alekseipravdin/seamaiiza-7b-v1-gguf Q6_K GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.
Model Intelligence Sheet
alekseipravdin/seamaiiza-7b-v1-gguf overview
Seamaiiza-7B-v1 is a merge of the following models using mergekit: AlekseiPravdin/KSI-RP-NSK-128k-7B SanjiWatsuki/Kunoichi-DPO-v2-7B
Downloads
101
Likes
1
Pipeline
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Library
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Visibility
Public
Access
Open
Repository Files & Downloads
14 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Seamaiiza-7B-v1.q2_k.gguf | GGUF | Q2_K | 2.53 GB | Download |
| Seamaiiza-7B-v1.q3_k_l.gguf | GGUF | Q3_K_L | 3.56 GB | Download |
| Seamaiiza-7B-v1.q3_k_m.gguf | GGUF | Q3_K_M | 3.28 GB | Download |
| Seamaiiza-7B-v1.q3_k_s.gguf | GGUF | Q3_K_S | 2.95 GB | Download |
| Seamaiiza-7B-v1.q4_0.gguf | GGUF | — | 3.83 GB | Download |
| Seamaiiza-7B-v1.q4_1.gguf | GGUF | — | 4.24 GB | Download |
| Seamaiiza-7B-v1.q4_k_m.gguf | GGUF | Q4_K_M | 4.07 GB | Download |
| Seamaiiza-7B-v1.q4_k_s.gguf | GGUF | Q4_K_S | 3.86 GB | Download |
| Seamaiiza-7B-v1.q5_0.gguf | GGUF | — | 4.65 GB | Download |
| Seamaiiza-7B-v1.q5_1.gguf | GGUF | — | 5.07 GB | Download |
| Seamaiiza-7B-v1.q5_k_m.gguf | GGUF | Q5_K_M | 4.78 GB | Download |
| Seamaiiza-7B-v1.q5_k_s.gguf | GGUF | Q5_K_S | 4.65 GB | Download |
| Seamaiiza-7B-v1.q6_k.gguf | GGUF | Q6_K | 5.53 GB | Download |
| Seamaiiza-7B-v1.q8_0.gguf | GGUF | — | 7.17 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "apache-2.0",
"tags": [
"merge",
"mergekit",
"lazymergekit",
"SanjiWatsuki/Kunoichi-DPO-v2-7B",
"AlekseiPravdin/KSI-RP-NSK-128k-7B"
],
"frontmatter": {
"license": "apache-2.0",
"tags": [
"merge",
"mergekit",
"lazymergekit",
"SanjiWatsuki/Kunoichi-DPO-v2-7B",
"AlekseiPravdin/KSI-RP-NSK-128k-7B"
]
},
"hero_image_url": "",
"summary": "Seamaiiza-7B-v1 is a merge of the following models using mergekit: * AlekseiPravdin/KSI-RP-NSK-128k-7B * SanjiWatsuki/Kunoichi-DPO-v2-7B",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlicense: apache-2.0\ntags:\n- merge\n- mergekit\n- lazymergekit\n- SanjiWatsuki/Kunoichi-DPO-v2-7B\n- AlekseiPravdin/KSI-RP-NSK-128k-7B\n---\n\n# Seamaiiza-7B-v1\n\nSeamaiiza-7B-v1 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):\n* [AlekseiPravdin/KSI-RP-NSK-128k-7B](https://huggingface.co/AlekseiPravdin/KSI-RP-NSK-128k-7B)\n* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)\n\n## 🧩 Configuration\n\n```yaml\nslices:\n - sources:\n - model: AlekseiPravdin/KSI-RP-NSK-128k-7B\n layer_range: [0, 32]\n - model: SanjiWatsuki/Kunoichi-DPO-v2-7B\n layer_range: [0, 32]\nmerge_method: slerp\nbase_model: SanjiWatsuki/Kunoichi-DPO-v2-7B\nparameters:\n t:\n - filter: self_attn\n value: [0, 0.53, 0.35, 0.7, 1]\n - filter: mlp\n value: [1, 0.57, 0.75, 0.33, 0]\n - value: 0.53\ndtype: bfloat16\n\n```",
"related_quantizations": []
},
"tags": [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"SanjiWatsuki/Kunoichi-DPO-v2-7B",
"AlekseiPravdin/KSI-RP-NSK-128k-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
],
"likes": 1,
"downloads": 101,
"gated": false,
"private": false,
"last_modified": "2024-05-15T21:02:17.000Z",
"created_at": "2024-05-15T19:52:06.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6645126615c233efdfd1bd8d",
"id": "AlekseiPravdin/Seamaiiza-7B-v1-gguf",
"modelId": "AlekseiPravdin/Seamaiiza-7B-v1-gguf",
"sha": "085fc053bc6ab579e876a53789134b4c8404850e",
"createdAt": "2024-05-15T19:52:06.000Z",
"lastModified": "2024-05-15T21:02:17.000Z",
"author": "AlekseiPravdin",
"downloads": 101,
"likes": 1,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "",
"siblings_count": 16
}