Model Intelligence Sheet
mradermacher/vidhaan-72b-legal-gguf overview
About static quants of https://huggingface.co/SharathReddy/Vidhaan-72B-Legal For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/Vidhaan-72B-Legal-i1-GGUF
Downloads
582
Likes
0
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
11 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Vidhaan-72B-Legal.IQ4_XS.gguf | GGUF | IQ4_XS | 37.40 GB | Download |
| Vidhaan-72B-Legal.Q2_K.gguf | GGUF | Q2_K | 27.76 GB | Download |
| Vidhaan-72B-Legal.Q3_K_L.gguf | GGUF | Q3_K_L | 36.79 GB | Download |
| Vidhaan-72B-Legal.Q3_K_M.gguf | GGUF | Q3_K_M | 35.11 GB | Download |
| Vidhaan-72B-Legal.Q3_K_S.gguf | GGUF | Q3_K_S | 32.12 GB | Download |
| Vidhaan-72B-Legal.Q4_K_M.gguf | GGUF | Q4_K_M | 44.16 GB | Download |
| Vidhaan-72B-Legal.Q4_K_S.gguf | GGUF | Q4_K_S | 40.88 GB | Download |
| Vidhaan-72B-Legal.Q5_K_M.gguf | GGUF | Q5_K_M | 50.71 GB | Download |
| Vidhaan-72B-Legal.Q5_K_S.gguf | GGUF | Q5_K_S | 47.85 GB | Download |
| Vidhaan-72B-Legal.Q6_K.gguf | GGUF | Q6_K | 59.93 GB | Download |
| Vidhaan-72B-Legal.Q8_0.gguf | GGUF | — | 71.96 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "SharathReddy/Vidhaan-72B-Legal",
"datasets": [
"SharathReddy/Indian-Legal-SFT-Dataset"
],
"language": [
"en",
"hi"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"legal",
"indian-law",
"qwen",
"sft"
],
"frontmatter": {
"base_model": "SharathReddy/Vidhaan-72B-Legal",
"datasets": [
"SharathReddy/Indian-Legal-SFT-Dataset"
],
"language": [
"en",
"hi"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": [],
"quantized_by": "mradermacher",
"tags": [
"legal",
"indian-law",
"qwen",
"sft"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/SharathReddy/Vidhaan-72B-Legal ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Vidhaan-72B-Legal-i1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: SharathReddy/Vidhaan-72B-Legal\ndatasets:\n- SharathReddy/Indian-Legal-SFT-Dataset\nlanguage:\n- en\n- hi\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- legal\n- indian-law\n- qwen\n- sft\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: -->\n<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip: -->\n<!-- ### skip_mmproj: -->\nstatic quants of https://huggingface.co/SharathReddy/Vidhaan-72B-Legal\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Vidhaan-72B-Legal-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Vidhaan-72B-Legal-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/Vidhaan-72B-Legal-GGUF/resolve/main/Vidhaan-72B-Legal.Q2_K.gguf) | Q2_K | 29.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Vidhaan-72B-Legal-GGUF/resolve/main/Vidhaan-72B-Legal.Q3_K_S.gguf) | Q3_K_S | 34.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Vidhaan-72B-Legal-GGUF/resolve/main/Vidhaan-72B-Legal.Q3_K_M.gguf) | Q3_K_M | 37.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Vidhaan-72B-Legal-GGUF/resolve/main/Vidhaan-72B-Legal.Q3_K_L.gguf) | Q3_K_L | 39.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Vidhaan-72B-Legal-GGUF/resolve/main/Vidhaan-72B-Legal.IQ4_XS.gguf) | IQ4_XS | 40.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Vidhaan-72B-Legal-GGUF/resolve/main/Vidhaan-72B-Legal.Q4_K_S.gguf) | Q4_K_S | 44.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Vidhaan-72B-Legal-GGUF/resolve/main/Vidhaan-72B-Legal.Q4_K_M.gguf) | Q4_K_M | 47.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Vidhaan-72B-Legal-GGUF/resolve/main/Vidhaan-72B-Legal.Q5_K_S.gguf) | Q5_K_S | 51.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Vidhaan-72B-Legal-GGUF/resolve/main/Vidhaan-72B-Legal.Q5_K_M.gguf) | Q5_K_M | 54.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Vidhaan-72B-Legal-GGUF/resolve/main/Vidhaan-72B-Legal.Q6_K.gguf) | Q6_K | 64.4 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Vidhaan-72B-Legal-GGUF/resolve/main/Vidhaan-72B-Legal.Q8_0.gguf) | Q8_0 | 77.4 | 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",
"legal",
"indian-law",
"qwen",
"sft",
"en",
"hi",
"dataset:SharathReddy/Indian-Legal-SFT-Dataset",
"base_model:SharathReddy/Vidhaan-72B-Legal",
"base_model:quantized:SharathReddy/Vidhaan-72B-Legal",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 582,
"gated": false,
"private": false,
"last_modified": "2026-03-26T13:10:47.000Z",
"created_at": "2026-03-25T01:31:53.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "69c33b09f65f24df02450261",
"id": "mradermacher/Vidhaan-72B-Legal-GGUF",
"modelId": "mradermacher/Vidhaan-72B-Legal-GGUF",
"sha": "e0d49aa4a1e076292d6f4be00249f5bb621685b2",
"createdAt": "2026-03-25T01:31:53.000Z",
"lastModified": "2026-03-26T13:10:47.000Z",
"author": "mradermacher",
"downloads": 582,
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"gated": false,
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"pipeline_tag": "",
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"siblings_count": 13
}