ko-1sent.Q3_K_L.gguf) | Q3_K_L | 4.4 | |\n| [GGUF](https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-GGUF/resolve/main/llama3-8b-it-translation-general-en-ko-1sent.IQ4_XS.gguf) | IQ4_XS | 4.6 | |\n| [GGUF](https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-GGUF/resolve/main/llama3-8b-it-translation-general-en-ko-1sent.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-GGUF/resolve/main/llama3-8b-it-translation-general-en-ko-1sent.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-GGUF/resolve/main/llama3-8b-it-translation-general-en-ko-1sent.Q5_K_S.gguf) | Q5_K_S | 5.7 | |\n| [GGUF](https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-GGUF/resolve/main/llama3-8b-it-translation-general-en-ko-1sent.Q5_K_M.gguf) | Q5_K_M | 5.8 | |\n| [GGUF](https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-GGUF/resolve/main/llama3-8b-it-translation-general-en-ko-1sent.Q6_K.gguf) | Q6_K | 6.7 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-GGUF/resolve/main/llama3-8b-it-translation-general-en-ko-1sent.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/llama3-8b-it-translation-general-en-ko-1sent-GGUF/resolve/main/llama3-8b-it-translation-general-en-ko-1sent.f16.gguf) | f16 | 16.2 | 16 bpw, overkill |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n\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",
"translation",
"enko",
"ko",
"en",
"dataset:nayohan/aihub-en-ko-translation-1.2m",
"base_model:nayohan/llama3-8b-it-translation-general-en-ko-1sent",
"base_model:quantized:nayohan/llama3-8b-it-translation-general-en-ko-1sent",
"license:llama3",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 347,
"gated": false,
"private": false,
"last_modified": "2024-12-31T11:20:45.000Z",
"created_at": "2024-12-31T04:24:12.000Z",
"pipeline_tag": "translation",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "677371ecc5f097e2cd9b43ab",
"id": "mradermacher/llama3-8b-it-translation-general-en-ko-1sent-GGUF",
"modelId": "mradermacher/llama3-8b-it-translation-general-en-ko-1sent-GGUF",
"sha": "c2e0515dc1601b3bcdf397c0ccdabbf1a1991199",
"createdAt": "2024-12-31T04:24:12.000Z",
"lastModified": "2024-12-31T11:20:45.000Z",
"author": "mradermacher",
"downloads": 347,
"likes": 0,
"gated": false,
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"pipeline_tag": "translation",
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"siblings_count": 14
}