Model Intelligence Sheet
richarderkhov/netcat420_-_mfann3bv0.19.10-gguf overview
This is a merge of pre-trained language models created using mergekit.
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100
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0
Pipeline
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Library
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Visibility
Public
Access
Open
Repository Files & Downloads
22 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| MFANN3bv0.19.10.IQ3_M.gguf | GGUF | IQ3_M | 1.23 GB | Download |
| MFANN3bv0.19.10.IQ3_S.gguf | GGUF | IQ3_S | 1.16 GB | Download |
| MFANN3bv0.19.10.IQ3_XS.gguf | GGUF | IQ3_XS | 1.12 GB | Download |
| MFANN3bv0.19.10.IQ4_NL.gguf | GGUF | IQ4_NL | 1.50 GB | Download |
| MFANN3bv0.19.10.IQ4_XS.gguf | GGUF | IQ4_XS | 1.43 GB | Download |
| MFANN3bv0.19.10.Q2_K.gguf | GGUF | Q2_K | 1.03 GB | Download |
| MFANN3bv0.19.10.Q3_K.gguf | GGUF | Q3_K | 1.33 GB | Download |
| MFANN3bv0.19.10.Q3_K_L.gguf | GGUF | Q3_K_L | 1.47 GB | Download |
| MFANN3bv0.19.10.Q3_K_M.gguf | GGUF | Q3_K_M | 1.33 GB | Download |
| MFANN3bv0.19.10.Q3_K_S.gguf | GGUF | Q3_K_S | 1.16 GB | Download |
| MFANN3bv0.19.10.Q4_0.gguf | GGUF | — | 1.49 GB | Download |
| MFANN3bv0.19.10.Q4_1.gguf | GGUF | — | 1.65 GB | Download |
| MFANN3bv0.19.10.Q4_K.gguf | GGUF | Q4_K | 1.62 GB | Download |
| MFANN3bv0.19.10.Q4_K_M.gguf | GGUF | Q4_K_M | 1.62 GB | Download |
| MFANN3bv0.19.10.Q4_K_S.gguf | GGUF | Q4_K_S | 1.51 GB | Download |
| MFANN3bv0.19.10.Q5_0.gguf | GGUF | — | 1.80 GB | Download |
| MFANN3bv0.19.10.Q5_1.gguf | GGUF | — | 1.95 GB | Download |
| MFANN3bv0.19.10.Q5_K.gguf | GGUF | Q5_K | 1.87 GB | Download |
| MFANN3bv0.19.10.Q5_K_M.gguf | GGUF | Q5_K_M | 1.87 GB | Download |
| MFANN3bv0.19.10.Q5_K_S.gguf | GGUF | Q5_K_S | 1.80 GB | Download |
| MFANN3bv0.19.10.Q6_K.gguf | GGUF | Q6_K | 2.13 GB | Download |
| MFANN3bv0.19.10.Q8_0.gguf | GGUF | — | 2.75 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"frontmatter": {},
"hero_image_url": "",
"summary": "This is a merge of pre-trained language models created using mergekit.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nMFANN3bv0.19.10 - GGUF\n- Model creator: https://huggingface.co/netcat420/\n- Original model: https://huggingface.co/netcat420/MFANN3bv0.19.10/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [MFANN3bv0.19.10.Q2_K.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q2_K.gguf) | Q2_K | 1.03GB |\n| [MFANN3bv0.19.10.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.IQ3_XS.gguf) | IQ3_XS | 1.12GB |\n| [MFANN3bv0.19.10.IQ3_S.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.IQ3_S.gguf) | IQ3_S | 1.16GB |\n| [MFANN3bv0.19.10.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q3_K_S.gguf) | Q3_K_S | 1.16GB |\n| [MFANN3bv0.19.10.IQ3_M.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.IQ3_M.gguf) | IQ3_M | 1.23GB |\n| [MFANN3bv0.19.10.Q3_K.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q3_K.gguf) | Q3_K | 1.33GB |\n| [MFANN3bv0.19.10.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q3_K_M.gguf) | Q3_K_M | 1.33GB |\n| [MFANN3bv0.19.10.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q3_K_L.gguf) | Q3_K_L | 1.47GB |\n| [MFANN3bv0.19.10.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.IQ4_XS.gguf) | IQ4_XS | 1.43GB |\n| [MFANN3bv0.19.10.Q4_0.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q4_0.gguf) | Q4_0 | 1.49GB |\n| [MFANN3bv0.19.10.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.IQ4_NL.gguf) | IQ4_NL | 1.5GB |\n| [MFANN3bv0.19.10.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q4_K_S.gguf) | Q4_K_S | 1.51GB |\n| [MFANN3bv0.19.10.Q4_K.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q4_K.gguf) | Q4_K | 1.62GB |\n| [MFANN3bv0.19.10.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q4_K_M.gguf) | Q4_K_M | 1.62GB |\n| [MFANN3bv0.19.10.Q4_1.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q4_1.gguf) | Q4_1 | 1.65GB |\n| [MFANN3bv0.19.10.Q5_0.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q5_0.gguf) | Q5_0 | 1.8GB |\n| [MFANN3bv0.19.10.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q5_K_S.gguf) | Q5_K_S | 1.8GB |\n| [MFANN3bv0.19.10.Q5_K.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q5_K.gguf) | Q5_K | 1.87GB |\n| [MFANN3bv0.19.10.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q5_K_M.gguf) | Q5_K_M | 1.87GB |\n| [MFANN3bv0.19.10.Q5_1.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q5_1.gguf) | Q5_1 | 1.95GB |\n| [MFANN3bv0.19.10.Q6_K.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q6_K.gguf) | Q6_K | 2.13GB |\n| [MFANN3bv0.19.10.Q8_0.gguf](https://huggingface.co/RichardErkhov/netcat420_-_MFANN3bv0.19.10-gguf/blob/main/MFANN3bv0.19.10.Q8_0.gguf) | Q8_0 | 2.75GB |\n\n\n\n\nOriginal model description:\n---\nbase_model:\n- netcat420/MFANN3bv0.18.11\n- netcat420/MFANN3bv0.19\n- liminerity/Phigments12\n- netcat420/MFANN3bv0.6\nlibrary_name: transformers\ntags:\n- mergekit\n- merge\n\n---\n# MFANN3bv0.19.10\n\nThis is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).\n\n## Merge Details\n### Merge Method\n\nThis model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [liminerity/Phigments12](https://huggingface.co/liminerity/Phigments12) as a base.\n\n### Models Merged\n\nThe following models were included in the merge:\n* [netcat420/MFANN3bv0.18.11](https://huggingface.co/netcat420/MFANN3bv0.18.11)\n* [netcat420/MFANN3bv0.19](https://huggingface.co/netcat420/MFANN3bv0.19)\n* [netcat420/MFANN3bv0.6](https://huggingface.co/netcat420/MFANN3bv0.6)\n\n### Configuration\n\nThe following YAML configuration was used to produce this model:\n\n```yaml\nmodels:\n - model: liminerity/Phigments12\n # No parameters necessary for base model\n - model: netcat420/MFANN3bv0.19\n parameters:\n density: 0.53\n weight: 0.5\n - model: netcat420/MFANN3bv0.6\n parameters:\n density: 0.53\n weight: 0.3\n - model: netcat420/MFANN3bv0.18.11\n parameters:\n density: 0.53\n weight: 0.2\nmerge_method: dare_ties\nbase_model: liminerity/Phigments12\nparameters:\n int8_mask: true\ndtype: bfloat16\n\n```\n\n\n",
"related_quantizations": []
},
"tags": [
"gguf",
"arxiv:2311.03099",
"arxiv:2306.01708",
"endpoints_compatible",
"region:us"
],
"likes": 0,
"downloads": 100,
"gated": false,
"private": false,
"last_modified": "2024-10-04T21:10:35.000Z",
"created_at": "2024-10-04T19:53:02.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
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