Model Intelligence Sheet
mradermacher/nemotron-3-8b-chat-4k-sft-hf-gguf overview
About static quants of https://huggingface.co/mgoin/nemotron-3-8b-chat-4k-sft-hf weighted/imatrix quants are available at https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-i1-GGUF
Downloads
179
Likes
3
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
15 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| nemotron-3-8b-chat-4k-sft-hf.IQ3_M.gguf | GGUF | IQ3_M | 3.97 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.IQ3_S.gguf | GGUF | IQ3_S | 3.81 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.IQ3_XS.gguf | GGUF | IQ3_XS | 3.69 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.IQ4_XS.gguf | GGUF | IQ4_XS | 4.55 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.Q2_K.gguf | GGUF | Q2_K | 3.40 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.Q3_K_L.gguf | GGUF | Q3_K_L | 4.58 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.Q3_K_M.gguf | GGUF | Q3_K_M | 4.22 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.Q3_K_S.gguf | GGUF | Q3_K_S | 3.81 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.Q4_K_M.gguf | GGUF | Q4_K_M | 5.06 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.Q4_K_S.gguf | GGUF | Q4_K_S | 4.77 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.Q5_K_M.gguf | GGUF | Q5_K_M | 5.77 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.Q5_K_S.gguf | GGUF | Q5_K_S | 5.61 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.Q6_K.gguf | GGUF | Q6_K | 6.53 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.Q8_0.gguf | GGUF | — | 8.46 GB | Download |
| nemotron-3-8b-chat-4k-sft-hf.f16.gguf | GGUF | F16 | 15.91 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "mgoin/nemotron-3-8b-chat-4k-sft-hf",
"language": [
"en"
],
"library_name": "transformers",
"quantized_by": "mradermacher",
"tags": [
"vllm"
],
"frontmatter": {
"base_model": "mgoin/nemotron-3-8b-chat-4k-sft-hf",
"language": [
"en"
],
"library_name": "transformers",
"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/mgoin/nemotron-3-8b-chat-4k-sft-hf weighted/imatrix quants are available at https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-i1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: mgoin/nemotron-3-8b-chat-4k-sft-hf\nlanguage:\n- en\nlibrary_name: transformers\nquantized_by: mradermacher\ntags:\n- vllm\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/mgoin/nemotron-3-8b-chat-4k-sft-hf\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-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/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.Q2_K.gguf) | Q2_K | 3.8 | |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.IQ3_XS.gguf) | IQ3_XS | 4.1 | |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.IQ3_S.gguf) | IQ3_S | 4.2 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.Q3_K_S.gguf) | Q3_K_S | 4.2 | |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.IQ3_M.gguf) | IQ3_M | 4.4 | |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.Q3_K_M.gguf) | Q3_K_M | 4.6 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.IQ4_XS.gguf) | IQ4_XS | 5.0 | |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.Q3_K_L.gguf) | Q3_K_L | 5.0 | |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.Q4_K_S.gguf) | Q4_K_S | 5.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.Q4_K_M.gguf) | Q4_K_M | 5.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.Q5_K_S.gguf) | Q5_K_S | 6.1 | |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.Q5_K_M.gguf) | Q5_K_M | 6.3 | |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.Q6_K.gguf) | Q6_K | 7.1 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.Q8_0.gguf) | Q8_0 | 9.2 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/nemotron-3-8b-chat-4k-sft-hf-GGUF/resolve/main/nemotron-3-8b-chat-4k-sft-hf.f16.gguf) | f16 | 17.2 | 16 bpw, overkill |\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",
"vllm",
"en",
"base_model:mgoin/nemotron-3-8b-chat-4k-sft-hf",
"base_model:quantized:mgoin/nemotron-3-8b-chat-4k-sft-hf",
"endpoints_compatible",
"region:us"
],
"likes": 3,
"downloads": 179,
"gated": false,
"private": false,
"last_modified": "2024-08-16T21:30:12.000Z",
"created_at": "2024-08-16T08:16:29.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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"createdAt": "2024-08-16T08:16:29.000Z",
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