Model Intelligence Sheet
mradermacher/qwen2.5-14b-gutenberg-instruct-slerpeno-gguf overview
About static quants of https://huggingface.co/v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-i1-GGUF
Downloads
178
Likes
3
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
14 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.IQ3_M.gguf | GGUF | IQ3_M | 6.44 GB | Download |
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.IQ3_S.gguf | GGUF | IQ3_S | 6.23 GB | Download |
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.IQ3_XS.gguf | GGUF | IQ3_XS | 5.94 GB | Download |
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.IQ4_XS.gguf | GGUF | IQ4_XS | 7.62 GB | Download |
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q2_K.gguf | GGUF | Q2_K | 5.37 GB | Download |
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q3_K_L.gguf | GGUF | Q3_K_L | 7.38 GB | Download |
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q3_K_M.gguf | GGUF | Q3_K_M | 6.84 GB | Download |
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q3_K_S.gguf | GGUF | Q3_K_S | 6.20 GB | Download |
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q4_K_M.gguf | GGUF | Q4_K_M | 8.37 GB | Download |
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q4_K_S.gguf | GGUF | Q4_K_S | 7.98 GB | Download |
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q5_K_M.gguf | GGUF | Q5_K_M | 9.79 GB | Download |
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q5_K_S.gguf | GGUF | Q5_K_S | 9.56 GB | Download |
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q6_K.gguf | GGUF | Q6_K | 11.29 GB | Download |
| Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q8_0.gguf | GGUF | — | 14.62 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno",
"datasets": [
"jondurbin/gutenberg-dpo-v0.1"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"quantized_by": "mradermacher",
"tags": [
"mergekit",
"merge",
"qwen2",
"qwen2.5",
"dpo"
],
"frontmatter": {
"base_model": "v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno",
"datasets": [
"jondurbin/gutenberg-dpo-v0.1"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"quantized_by": "mradermacher",
"tags": [
"mergekit",
"merge",
"qwen2",
"qwen2.5",
"dpo"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-i1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno\ndatasets:\n- jondurbin/gutenberg-dpo-v0.1\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nquantized_by: mradermacher\ntags:\n- mergekit\n- merge\n- qwen2\n- qwen2.5\n- dpo\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/v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-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/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q2_K.gguf) | Q2_K | 5.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.IQ3_XS.gguf) | IQ3_XS | 6.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q3_K_S.gguf) | Q3_K_S | 6.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.IQ3_S.gguf) | IQ3_S | 6.8 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.IQ3_M.gguf) | IQ3_M | 7.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q3_K_M.gguf) | Q3_K_M | 7.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q3_K_L.gguf) | Q3_K_L | 8.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.IQ4_XS.gguf) | IQ4_XS | 8.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q4_K_S.gguf) | Q4_K_S | 8.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q4_K_M.gguf) | Q4_K_M | 9.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q5_K_S.gguf) | Q5_K_S | 10.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q5_K_M.gguf) | Q5_K_M | 10.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q6_K.gguf) | Q6_K | 12.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF/resolve/main/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno.Q8_0.gguf) | Q8_0 | 15.8 | 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",
"mergekit",
"merge",
"qwen2",
"qwen2.5",
"dpo",
"en",
"dataset:jondurbin/gutenberg-dpo-v0.1",
"base_model:v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno",
"base_model:quantized:v000000/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 3,
"downloads": 178,
"gated": false,
"private": false,
"last_modified": "2024-09-21T19:09:22.000Z",
"created_at": "2024-09-20T17:26:53.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "66edb05dba7f3dba3e4ec1d9",
"id": "mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF",
"modelId": "mradermacher/Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-GGUF",
"sha": "6dbce74552c2e3da2196857163a044aa369ae87d",
"createdAt": "2024-09-20T17:26:53.000Z",
"lastModified": "2024-09-21T19:09:22.000Z",
"author": "mradermacher",
"downloads": 178,
"likes": 3,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "transformers",
"siblings_count": 16
}