legraphista/deepseek-v2-lite-chat-imat-gguf IQ2_M 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
legraphista/deepseek-v2-lite-chat-imat-gguf overview
Llama.cpp imatrix quantization of deepseek-ai/DeepSeek-V2-Lite-Chat Original Model: deepseek-ai/DeepSeek-V2-Lite-Chat Original dtype: BF16 (bfloat16) Quantized by: llama.cpp fork PR 7519 IMatrix dataset: here ---
Downloads
966
Likes
11
Pipeline
text-generation
Library
gguf
Visibility
Public
Access
Open
Repository Files & Downloads
25 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| DeepSeek-V2-Lite-Chat.BF16.gguf | GGUF | BF16 | 29.27 GB | Download |
| DeepSeek-V2-Lite-Chat.FP16.gguf | GGUF | — | 29.27 GB | Download |
| DeepSeek-V2-Lite-Chat.IQ1_M.gguf | GGUF | IQ1_M | 4.88 GB | Download |
| DeepSeek-V2-Lite-Chat.IQ1_S.gguf | GGUF | IQ1_S | 4.65 GB | Download |
| DeepSeek-V2-Lite-Chat.IQ2_M.gguf | GGUF | IQ2_M | 5.89 GB | Download |
| DeepSeek-V2-Lite-Chat.IQ2_S.gguf | GGUF | IQ2_S | 5.59 GB | Download |
| DeepSeek-V2-Lite-Chat.IQ2_XS.gguf | GGUF | IQ2_XS | 5.56 GB | Download |
| DeepSeek-V2-Lite-Chat.IQ2_XXS.gguf | GGUF | IQ2_XXS | 5.25 GB | Download |
| DeepSeek-V2-Lite-Chat.IQ3_M.gguf | GGUF | IQ3_M | 7.03 GB | Download |
| DeepSeek-V2-Lite-Chat.IQ3_S.gguf | GGUF | IQ3_S | 6.97 GB | Download |
| DeepSeek-V2-Lite-Chat.IQ3_XS.gguf | GGUF | IQ3_XS | 6.63 GB | Download |
| DeepSeek-V2-Lite-Chat.IQ3_XXS.gguf | GGUF | IQ3_XXS | 6.49 GB | Download |
| DeepSeek-V2-Lite-Chat.IQ4_NL.gguf | GGUF | IQ4_NL | 8.29 GB | Download |
| DeepSeek-V2-Lite-Chat.IQ4_XS.gguf | GGUF | IQ4_XS | 7.98 GB | Download |
| DeepSeek-V2-Lite-Chat.Q2_K.gguf | GGUF | Q2_K | 5.99 GB | Download |
| DeepSeek-V2-Lite-Chat.Q2_K_S.gguf | GGUF | Q2_K_S | 6.01 GB | Download |
| DeepSeek-V2-Lite-Chat.Q3_K.gguf | GGUF | Q3_K | 7.57 GB | Download |
| DeepSeek-V2-Lite-Chat.Q3_K_L.gguf | GGUF | Q3_K_L | 7.88 GB | Download |
| DeepSeek-V2-Lite-Chat.Q3_K_S.gguf | GGUF | Q3_K_S | 6.97 GB | Download |
| DeepSeek-V2-Lite-Chat.Q4_K.gguf | GGUF | Q4_K | 9.65 GB | Download |
| DeepSeek-V2-Lite-Chat.Q4_K_S.gguf | GGUF | Q4_K_S | 8.88 GB | Download |
| DeepSeek-V2-Lite-Chat.Q5_K.gguf | GGUF | Q5_K | 11.04 GB | Download |
| DeepSeek-V2-Lite-Chat.Q5_K_S.gguf | GGUF | Q5_K_S | 10.38 GB | Download |
| DeepSeek-V2-Lite-Chat.Q6_K.gguf | GGUF | Q6_K | 13.10 GB | Download |
| DeepSeek-V2-Lite-Chat.Q8_0.gguf | GGUF | — | 15.56 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "deepseek-ai/DeepSeek-V2-Lite-Chat",
"inference": false,
"library_name": "gguf",
"pipeline_tag": "text-generation",
"quantized_by": "legraphista",
"tags": [
"quantized",
"GGUF",
"imatrix",
"quantization",
"imat",
"imatrix",
"static"
],
"frontmatter": {
"base_model": "deepseek-ai/DeepSeek-V2-Lite-Chat",
"inference": "false",
"library_name": "gguf",
"pipeline_tag": "text-generation",
"quantized_by": "legraphista",
"tags": [
"quantized",
"GGUF",
"imatrix",
"quantization",
"imat",
"imatrix",
"static"
]
},
"hero_image_url": "",
"summary": "_Llama.cpp imatrix quantization of deepseek-ai/DeepSeek-V2-Lite-Chat_ Original Model: deepseek-ai/DeepSeek-V2-Lite-Chat Original dtype: BF16 (bfloat16) Quantized by: llama.cpp fork PR 7519 IMatrix dataset: here ---",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: deepseek-ai/DeepSeek-V2-Lite-Chat\ninference: false\nlibrary_name: gguf\npipeline_tag: text-generation\nquantized_by: legraphista\ntags:\n- quantized\n- GGUF\n- imatrix\n- quantization\n- imat\n- imatrix\n- static\n---\n\n# DeepSeek-V2-Lite-Chat-IMat-GGUF\n_Llama.cpp imatrix quantization of deepseek-ai/DeepSeek-V2-Lite-Chat_\n\nOriginal Model: [deepseek-ai/DeepSeek-V2-Lite-Chat](https://huggingface.co/deepseek-ai/DeepSeek-V2-Lite-Chat) \nOriginal dtype: `BF16` (`bfloat16`) \nQuantized by: llama.cpp fork [PR 7519](https://github.com/ggerganov/llama.cpp/pull/7519) \nIMatrix dataset: [here](https://gist.githubusercontent.com/legraphista/d6d93f1a254bcfc58e0af3777eaec41e/raw/d380e7002cea4a51c33fffd47db851942754e7cc/imatrix.calibration.medium.raw) \n\n- [DeepSeek-V2-Lite-Chat-IMat-GGUF](#deepseek-v2-lite-chat-imat-gguf)\n - [Files](#files)\n - [IMatrix](#imatrix)\n - [Common Quants](#common-quants)\n - [All Quants](#all-quants)\n - [Downloading using huggingface-cli](#downloading-using-huggingface-cli)\n - [Inference](#inference)\n - [Simple chat template](#simple-chat-template)\n - [Chat template with system prompt](#chat-template-with-system-prompt)\n - [Llama.cpp](#llama-cpp)\n - [FAQ](#faq)\n - [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere)\n - [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf)\n\n---\n\n## Files\n\n### IMatrix\nStatus: ✅ Available \nLink: [here](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/imatrix.dat) \n\n### Common Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [DeepSeek-V2-Lite-Chat.Q8_0.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.Q8_0.gguf) | Q8_0 | 16.70GB | ✅ Available | ⚪ No | 📦 No\n| [DeepSeek-V2-Lite-Chat.Q6_K.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.Q6_K.gguf) | Q6_K | 14.07GB | ✅ Available | ⚪ No | 📦 No\n| [DeepSeek-V2-Lite-Chat.Q4_K.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.Q4_K.gguf) | Q4_K | 10.36GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.Q3_K.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.Q3_K.gguf) | Q3_K | 8.13GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.Q2_K.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.Q2_K.gguf) | Q2_K | 6.43GB | ✅ Available | 🟢 Yes | 📦 No\n\n\n### All Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [DeepSeek-V2-Lite-Chat.FP16.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.FP16.gguf) | F16 | 31.42GB | ✅ Available | ⚪ No | 📦 No\n| [DeepSeek-V2-Lite-Chat.BF16.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.BF16.gguf) | BF16 | 31.42GB | ✅ Available | ⚪ No | 📦 No\n| [DeepSeek-V2-Lite-Chat.Q5_K.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.Q5_K.gguf) | Q5_K | 11.85GB | ✅ Available | ⚪ No | 📦 No\n| [DeepSeek-V2-Lite-Chat.Q5_K_S.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.Q5_K_S.gguf) | Q5_K_S | 11.14GB | ✅ Available | ⚪ No | 📦 No\n| [DeepSeek-V2-Lite-Chat.Q4_K_S.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.Q4_K_S.gguf) | Q4_K_S | 9.53GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.Q3_K_L.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.Q3_K_L.gguf) | Q3_K_L | 8.46GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.Q3_K_S.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.Q3_K_S.gguf) | Q3_K_S | 7.49GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.Q2_K_S.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.Q2_K_S.gguf) | Q2_K_S | 6.46GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.IQ4_NL.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.IQ4_NL.gguf) | IQ4_NL | 8.91GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.IQ4_XS.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.IQ4_XS.gguf) | IQ4_XS | 8.57GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.IQ3_M.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.IQ3_M.gguf) | IQ3_M | 7.55GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.IQ3_S.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.IQ3_S.gguf) | IQ3_S | 7.49GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.IQ3_XS.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.IQ3_XS.gguf) | IQ3_XS | 7.12GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.IQ3_XXS.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.IQ3_XXS.gguf) | IQ3_XXS | 6.96GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.IQ2_M.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.IQ2_M.gguf) | IQ2_M | 6.33GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.IQ2_S.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.IQ2_S.gguf) | IQ2_S | 6.01GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.IQ2_XS.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.IQ2_XS.gguf) | IQ2_XS | 5.97GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.IQ2_XXS.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.IQ2_XXS.gguf) | IQ2_XXS | 5.64GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.IQ1_M.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.IQ1_M.gguf) | IQ1_M | 5.24GB | ✅ Available | 🟢 Yes | 📦 No\n| [DeepSeek-V2-Lite-Chat.IQ1_S.gguf](https://huggingface.co/legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF/blob/main/DeepSeek-V2-Lite-Chat.IQ1_S.gguf) | IQ1_S | 4.99GB | ✅ Available | 🟢 Yes | 📦 No\n\n\n## Downloading using huggingface-cli\nFirst, make sure you have hugginface-cli installed:\n```\npip install -U \"huggingface_hub[cli]\"\n```\nThen, you can target the specific file you want:\n```\nhuggingface-cli download legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF --include \"DeepSeek-V2-Lite-Chat.Q8_0.gguf\" --local-dir ./\n```\nIf the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:\n```\nhuggingface-cli download legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF --include \"DeepSeek-V2-Lite-Chat.Q8_0/*\" --local-dir DeepSeek-V2-Lite-Chat.Q8_0\n# see FAQ for merging GGUF's\n```\n\n---\n\n## Inference\n\n### Simple chat template\n```\n<|begin▁of▁sentence|>User: {user_message_1}\n\nAssistant: {assistant_message_1}<|end▁of▁sentence|>User: {user_message_2}\n\nAssistant:\n```\n\n### Chat template with system prompt\n```\n<|begin▁of▁sentence|>{system_message}\n\nUser: {user_message_1}\n\nAssistant: {assistant_message_1}<|end▁of▁sentence|>User: {user_message_2}\n\nAssistant:\n```\n\n### Llama.cpp\n```\nllama.cpp/main -m DeepSeek-V2-Lite-Chat.Q8_0.gguf --color -i -p \"prompt here (according to the chat template)\"\n```\n\n---\n\n## FAQ\n\n### Why is the IMatrix not applied everywhere?\nAccording to [this investigation](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results). \n\n### How do I merge a split GGUF?\n1. Make sure you have `gguf-split` available\n - To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases\n - Download the appropriate zip for your system from the latest release\n - Unzip the archive and you should be able to find `gguf-split`\n2. Locate your GGUF chunks folder (ex: `DeepSeek-V2-Lite-Chat.Q8_0`)\n3. Run `gguf-split --merge DeepSeek-V2-Lite-Chat.Q8_0/DeepSeek-V2-Lite-Chat.Q8_0-00001-of-XXXXX.gguf DeepSeek-V2-Lite-Chat.Q8_0.gguf`\n - Make sure to point `gguf-split` to the first chunk of the split.\n\n---\n\nGot a suggestion? Ping me [@legraphista](https://x.com/legraphista)!",
"related_quantizations": []
},
"tags": [
"gguf",
"quantized",
"GGUF",
"imatrix",
"quantization",
"imat",
"static",
"text-generation",
"base_model:deepseek-ai/DeepSeek-V2-Lite-Chat",
"base_model:quantized:deepseek-ai/DeepSeek-V2-Lite-Chat",
"region:us",
"conversational"
],
"likes": 11,
"downloads": 966,
"gated": false,
"private": false,
"last_modified": "2024-05-26T13:39:11.000Z",
"created_at": "2024-05-26T11:10:29.000Z",
"pipeline_tag": "text-generation",
"library_name": "gguf"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "665318a5ff6ccc0ef5ba8e65",
"id": "legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF",
"modelId": "legraphista/DeepSeek-V2-Lite-Chat-IMat-GGUF",
"sha": "b6350f4c672640e949652ae480226b25deb88091",
"createdAt": "2024-05-26T11:10:29.000Z",
"lastModified": "2024-05-26T13:39:11.000Z",
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