backyardai/llama-3-70b-uncensored-lumi-tess-gradient-gguf IQ2_XS 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
backyardai/llama-3-70b-uncensored-lumi-tess-gradient-gguf overview
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Downloads
151
Likes
3
Pipeline
—
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
28 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.F32-split-00001-of-00006.gguf | GGUF | F32 | 46.09 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.F32-split-00002-of-00006.gguf | GGUF | F32 | 46.38 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.F32-split-00003-of-00006.gguf | GGUF | F32 | 46.06 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.F32-split-00004-of-00006.gguf | GGUF | F32 | 46.38 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.F32-split-00005-of-00006.gguf | GGUF | F32 | 46.06 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.F32-split-00006-of-00006.gguf | GGUF | F32 | 31.88 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ1_M.gguf | GGUF | IQ1_M | 15.60 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ1_S.gguf | GGUF | IQ1_S | 14.29 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ2_M.gguf | GGUF | IQ2_M | 22.46 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ2_S.gguf | GGUF | IQ2_S | 20.71 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ2_XS.gguf | GGUF | IQ2_XS | 19.69 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ2_XXS.gguf | GGUF | IQ2_XXS | 17.79 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ3_M.gguf | GGUF | IQ3_M | 29.74 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ3_S.gguf | GGUF | IQ3_S | 28.79 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ3_XS.gguf | GGUF | IQ3_XS | 27.29 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ3_XXS.gguf | GGUF | IQ3_XXS | 25.58 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.IQ4_XS.gguf | GGUF | IQ4_XS | 35.30 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q3_K_L.gguf | GGUF | Q3_K_L | 34.59 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q3_K_M.gguf | GGUF | Q3_K_M | 31.91 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q3_K_S.gguf | GGUF | Q3_K_S | 28.79 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q4_K_M.gguf | GGUF | Q4_K_M | 39.60 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q4_K_S.gguf | GGUF | Q4_K_S | 37.58 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q5_K_M.gguf | GGUF | Q5_K_M | 46.52 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q5_K_S.gguf | GGUF | Q5_K_S | 45.32 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q6_K-split-00001-of-00002.gguf | GGUF | Q6_K | 46.43 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q6_K-split-00002-of-00002.gguf | GGUF | Q6_K | 7.49 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q8_0-split-00001-of-00002.gguf | GGUF | — | 46.35 GB | Download |
| Llama-3-70b-Uncensored-Lumi-Tess-gradient.Q8_0-split-00002-of-00002.gguf | GGUF | — | 23.48 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"tags": [
"uncencored",
"llama-3",
"tess",
"lumimaid",
"Lumi-tess"
],
"base_model": "ryzen88/Llama-3-70b-Uncensored-Lumi-Tess-gradient",
"model_name": "Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF",
"quantized_by": "brooketh",
"parameter_count": 70553706496,
"frontmatter": {
"tags": [
"uncencored",
"llama-3",
"tess",
"lumimaid",
"Lumi-tess"
],
"base_model": "ryzen88/Llama-3-70b-Uncensored-Lumi-Tess-gradient",
"model_name": "Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF",
"quantized_by": "brooketh",
"parameter_count": "70553706496"
},
"hero_image_url": "BackyardAI_Banner.png",
"summary": "***",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\ntags:\n- uncencored\n- llama-3\n- tess\n- lumimaid\n- Lumi-tess\nbase_model: ryzen88/Llama-3-70b-Uncensored-Lumi-Tess-gradient\nmodel_name: Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF\nquantized_by: brooketh\nparameter_count: 70553706496\n---\n<img src=\"BackyardAI_Banner.png\" alt=\"Backyard.ai\" style=\"height: 90px; min-width: 32px; display: block; margin: auto;\">\n\n**<p style=\"text-align: center;\">The official library of GGUF format models for use in the local AI chat app, Backyard AI.</p>**\n\n<p style=\"text-align: center;\"><a href=\"https://backyard.ai/\">Download Backyard AI here to get started.</a></p>\n\n<p style=\"text-align: center;\"><a href=\"https://www.reddit.com/r/LLM_Quants/\">Request Additional models at r/LLM_Quants.</a></p>\n\n***\n# Llama 3 Uncensored Lumi Tess Gradient 70B\n- **Creator:** [ryzen88](https://huggingface.co/ryzen88/)\n- **Original:** [Llama 3 Uncensored Lumi Tess Gradient 70B](https://huggingface.co/ryzen88/Llama-3-70b-Uncensored-Lumi-Tess-gradient)\n- **Date Created:** 2024-05-10\n- **Trained Context:** 262144 tokens\n- **Description:** Good Llama3 uncensored model with a long context, made using a breadcrumb ties merger of Instruct-gradient, Lumimaid, and Tess models. Works with a very wide range of sampler settings.\n***\n## What is a GGUF?\nGGUF is a large language model (LLM) format that can be split between CPU and GPU. GGUFs are compatible with applications based on llama.cpp, such as Backyard AI. Where other model formats require higher end GPUs with ample VRAM, GGUFs can be efficiently run on a wider variety of hardware.\nGGUF models are quantized to reduce resource usage, with a tradeoff of reduced coherence at lower quantizations. Quantization reduces the precision of the model weights by changing the number of bits used for each weight.\n\n***\n<img src=\"BackyardAI_Logo.png\" alt=\"Backyard.ai\" style=\"height: 75px; min-width: 32px; display: block; horizontal align: left;\">\n\n## Backyard AI\n- Free, local AI chat application.\n- One-click installation on Mac and PC.\n- Automatically use GPU for maximum speed.\n- Built-in model manager.\n- High-quality character hub.\n- Zero-config desktop-to-mobile tethering.\nBackyard AI makes it easy to start chatting with AI using your own characters or one of the many found in the built-in character hub. The model manager helps you find the latest and greatest models without worrying about whether it's the correct format. Backyard AI supports advanced features such as lorebooks, author's note, text formatting, custom context size, sampler settings, grammars, local TTS, cloud inference, and tethering, all implemented in a way that is straightforward and reliable.\n**Join us on [Discord](https://discord.gg/SyNN2vC9tQ)**\n***",
"related_quantizations": []
},
"tags": [
"gguf",
"uncencored",
"llama-3",
"tess",
"lumimaid",
"Lumi-tess",
"base_model:ryzen88/Llama-3-70b-Uncensored-Lumi-Tess-gradient",
"base_model:quantized:ryzen88/Llama-3-70b-Uncensored-Lumi-Tess-gradient",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 3,
"downloads": 151,
"gated": false,
"private": false,
"last_modified": "2024-06-07T15:12:45.000Z",
"created_at": "2024-06-07T12:38:01.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6662ff2941ba4b1997b2dcd1",
"id": "backyardai/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF",
"modelId": "backyardai/Llama-3-70b-Uncensored-Lumi-Tess-gradient-GGUF",
"sha": "b47458f8b4455b92d90e85bb12e1991740d23ecf",
"createdAt": "2024-06-07T12:38:01.000Z",
"lastModified": "2024-06-07T15:12:45.000Z",
"author": "backyardai",
"downloads": 151,
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"pipeline_tag": "",
"library_name": "",
"siblings_count": 33
}