Model Intelligence Sheet
mradermacher/l3.1-70blivion-v0.1-rc1-70b-gguf overview
About static quants of https://huggingface.co/invisietch/L3.1-70Blivion-v0.1-rc1-70B weighted/imatrix quants are available at https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-i1-GGUF
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Pipeline
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Library
transformers
Visibility
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Repository Files & Downloads
9 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| L3.1-70Blivion-v0.1-rc1-70B.IQ4_XS.gguf | GGUF | IQ4_XS | 35.64 GB | Download |
| L3.1-70Blivion-v0.1-rc1-70B.Q2_K.gguf | GGUF | Q2_K | 24.56 GB | Download |
| L3.1-70Blivion-v0.1-rc1-70B.Q3_K_L.gguf | GGUF | Q3_K_L | 34.59 GB | Download |
| L3.1-70Blivion-v0.1-rc1-70B.Q3_K_M.gguf | GGUF | Q3_K_M | 31.91 GB | Download |
| L3.1-70Blivion-v0.1-rc1-70B.Q3_K_S.gguf | GGUF | Q3_K_S | 28.79 GB | Download |
| L3.1-70Blivion-v0.1-rc1-70B.Q4_K_M.gguf | GGUF | Q4_K_M | 39.60 GB | Download |
| L3.1-70Blivion-v0.1-rc1-70B.Q4_K_S.gguf | GGUF | Q4_K_S | 37.58 GB | Download |
| L3.1-70Blivion-v0.1-rc1-70B.Q5_K_M.gguf | GGUF | Q5_K_M | 46.52 GB | Download |
| L3.1-70Blivion-v0.1-rc1-70B.Q5_K_S.gguf | GGUF | Q5_K_S | 45.32 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "invisietch/L3.1-70Blivion-v0.1-rc1-70B",
"language": [
"en"
],
"library_name": "transformers",
"license": "llama3.1",
"quantized_by": "mradermacher",
"tags": [
"not-for-all-audiences",
"axolotl",
"qlora"
],
"frontmatter": {
"base_model": "invisietch/L3.1-70Blivion-v0.1-rc1-70B",
"language": [
"en"
],
"library_name": "transformers",
"license": "llama3.1",
"quantized_by": "mradermacher",
"tags": [
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},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/invisietch/L3.1-70Blivion-v0.1-rc1-70B weighted/imatrix quants are available at https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-i1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: invisietch/L3.1-70Blivion-v0.1-rc1-70B\nlanguage:\n- en\nlibrary_name: transformers\nlicense: llama3.1\nquantized_by: mradermacher\ntags:\n- not-for-all-audiences\n- axolotl\n- qlora\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: -->\nstatic quants of https://huggingface.co/invisietch/L3.1-70Blivion-v0.1-rc1-70B\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-i1-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/L3.1-70Blivion-v0.1-rc1-70B-GGUF/resolve/main/L3.1-70Blivion-v0.1-rc1-70B.Q2_K.gguf) | Q2_K | 26.5 | |\n| [GGUF](https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-GGUF/resolve/main/L3.1-70Blivion-v0.1-rc1-70B.Q3_K_S.gguf) | Q3_K_S | 31.0 | |\n| [GGUF](https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-GGUF/resolve/main/L3.1-70Blivion-v0.1-rc1-70B.Q3_K_M.gguf) | Q3_K_M | 34.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-GGUF/resolve/main/L3.1-70Blivion-v0.1-rc1-70B.Q3_K_L.gguf) | Q3_K_L | 37.2 | |\n| [GGUF](https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-GGUF/resolve/main/L3.1-70Blivion-v0.1-rc1-70B.IQ4_XS.gguf) | IQ4_XS | 38.4 | |\n| [GGUF](https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-GGUF/resolve/main/L3.1-70Blivion-v0.1-rc1-70B.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-GGUF/resolve/main/L3.1-70Blivion-v0.1-rc1-70B.Q4_K_M.gguf) | Q4_K_M | 42.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-GGUF/resolve/main/L3.1-70Blivion-v0.1-rc1-70B.Q5_K_S.gguf) | Q5_K_S | 48.8 | |\n| [GGUF](https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-GGUF/resolve/main/L3.1-70Blivion-v0.1-rc1-70B.Q5_K_M.gguf) | Q5_K_M | 50.0 | |\n| [PART 1](https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-GGUF/resolve/main/L3.1-70Blivion-v0.1-rc1-70B.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-GGUF/resolve/main/L3.1-70Blivion-v0.1-rc1-70B.Q6_K.gguf.part2of2) | Q6_K | 58.0 | very good quality |\n| [PART 1](https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-GGUF/resolve/main/L3.1-70Blivion-v0.1-rc1-70B.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/L3.1-70Blivion-v0.1-rc1-70B-GGUF/resolve/main/L3.1-70Blivion-v0.1-rc1-70B.Q8_0.gguf.part2of2) | Q8_0 | 75.1 | fast, best quality |\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",
"not-for-all-audiences",
"axolotl",
"qlora",
"en",
"base_model:invisietch/L3.1-70Blivion-v0.1-rc1-70B",
"base_model:quantized:invisietch/L3.1-70Blivion-v0.1-rc1-70B",
"license:llama3.1",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
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"gated": false,
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"last_modified": "2024-12-10T01:30:58.000Z",
"created_at": "2024-10-26T17:09:40.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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