Model Intelligence Sheet
mradermacher/okapillama-3-dpo-gguf overview
About static quants of https://huggingface.co/mayacinka/OkapiLlama-3-dpo weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Downloads
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0
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
14 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| OkapiLlama-3-dpo.IQ3_M.gguf | GGUF | IQ3_M | 3.53 GB | Download |
| OkapiLlama-3-dpo.IQ3_S.gguf | GGUF | IQ3_S | 3.43 GB | Download |
| OkapiLlama-3-dpo.IQ3_XS.gguf | GGUF | IQ3_XS | 3.28 GB | Download |
| OkapiLlama-3-dpo.IQ4_XS.gguf | GGUF | IQ4_XS | 4.18 GB | Download |
| OkapiLlama-3-dpo.Q2_K.gguf | GGUF | Q2_K | 2.96 GB | Download |
| OkapiLlama-3-dpo.Q3_K_L.gguf | GGUF | Q3_K_L | 4.03 GB | Download |
| OkapiLlama-3-dpo.Q3_K_M.gguf | GGUF | Q3_K_M | 3.74 GB | Download |
| OkapiLlama-3-dpo.Q3_K_S.gguf | GGUF | Q3_K_S | 3.41 GB | Download |
| OkapiLlama-3-dpo.Q4_K_M.gguf | GGUF | Q4_K_M | 4.58 GB | Download |
| OkapiLlama-3-dpo.Q4_K_S.gguf | GGUF | Q4_K_S | 4.37 GB | Download |
| OkapiLlama-3-dpo.Q5_K_M.gguf | GGUF | Q5_K_M | 5.34 GB | Download |
| OkapiLlama-3-dpo.Q5_K_S.gguf | GGUF | Q5_K_S | 5.22 GB | Download |
| OkapiLlama-3-dpo.Q6_K.gguf | GGUF | Q6_K | 6.14 GB | Download |
| OkapiLlama-3-dpo.Q8_0.gguf | GGUF | — | 7.95 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "mayacinka/OkapiLlama-3-dpo",
"datasets": [
"mlabonne/orpo-dpo-mix-40k"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"quantized_by": "mradermacher",
"tags": [
"text-generation-inference",
"transformers",
"unsloth",
"llama",
"trl",
"dpo"
],
"frontmatter": {
"base_model": "mayacinka/OkapiLlama-3-dpo",
"datasets": [
"mlabonne/orpo-dpo-mix-40k"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"quantized_by": "mradermacher",
"tags": [
"text-generation-inference",
"transformers",
"unsloth",
"llama",
"trl",
"dpo"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/mayacinka/OkapiLlama-3-dpo weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: mayacinka/OkapiLlama-3-dpo\ndatasets:\n- mlabonne/orpo-dpo-mix-40k\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- llama\n- trl\n- dpo\n---\n## About\n\n<!-- ### quantize_version: 1 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: -->\n<!-- ### vocab_type: -->\nstatic quants of https://huggingface.co/mayacinka/OkapiLlama-3-dpo\n\n<!-- provided-files -->\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\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/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.Q2_K.gguf) | Q2_K | 3.3 | |\n| [GGUF](https://huggingface.co/mradermacher/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.IQ3_XS.gguf) | IQ3_XS | 3.6 | |\n| [GGUF](https://huggingface.co/mradermacher/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.Q3_K_S.gguf) | Q3_K_S | 3.8 | |\n| [GGUF](https://huggingface.co/mradermacher/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.IQ3_S.gguf) | IQ3_S | 3.8 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.IQ3_M.gguf) | IQ3_M | 3.9 | |\n| [GGUF](https://huggingface.co/mradermacher/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.Q3_K_L.gguf) | Q3_K_L | 4.4 | |\n| [GGUF](https://huggingface.co/mradermacher/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.IQ4_XS.gguf) | IQ4_XS | 4.6 | |\n| [GGUF](https://huggingface.co/mradermacher/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.Q4_K_M.gguf) | Q4_K_M | 5.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.Q5_K_S.gguf) | Q5_K_S | 5.7 | |\n| [GGUF](https://huggingface.co/mradermacher/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.Q5_K_M.gguf) | Q5_K_M | 5.8 | |\n| [GGUF](https://huggingface.co/mradermacher/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.Q6_K.gguf) | Q6_K | 6.7 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/OkapiLlama-3-dpo-GGUF/resolve/main/OkapiLlama-3-dpo.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |\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",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"dpo",
"en",
"dataset:mlabonne/orpo-dpo-mix-40k",
"base_model:mayacinka/OkapiLlama-3-dpo",
"base_model:quantized:mayacinka/OkapiLlama-3-dpo",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 111,
"gated": false,
"private": false,
"last_modified": "2024-05-06T04:39:02.000Z",
"created_at": "2024-04-19T16:55:53.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6622a219609d7a39a1c0ac20",
"id": "mradermacher/OkapiLlama-3-dpo-GGUF",
"modelId": "mradermacher/OkapiLlama-3-dpo-GGUF",
"sha": "257897827b8f8ed39f67ebe8da9373ea3da7e1b1",
"createdAt": "2024-04-19T16:55:53.000Z",
"lastModified": "2024-05-06T04:39:02.000Z",
"author": "mradermacher",
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