Model Intelligence Sheet
richarderkhov/v2ray_-_deepseek-v3-1b-test-gguf overview
This model is randomly initialized for testing implementations, it's not a trained model and it will only generate random tokens.
Downloads
1,063
Likes
1
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 |
|---|---|---|---|---|
| DeepSeek-V3-1B-Test.IQ3_M.gguf | GGUF | IQ3_M | 515.53 MB | Download |
| DeepSeek-V3-1B-Test.IQ3_S.gguf | GGUF | IQ3_S | 513.10 MB | Download |
| DeepSeek-V3-1B-Test.IQ3_XS.gguf | GGUF | IQ3_XS | 496.65 MB | Download |
| DeepSeek-V3-1B-Test.IQ4_NL.gguf | GGUF | IQ4_NL | 602.49 MB | Download |
| DeepSeek-V3-1B-Test.IQ4_XS.gguf | GGUF | IQ4_XS | 581.77 MB | Download |
| DeepSeek-V3-1B-Test.Q2_K.gguf | GGUF | Q2_K | 448.17 MB | Download |
| DeepSeek-V3-1B-Test.Q3_K.gguf | GGUF | Q3_K | 542.70 MB | Download |
| DeepSeek-V3-1B-Test.Q3_K_L.gguf | GGUF | Q3_K_L | 559.19 MB | Download |
| DeepSeek-V3-1B-Test.Q3_K_M.gguf | GGUF | Q3_K_M | 542.70 MB | Download |
| DeepSeek-V3-1B-Test.Q3_K_S.gguf | GGUF | Q3_K_S | 513.10 MB | Download |
| DeepSeek-V3-1B-Test.Q4_0.gguf | GGUF | — | 601.83 MB | Download |
| DeepSeek-V3-1B-Test.Q4_1.gguf | GGUF | — | 656.47 MB | Download |
| DeepSeek-V3-1B-Test.Q4_K.gguf | GGUF | Q4_K | 667.64 MB | Download |
| DeepSeek-V3-1B-Test.Q4_K_M.gguf | GGUF | Q4_K_M | 667.64 MB | Download |
| DeepSeek-V3-1B-Test.Q4_K_S.gguf | GGUF | Q4_K_S | 628.27 MB | Download |
| DeepSeek-V3-1B-Test.Q5_0.gguf | GGUF | — | 711.12 MB | Download |
| DeepSeek-V3-1B-Test.Q5_1.gguf | GGUF | — | 765.76 MB | Download |
| DeepSeek-V3-1B-Test.Q5_K.gguf | GGUF | Q5_K | 756.93 MB | Download |
| DeepSeek-V3-1B-Test.Q5_K_M.gguf | GGUF | Q5_K_M | 756.93 MB | Download |
| DeepSeek-V3-1B-Test.Q5_K_S.gguf | GGUF | Q5_K_S | 724.01 MB | Download |
| DeepSeek-V3-1B-Test.Q6_K.gguf | GGUF | Q6_K | 877.19 MB | Download |
| DeepSeek-V3-1B-Test.Q8_0.gguf | GGUF | — | 1.04 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"frontmatter": {},
"hero_image_url": "",
"summary": "This model is randomly initialized for testing implementations, it's **not** a trained model and it will only generate random tokens.",
"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\nDeepSeek-V3-1B-Test - GGUF\n- Model creator: https://huggingface.co/v2ray/\n- Original model: https://huggingface.co/v2ray/DeepSeek-V3-1B-Test/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [DeepSeek-V3-1B-Test.Q2_K.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q2_K.gguf) | Q2_K | 0.44GB |\n| [DeepSeek-V3-1B-Test.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.IQ3_XS.gguf) | IQ3_XS | 0.49GB |\n| [DeepSeek-V3-1B-Test.IQ3_S.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.IQ3_S.gguf) | IQ3_S | 0.5GB |\n| [DeepSeek-V3-1B-Test.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q3_K_S.gguf) | Q3_K_S | 0.5GB |\n| [DeepSeek-V3-1B-Test.IQ3_M.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.IQ3_M.gguf) | IQ3_M | 0.5GB |\n| [DeepSeek-V3-1B-Test.Q3_K.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q3_K.gguf) | Q3_K | 0.53GB |\n| [DeepSeek-V3-1B-Test.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q3_K_M.gguf) | Q3_K_M | 0.53GB |\n| [DeepSeek-V3-1B-Test.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q3_K_L.gguf) | Q3_K_L | 0.55GB |\n| [DeepSeek-V3-1B-Test.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.IQ4_XS.gguf) | IQ4_XS | 0.57GB |\n| [DeepSeek-V3-1B-Test.Q4_0.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q4_0.gguf) | Q4_0 | 0.59GB |\n| [DeepSeek-V3-1B-Test.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.IQ4_NL.gguf) | IQ4_NL | 0.59GB |\n| [DeepSeek-V3-1B-Test.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q4_K_S.gguf) | Q4_K_S | 0.61GB |\n| [DeepSeek-V3-1B-Test.Q4_K.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q4_K.gguf) | Q4_K | 0.65GB |\n| [DeepSeek-V3-1B-Test.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q4_K_M.gguf) | Q4_K_M | 0.65GB |\n| [DeepSeek-V3-1B-Test.Q4_1.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q4_1.gguf) | Q4_1 | 0.64GB |\n| [DeepSeek-V3-1B-Test.Q5_0.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q5_0.gguf) | Q5_0 | 0.69GB |\n| [DeepSeek-V3-1B-Test.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q5_K_S.gguf) | Q5_K_S | 0.71GB |\n| [DeepSeek-V3-1B-Test.Q5_K.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q5_K.gguf) | Q5_K | 0.74GB |\n| [DeepSeek-V3-1B-Test.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q5_K_M.gguf) | Q5_K_M | 0.74GB |\n| [DeepSeek-V3-1B-Test.Q5_1.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q5_1.gguf) | Q5_1 | 0.75GB |\n| [DeepSeek-V3-1B-Test.Q6_K.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q6_K.gguf) | Q6_K | 0.86GB |\n| [DeepSeek-V3-1B-Test.Q8_0.gguf](https://huggingface.co/RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf/blob/main/DeepSeek-V3-1B-Test.Q8_0.gguf) | Q8_0 | 1.04GB |\n\n\n\n\nOriginal model description:\n---\nlicense: mit\nbase_model:\n- deepseek-ai/DeepSeek-V3\npipeline_tag: text-generation\nlibrary_name: transformers\n---\n# DeepSeek V3 1B Test\nThis model is randomly initialized for testing implementations, it's **not** a trained model and it will only generate random tokens.\n\n",
"related_quantizations": []
},
"tags": [
"gguf",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 1,
"downloads": 1063,
"gated": false,
"private": false,
"last_modified": "2025-03-15T07:44:11.000Z",
"created_at": "2025-03-15T07:24:35.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "67d52b33dd22d44ac5dce665",
"id": "RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf",
"modelId": "RichardErkhov/v2ray_-_DeepSeek-V3-1B-Test-gguf",
"sha": "e25788cfa002e3d3e22d609b8830c820a437214e",
"createdAt": "2025-03-15T07:24:35.000Z",
"lastModified": "2025-03-15T07:44:11.000Z",
"author": "RichardErkhov",
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"siblings_count": 24
}