mradermacher/deepseek-llm-67b-chat-i1-gguf Q5_K_S 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
mradermacher/deepseek-llm-67b-chat-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat static quants are available at https://huggingface.co/mradermacher/deepseek-llm-67b-chat-GGUF
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Pipeline
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Library
transformers
Visibility
Public
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Open
Repository Files & Downloads
20 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| deepseek-llm-67b-chat.i1-IQ1_M.gguf | GGUF | IQ1_M | 14.89 GB | Download |
| deepseek-llm-67b-chat.i1-IQ1_S.gguf | GGUF | IQ1_S | 13.65 GB | Download |
| deepseek-llm-67b-chat.i1-IQ2_M.gguf | GGUF | IQ2_M | 21.53 GB | Download |
| deepseek-llm-67b-chat.i1-IQ2_S.gguf | GGUF | IQ2_S | 19.88 GB | Download |
| deepseek-llm-67b-chat.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 18.78 GB | Download |
| deepseek-llm-67b-chat.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 16.95 GB | Download |
| deepseek-llm-67b-chat.i1-IQ3_M.gguf | GGUF | IQ3_M | 28.43 GB | Download |
| deepseek-llm-67b-chat.i1-IQ3_S.gguf | GGUF | IQ3_S | 27.40 GB | Download |
| deepseek-llm-67b-chat.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 25.95 GB | Download |
| deepseek-llm-67b-chat.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 24.32 GB | Download |
| deepseek-llm-67b-chat.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 33.71 GB | Download |
| deepseek-llm-67b-chat.i1-Q2_K.gguf | GGUF | Q2_K | 23.40 GB | Download |
| deepseek-llm-67b-chat.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 33.13 GB | Download |
| deepseek-llm-67b-chat.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 30.41 GB | Download |
| deepseek-llm-67b-chat.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 27.30 GB | Download |
| deepseek-llm-67b-chat.i1-Q4_0.gguf | GGUF | — | 35.65 GB | Download |
| deepseek-llm-67b-chat.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 37.66 GB | Download |
| deepseek-llm-67b-chat.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 35.77 GB | Download |
| deepseek-llm-67b-chat.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 44.38 GB | Download |
| deepseek-llm-67b-chat.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 43.28 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "deepseek-ai/deepseek-llm-67b-chat",
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_link": "LICENSE",
"license_name": "deepseek",
"quantized_by": "mradermacher",
"frontmatter": {
"base_model": "deepseek-ai/deepseek-llm-67b-chat",
"language": [
"en"
],
"library_name": "transformers",
"license": "other",
"license_link": "LICENSE",
"license_name": "deepseek",
"quantized_by": "mradermacher"
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat static quants are available at https://huggingface.co/mradermacher/deepseek-llm-67b-chat-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: deepseek-ai/deepseek-llm-67b-chat\nlanguage:\n- en\nlibrary_name: transformers\nlicense: other\nlicense_link: LICENSE\nlicense_name: deepseek\nquantized_by: mradermacher\n---\n## About\n\n<!-- ### quantize_version: 1 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: -->\n<!-- ### vocab_type: -->\nweighted/imatrix quants of https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat\n\n<!-- provided-files -->\nstatic quants are available at https://huggingface.co/mradermacher/deepseek-llm-67b-chat-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/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-IQ1_S.gguf) | i1-IQ1_S | 14.8 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-IQ1_M.gguf) | i1-IQ1_M | 16.1 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 18.3 | |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-IQ2_XS.gguf) | i1-IQ2_XS | 20.3 | |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-IQ2_S.gguf) | i1-IQ2_S | 21.4 | |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-IQ2_M.gguf) | i1-IQ2_M | 23.2 | |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-Q2_K.gguf) | i1-Q2_K | 25.2 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 26.2 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-IQ3_XS.gguf) | i1-IQ3_XS | 28.0 | |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-Q3_K_S.gguf) | i1-Q3_K_S | 29.4 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-IQ3_S.gguf) | i1-IQ3_S | 29.5 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-IQ3_M.gguf) | i1-IQ3_M | 30.6 | |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-Q3_K_M.gguf) | i1-Q3_K_M | 32.8 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-Q3_K_L.gguf) | i1-Q3_K_L | 35.7 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-IQ4_XS.gguf) | i1-IQ4_XS | 36.3 | |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-Q4_0.gguf) | i1-Q4_0 | 38.4 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-Q4_K_S.gguf) | i1-Q4_K_S | 38.5 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-Q4_K_M.gguf) | i1-Q4_K_M | 40.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-Q5_K_S.gguf) | i1-Q5_K_S | 46.6 | |\n| [GGUF](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-Q5_K_M.gguf) | i1-Q5_K_M | 47.8 | |\n| [PART 1](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/deepseek-llm-67b-chat-i1-GGUF/resolve/main/deepseek-llm-67b-chat.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 55.4 | 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.\n\n<!-- end -->\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"en",
"base_model:deepseek-ai/deepseek-llm-67b-chat",
"base_model:quantized:deepseek-ai/deepseek-llm-67b-chat",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 224,
"gated": false,
"private": false,
"last_modified": "2024-05-06T04:38:08.000Z",
"created_at": "2024-04-20T06:42:46.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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