legraphista/openchat-3.6-8b-20240522-imat-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/openchat-3.6-8b-20240522-imat-gguf overview
Llama.cpp imatrix quantization of openchat/openchat-3.6-8b-20240522 Original Model: openchat/openchat-3.6-8b-20240522 Original dtype: BF16 (bfloat16) Quantized by: llama.cpp b3006 IMatrix dataset: here ---
Downloads
18,191
Likes
1
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 |
|---|---|---|---|---|
| openchat-3.6-8b-20240522.BF16.gguf | GGUF | BF16 | 14.97 GB | Download |
| openchat-3.6-8b-20240522.FP16.gguf | GGUF | — | 14.97 GB | Download |
| openchat-3.6-8b-20240522.IQ1_M.gguf | GGUF | IQ1_M | 2.01 GB | Download |
| openchat-3.6-8b-20240522.IQ1_S.gguf | GGUF | IQ1_S | 1.88 GB | Download |
| openchat-3.6-8b-20240522.IQ2_M.gguf | GGUF | IQ2_M | 2.75 GB | Download |
| openchat-3.6-8b-20240522.IQ2_S.gguf | GGUF | IQ2_S | 2.57 GB | Download |
| openchat-3.6-8b-20240522.IQ2_XS.gguf | GGUF | IQ2_XS | 2.43 GB | Download |
| openchat-3.6-8b-20240522.IQ2_XXS.gguf | GGUF | IQ2_XXS | 2.23 GB | Download |
| openchat-3.6-8b-20240522.IQ3_M.gguf | GGUF | IQ3_M | 3.52 GB | Download |
| openchat-3.6-8b-20240522.IQ3_S.gguf | GGUF | IQ3_S | 3.43 GB | Download |
| openchat-3.6-8b-20240522.IQ3_XS.gguf | GGUF | IQ3_XS | 3.28 GB | Download |
| openchat-3.6-8b-20240522.IQ3_XXS.gguf | GGUF | IQ3_XXS | 3.05 GB | Download |
| openchat-3.6-8b-20240522.IQ4_NL.gguf | GGUF | IQ4_NL | 4.36 GB | Download |
| openchat-3.6-8b-20240522.IQ4_XS.gguf | GGUF | IQ4_XS | 4.14 GB | Download |
| openchat-3.6-8b-20240522.Q2_K.gguf | GGUF | Q2_K | 2.96 GB | Download |
| openchat-3.6-8b-20240522.Q2_K_S.gguf | GGUF | Q2_K_S | 2.78 GB | Download |
| openchat-3.6-8b-20240522.Q3_K.gguf | GGUF | Q3_K | 3.74 GB | Download |
| openchat-3.6-8b-20240522.Q3_K_L.gguf | GGUF | Q3_K_L | 4.03 GB | Download |
| openchat-3.6-8b-20240522.Q3_K_S.gguf | GGUF | Q3_K_S | 3.41 GB | Download |
| openchat-3.6-8b-20240522.Q4_K.gguf | GGUF | Q4_K | 4.58 GB | Download |
| openchat-3.6-8b-20240522.Q4_K_S.gguf | GGUF | Q4_K_S | 4.37 GB | Download |
| openchat-3.6-8b-20240522.Q5_K.gguf | GGUF | Q5_K | 5.34 GB | Download |
| openchat-3.6-8b-20240522.Q5_K_S.gguf | GGUF | Q5_K_S | 5.21 GB | Download |
| openchat-3.6-8b-20240522.Q6_K.gguf | GGUF | Q6_K | 6.14 GB | Download |
| openchat-3.6-8b-20240522.Q8_0.gguf | GGUF | — | 7.95 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "openchat/openchat-3.6-8b-20240522",
"inference": false,
"library_name": "gguf",
"license": "llama3",
"pipeline_tag": "text-generation",
"quantized_by": "legraphista",
"tags": [
"quantized",
"GGUF",
"imatrix",
"quantization",
"imat",
"imatrix",
"static"
],
"frontmatter": {
"base_model": "openchat/openchat-3.6-8b-20240522",
"inference": "false",
"library_name": "gguf",
"license": "llama3",
"pipeline_tag": "text-generation",
"quantized_by": "legraphista",
"tags": [
"quantized",
"GGUF",
"imatrix",
"quantization",
"imat",
"imatrix",
"static"
]
},
"hero_image_url": "",
"summary": "_Llama.cpp imatrix quantization of openchat/openchat-3.6-8b-20240522_ Original Model: openchat/openchat-3.6-8b-20240522 Original dtype: BF16 (bfloat16) Quantized by: llama.cpp b3006 IMatrix dataset: here ---",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: openchat/openchat-3.6-8b-20240522\ninference: false\nlibrary_name: gguf\nlicense: llama3\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# openchat-3.6-8b-20240522-IMat-GGUF\n_Llama.cpp imatrix quantization of openchat/openchat-3.6-8b-20240522_\n\nOriginal Model: [openchat/openchat-3.6-8b-20240522](https://huggingface.co/openchat/openchat-3.6-8b-20240522) \nOriginal dtype: `BF16` (`bfloat16`) \nQuantized by: llama.cpp [b3006](https://github.com/ggerganov/llama.cpp/releases/tag/b3006) \nIMatrix dataset: [here](https://gist.githubusercontent.com/legraphista/d6d93f1a254bcfc58e0af3777eaec41e/raw/d380e7002cea4a51c33fffd47db851942754e7cc/imatrix.calibration.medium.raw) \n\n- [openchat-3.6-8b-20240522-IMat-GGUF](#openchat-3-6-8b-20240522-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/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/imatrix.dat) \n\n### Common Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [openchat-3.6-8b-20240522.Q8_0.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q8_0.gguf) | Q8_0 | 8.54GB | ✅ Available | ⚪ Static | 📦 No\n| [openchat-3.6-8b-20240522.Q6_K.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q6_K.gguf) | Q6_K | 6.60GB | ✅ Available | ⚪ Static | 📦 No\n| [openchat-3.6-8b-20240522.Q4_K.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q4_K.gguf) | Q4_K | 4.92GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.Q3_K.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q3_K.gguf) | Q3_K | 4.02GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.Q2_K.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q2_K.gguf) | Q2_K | 3.18GB | ✅ Available | 🟢 IMatrix | 📦 No\n\n\n### All Quants\n| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |\n| -------- | ---------- | --------- | ------ | ------------ | -------- |\n| [openchat-3.6-8b-20240522.FP16.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.FP16.gguf) | F16 | 16.07GB | ✅ Available | ⚪ Static | 📦 No\n| [openchat-3.6-8b-20240522.BF16.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.BF16.gguf) | BF16 | 16.07GB | ✅ Available | ⚪ Static | 📦 No\n| [openchat-3.6-8b-20240522.Q5_K.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q5_K.gguf) | Q5_K | 5.73GB | ✅ Available | ⚪ Static | 📦 No\n| [openchat-3.6-8b-20240522.Q5_K_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q5_K_S.gguf) | Q5_K_S | 5.60GB | ✅ Available | ⚪ Static | 📦 No\n| [openchat-3.6-8b-20240522.Q4_K_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q4_K_S.gguf) | Q4_K_S | 4.69GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.Q3_K_L.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q3_K_L.gguf) | Q3_K_L | 4.32GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.Q3_K_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q3_K_S.gguf) | Q3_K_S | 3.66GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.Q2_K_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q2_K_S.gguf) | Q2_K_S | 2.99GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.IQ4_NL.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ4_NL.gguf) | IQ4_NL | 4.68GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.IQ4_XS.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ4_XS.gguf) | IQ4_XS | 4.45GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.IQ3_M.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ3_M.gguf) | IQ3_M | 3.78GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.IQ3_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ3_S.gguf) | IQ3_S | 3.68GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.IQ3_XS.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ3_XS.gguf) | IQ3_XS | 3.52GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.IQ3_XXS.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ3_XXS.gguf) | IQ3_XXS | 3.27GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.IQ2_M.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ2_M.gguf) | IQ2_M | 2.95GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.IQ2_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ2_S.gguf) | IQ2_S | 2.76GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.IQ2_XS.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ2_XS.gguf) | IQ2_XS | 2.61GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.IQ2_XXS.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ2_XXS.gguf) | IQ2_XXS | 2.40GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.IQ1_M.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ1_M.gguf) | IQ1_M | 2.16GB | ✅ Available | 🟢 IMatrix | 📦 No\n| [openchat-3.6-8b-20240522.IQ1_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ1_S.gguf) | IQ1_S | 2.02GB | ✅ Available | 🟢 IMatrix | 📦 No\n\n\n## Downloading using huggingface-cli\nIf you do not have hugginface-cli installed:\n```\npip install -U \"huggingface_hub[cli]\"\n```\nDownload the specific file you want:\n```\nhuggingface-cli download legraphista/openchat-3.6-8b-20240522-IMat-GGUF --include \"openchat-3.6-8b-20240522.Q8_0.gguf\" --local-dir ./\n```\nIf the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:\n```\nhuggingface-cli download legraphista/openchat-3.6-8b-20240522-IMat-GGUF --include \"openchat-3.6-8b-20240522.Q8_0/*\" --local-dir openchat-3.6-8b-20240522.Q8_0\n# see FAQ for merging GGUF's\n```\n\n---\n\n## Inference\n\n### Simple chat template\n```\n<|begin_of_text|><|start_header_id|>GPT4 Correct User<|end_header_id|>\n\nCan you provide ways to eat combinations of bananas and dragonfruits?<|eot_id|><|start_header_id|>GPT4 Correct Assistant<|end_header_id|>\n\nSure! Here are some ways to eat bananas and dragonfruits together:\n 1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.\n 2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|eot_id|><|start_header_id|>GPT4 Correct User<|end_header_id|>\n\nWhat about solving an 2x + 3 = 7 equation?<|eot_id|>\n```\n\n### Chat template with system prompt\n```\n<|begin_of_text|><|start_header_id|>System<|end_header_id|>\n\nYou are a helpful AI.<|eot_id|><|start_header_id|>GPT4 Correct User<|end_header_id|>\n\nCan you provide ways to eat combinations of bananas and dragonfruits?<|eot_id|><|start_header_id|>GPT4 Correct Assistant<|end_header_id|>\n\nSure! Here are some ways to eat bananas and dragonfruits together:\n 1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.\n 2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|eot_id|><|start_header_id|>GPT4 Correct User<|end_header_id|>\n\nWhat about solving an 2x + 3 = 7 equation?<|eot_id|>\n```\n\n### Llama.cpp\n```\nllama.cpp/main -m openchat-3.6-8b-20240522.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: `openchat-3.6-8b-20240522.Q8_0`)\n3. Run `gguf-split --merge openchat-3.6-8b-20240522.Q8_0/openchat-3.6-8b-20240522.Q8_0-00001-of-XXXXX.gguf openchat-3.6-8b-20240522.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:openchat/openchat-3.6-8b-20240522",
"base_model:quantized:openchat/openchat-3.6-8b-20240522",
"license:llama3",
"region:us",
"conversational"
],
"likes": 1,
"downloads": 18191,
"gated": false,
"private": false,
"last_modified": "2024-05-27T11:10:30.000Z",
"created_at": "2024-05-27T10:30:41.000Z",
"pipeline_tag": "text-generation",
"library_name": "gguf"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "665460d110b07146b8142929",
"id": "legraphista/openchat-3.6-8b-20240522-IMat-GGUF",
"modelId": "legraphista/openchat-3.6-8b-20240522-IMat-GGUF",
"sha": "f3bbb21ea061e33895b34eaeee3b5fa090254f79",
"createdAt": "2024-05-27T10:30:41.000Z",
"lastModified": "2024-05-27T11:10:30.000Z",
"author": "legraphista",
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"pipeline_tag": "text-generation",
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}