Model Intelligence Sheet
mradermacher/mythomist-7b-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/Gryphe/MythoMist-7b static quants are available at https://huggingface.co/mradermacher/MythoMist-7b-GGUF
Downloads
84
Likes
0
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
21 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| MythoMist-7b.i1-IQ1_M.gguf | GGUF | IQ1_M | 1.63 GB | Download |
| MythoMist-7b.i1-IQ1_S.gguf | GGUF | IQ1_S | 1.50 GB | Download |
| MythoMist-7b.i1-IQ2_M.gguf | GGUF | IQ2_M | 2.33 GB | Download |
| MythoMist-7b.i1-IQ2_S.gguf | GGUF | IQ2_S | 2.15 GB | Download |
| MythoMist-7b.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 2.05 GB | Download |
| MythoMist-7b.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 1.85 GB | Download |
| MythoMist-7b.i1-IQ3_M.gguf | GGUF | IQ3_M | 3.06 GB | Download |
| MythoMist-7b.i1-IQ3_S.gguf | GGUF | IQ3_S | 2.96 GB | Download |
| MythoMist-7b.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 2.81 GB | Download |
| MythoMist-7b.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 2.63 GB | Download |
| MythoMist-7b.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 3.64 GB | Download |
| MythoMist-7b.i1-Q2_K.gguf | GGUF | Q2_K | 2.53 GB | Download |
| MythoMist-7b.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 3.56 GB | Download |
| MythoMist-7b.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 3.28 GB | Download |
| MythoMist-7b.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 2.95 GB | Download |
| MythoMist-7b.i1-Q4_0.gguf | GGUF | — | 3.84 GB | Download |
| MythoMist-7b.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 4.07 GB | Download |
| MythoMist-7b.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 3.86 GB | Download |
| MythoMist-7b.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 4.78 GB | Download |
| MythoMist-7b.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 4.65 GB | Download |
| MythoMist-7b.i1-Q6_K.gguf | GGUF | Q6_K | 5.53 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "Gryphe/MythoMist-7b",
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"quantized_by": "mradermacher",
"frontmatter": {
"base_model": "Gryphe/MythoMist-7b",
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"quantized_by": "mradermacher"
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/Gryphe/MythoMist-7b static quants are available at https://huggingface.co/mradermacher/MythoMist-7b-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: Gryphe/MythoMist-7b\nlanguage:\n- en\nlibrary_name: transformers\nlicense: other\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: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/Gryphe/MythoMist-7b\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/MythoMist-7b-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/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-IQ1_S.gguf) | i1-IQ1_S | 1.7 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-IQ1_M.gguf) | i1-IQ1_M | 1.9 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.1 | |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.3 | |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-IQ2_S.gguf) | i1-IQ2_S | 2.4 | |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-IQ2_M.gguf) | i1-IQ2_M | 2.6 | |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.1 | |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.3 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-IQ3_S.gguf) | i1-IQ3_S | 3.3 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-IQ3_M.gguf) | i1-IQ3_M | 3.4 | |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.6 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.9 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.0 | |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-Q4_0.gguf) | i1-Q4_0 | 4.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.2 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.1 | |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.2 | |\n| [GGUF](https://huggingface.co/mradermacher/MythoMist-7b-i1-GGUF/resolve/main/MythoMist-7b.i1-Q6_K.gguf) | i1-Q6_K | 6.0 | practically like static Q6_K |\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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"en",
"base_model:Gryphe/MythoMist-7b",
"base_model:quantized:Gryphe/MythoMist-7b",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix"
],
"likes": 0,
"downloads": 84,
"gated": false,
"private": false,
"last_modified": "2024-08-02T10:53:29.000Z",
"created_at": "2024-06-06T01:31:50.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6661118623756265f27b7b59",
"id": "mradermacher/MythoMist-7b-i1-GGUF",
"modelId": "mradermacher/MythoMist-7b-i1-GGUF",
"sha": "52f4f341ebca7ea4a5711673b6e3a568d78a2d5c",
"createdAt": "2024-06-06T01:31:50.000Z",
"lastModified": "2024-08-02T10:53:29.000Z",
"author": "mradermacher",
"downloads": 84,
"likes": 0,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "transformers",
"siblings_count": 24
}