Model Intelligence Sheet
mradermacher/midnight-miqu-70b-v1.0-gguf overview
About static quants of https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.0 weighted/imatrix quants are available at https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-i1-GGUF
Downloads
112
Likes
10
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
12 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Midnight-Miqu-70B-v1.0.IQ3_M.gguf | GGUF | IQ3_M | 29.11 GB | Download |
| Midnight-Miqu-70B-v1.0.IQ3_S.gguf | GGUF | IQ3_S | 28.15 GB | Download |
| Midnight-Miqu-70B-v1.0.IQ3_XS.gguf | GGUF | IQ3_XS | 26.50 GB | Download |
| Midnight-Miqu-70B-v1.0.IQ4_XS.gguf | GGUF | IQ4_XS | 34.93 GB | Download |
| Midnight-Miqu-70B-v1.0.Q2_K.gguf | GGUF | Q2_K | 24.00 GB | Download |
| Midnight-Miqu-70B-v1.0.Q3_K_L.gguf | GGUF | Q3_K_L | 33.95 GB | Download |
| Midnight-Miqu-70B-v1.0.Q3_K_M.gguf | GGUF | Q3_K_M | 31.28 GB | Download |
| Midnight-Miqu-70B-v1.0.Q3_K_S.gguf | GGUF | Q3_K_S | 28.15 GB | Download |
| Midnight-Miqu-70B-v1.0.Q4_K_M.gguf | GGUF | Q4_K_M | 38.87 GB | Download |
| Midnight-Miqu-70B-v1.0.Q4_K_S.gguf | GGUF | Q4_K_S | 36.84 GB | Download |
| Midnight-Miqu-70B-v1.0.Q5_K_M.gguf | GGUF | Q5_K_M | 45.69 GB | Download |
| Midnight-Miqu-70B-v1.0.Q5_K_S.gguf | GGUF | Q5_K_S | 44.49 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "sophosympatheia/Midnight-Miqu-70B-v1.0",
"language": [
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"library_name": "transformers",
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"frontmatter": {
"base_model": "sophosympatheia/Midnight-Miqu-70B-v1.0",
"language": [
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"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.0 weighted/imatrix quants are available at https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-i1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: sophosympatheia/Midnight-Miqu-70B-v1.0\nlanguage:\n- en\nlibrary_name: transformers\nlicense: other\nquantized_by: mradermacher\ntags:\n- mergekit\n- merge\n---\n## About\n\nstatic quants of https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.0\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-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/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.Q2_K.gguf) | Q2_K | 25.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.IQ3_XS.gguf) | IQ3_XS | 28.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.IQ3_S.gguf) | IQ3_S | 30.3 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.Q3_K_S.gguf) | Q3_K_S | 30.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.IQ3_M.gguf) | IQ3_M | 31.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.Q3_K_M.gguf) | Q3_K_M | 33.7 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.Q3_K_L.gguf) | Q3_K_L | 36.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.IQ4_XS.gguf) | IQ4_XS | 37.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.Q4_K_S.gguf) | Q4_K_S | 39.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.Q4_K_M.gguf) | Q4_K_M | 41.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.Q5_K_S.gguf) | Q5_K_S | 47.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.Q5_K_M.gguf) | Q5_K_M | 49.2 | |\n| [PART 1](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.Q6_K.gguf.part2of2) | Q6_K | 57.0 | very good quality |\n| [PART 1](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.0-GGUF/resolve/main/Midnight-Miqu-70B-v1.0.Q8_0.gguf.part2of2) | Q8_0 | 73.6 | 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": [
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"last_modified": "2024-05-06T06:21:14.000Z",
"created_at": "2024-03-02T05:21:18.000Z",
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Source payload excerpt (from Hugging Face API)
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