mradermacher/chatgpt-2.v2-gguf Q4_K_M 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
mradermacher/chatgpt-2.v2-gguf overview
About static quants of https://huggingface.co/suriya7/ChatGPT-2.V2 weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Downloads
647
Likes
2
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
13 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| ChatGPT-2.V2.IQ4_XS.gguf | GGUF | IQ4_XS | 454.43 MB | Download |
| ChatGPT-2.V2.Q2_K.gguf | GGUF | Q2_K | 329.51 MB | Download |
| ChatGPT-2.V2.Q3_K_L.gguf | GGUF | Q3_K_L | 470.66 MB | Download |
| ChatGPT-2.V2.Q3_K_M.gguf | GGUF | Q3_K_M | 437.06 MB | Download |
| ChatGPT-2.V2.Q3_K_S.gguf | GGUF | Q3_K_S | 375.73 MB | Download |
| ChatGPT-2.V2.Q4_0_4_4.gguf | GGUF | — | 473.53 MB | Download |
| ChatGPT-2.V2.Q4_K_M.gguf | GGUF | Q4_K_M | 523.63 MB | Download |
| ChatGPT-2.V2.Q4_K_S.gguf | GGUF | Q4_K_S | 476.66 MB | Download |
| ChatGPT-2.V2.Q5_K_M.gguf | GGUF | Q5_K_M | 602.93 MB | Download |
| ChatGPT-2.V2.Q5_K_S.gguf | GGUF | Q5_K_S | 565.58 MB | Download |
| ChatGPT-2.V2.Q6_K.gguf | GGUF | Q6_K | 663.37 MB | Download |
| ChatGPT-2.V2.Q8_0.gguf | GGUF | — | 856.57 MB | Download |
| ChatGPT-2.V2.f16.gguf | GGUF | F16 | 1.57 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "suriya7/ChatGPT-2.V2",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"model_name": "ChatGPT-2.V2",
"quantized_by": "mradermacher",
"tags": [
"conversational-ai",
"fine-tuning",
"gpt2",
"causal-lm",
"chatbots"
],
"frontmatter": {
"base_model": "suriya7/ChatGPT-2.V2",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"model_name": "ChatGPT-2.V2",
"quantized_by": "mradermacher",
"tags": [
"conversational-ai",
"fine-tuning",
"gpt2",
"causal-lm",
"chatbots"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/suriya7/ChatGPT-2.V2 weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: suriya7/ChatGPT-2.V2\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmodel_name: ChatGPT-2.V2\nquantized_by: mradermacher\ntags:\n- conversational-ai\n- fine-tuning\n- gpt2\n- causal-lm\n- chatbots\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: nicoboss -->\nstatic quants of https://huggingface.co/suriya7/ChatGPT-2.V2\n\n<!-- provided-files -->\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\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/ChatGPT-2.V2-GGUF/resolve/main/ChatGPT-2.V2.Q2_K.gguf) | Q2_K | 0.4 | |\n| [GGUF](https://huggingface.co/mradermacher/ChatGPT-2.V2-GGUF/resolve/main/ChatGPT-2.V2.Q3_K_S.gguf) | Q3_K_S | 0.5 | |\n| [GGUF](https://huggingface.co/mradermacher/ChatGPT-2.V2-GGUF/resolve/main/ChatGPT-2.V2.Q3_K_M.gguf) | Q3_K_M | 0.6 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/ChatGPT-2.V2-GGUF/resolve/main/ChatGPT-2.V2.IQ4_XS.gguf) | IQ4_XS | 0.6 | |\n| [GGUF](https://huggingface.co/mradermacher/ChatGPT-2.V2-GGUF/resolve/main/ChatGPT-2.V2.Q3_K_L.gguf) | Q3_K_L | 0.6 | |\n| [GGUF](https://huggingface.co/mradermacher/ChatGPT-2.V2-GGUF/resolve/main/ChatGPT-2.V2.Q4_0_4_4.gguf) | Q4_0_4_4 | 0.6 | fast on arm, low quality |\n| [GGUF](https://huggingface.co/mradermacher/ChatGPT-2.V2-GGUF/resolve/main/ChatGPT-2.V2.Q4_K_S.gguf) | Q4_K_S | 0.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/ChatGPT-2.V2-GGUF/resolve/main/ChatGPT-2.V2.Q4_K_M.gguf) | Q4_K_M | 0.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/ChatGPT-2.V2-GGUF/resolve/main/ChatGPT-2.V2.Q5_K_S.gguf) | Q5_K_S | 0.7 | |\n| [GGUF](https://huggingface.co/mradermacher/ChatGPT-2.V2-GGUF/resolve/main/ChatGPT-2.V2.Q5_K_M.gguf) | Q5_K_M | 0.7 | |\n| [GGUF](https://huggingface.co/mradermacher/ChatGPT-2.V2-GGUF/resolve/main/ChatGPT-2.V2.Q6_K.gguf) | Q6_K | 0.8 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/ChatGPT-2.V2-GGUF/resolve/main/ChatGPT-2.V2.Q8_0.gguf) | Q8_0 | 1.0 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/ChatGPT-2.V2-GGUF/resolve/main/ChatGPT-2.V2.f16.gguf) | f16 | 1.8 | 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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"conversational-ai",
"fine-tuning",
"gpt2",
"causal-lm",
"chatbots",
"en",
"base_model:suriya7/ChatGPT-2.V2",
"base_model:quantized:suriya7/ChatGPT-2.V2",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
],
"likes": 2,
"downloads": 647,
"gated": false,
"private": false,
"last_modified": "2024-11-27T10:19:28.000Z",
"created_at": "2024-11-27T10:17:18.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6746f1ae12dab28ba7daad0a",
"id": "mradermacher/ChatGPT-2.V2-GGUF",
"modelId": "mradermacher/ChatGPT-2.V2-GGUF",
"sha": "9b5b01389977011107503d461adeaf2cd0c08287",
"createdAt": "2024-11-27T10:17:18.000Z",
"lastModified": "2024-11-27T10:19:28.000Z",
"author": "mradermacher",
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}