Model Intelligence Sheet
richarderkhov/slindgren_-_finetuned_qwedn-gguf overview
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Downloads
134
Likes
0
Pipeline
—
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
22 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| finetuned_qwedn.IQ3_M.gguf | GGUF | IQ3_M | 326.87 MB | Download |
| finetuned_qwedn.IQ3_S.gguf | GGUF | IQ3_S | 322.92 MB | Download |
| finetuned_qwedn.IQ3_XS.gguf | GGUF | IQ3_XS | 322.92 MB | Download |
| finetuned_qwedn.IQ4_NL.gguf | GGUF | IQ4_NL | 337.89 MB | Download |
| finetuned_qwedn.IQ4_XS.gguf | GGUF | IQ4_XS | 335.16 MB | Download |
| finetuned_qwedn.Q2_K.gguf | GGUF | Q2_K | 322.92 MB | Download |
| finetuned_qwedn.Q3_K.gguf | GGUF | Q3_K | 339.00 MB | Download |
| finetuned_qwedn.Q3_K_L.gguf | GGUF | Q3_K_L | 352.25 MB | Download |
| finetuned_qwedn.Q3_K_M.gguf | GGUF | Q3_K_M | 339.00 MB | Download |
| finetuned_qwedn.Q3_K_S.gguf | GGUF | Q3_K_S | 322.59 MB | Download |
| finetuned_qwedn.Q4_0.gguf | GGUF | — | 335.84 MB | Download |
| finetuned_qwedn.Q4_1.gguf | GGUF | — | 357.17 MB | Download |
| finetuned_qwedn.Q4_K.gguf | GGUF | Q4_K | 379.38 MB | Download |
| finetuned_qwedn.Q4_K_M.gguf | GGUF | Q4_K_M | 379.38 MB | Download |
| finetuned_qwedn.Q4_K_S.gguf | GGUF | Q4_K_S | 367.61 MB | Download |
| finetuned_qwedn.Q5_0.gguf | GGUF | — | 378.50 MB | Download |
| finetuned_qwedn.Q5_1.gguf | GGUF | — | 399.83 MB | Download |
| finetuned_qwedn.Q5_K.gguf | GGUF | Q5_K | 400.63 MB | Download |
| finetuned_qwedn.Q5_K_M.gguf | GGUF | Q5_K_M | 400.63 MB | Download |
| finetuned_qwedn.Q5_K_S.gguf | GGUF | Q5_K_S | 393.59 MB | Download |
| finetuned_qwedn.Q6_K.gguf | GGUF | Q6_K | 482.31 MB | Download |
| finetuned_qwedn.Q8_0.gguf | GGUF | — | 506.47 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"frontmatter": {},
"hero_image_url": "https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png",
"summary": "This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nfinetuned_qwedn - GGUF\n- Model creator: https://huggingface.co/slindgren/\n- Original model: https://huggingface.co/slindgren/finetuned_qwedn/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [finetuned_qwedn.Q2_K.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q2_K.gguf) | Q2_K | 0.32GB |\n| [finetuned_qwedn.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.IQ3_XS.gguf) | IQ3_XS | 0.32GB |\n| [finetuned_qwedn.IQ3_S.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.IQ3_S.gguf) | IQ3_S | 0.32GB |\n| [finetuned_qwedn.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q3_K_S.gguf) | Q3_K_S | 0.32GB |\n| [finetuned_qwedn.IQ3_M.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.IQ3_M.gguf) | IQ3_M | 0.32GB |\n| [finetuned_qwedn.Q3_K.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q3_K.gguf) | Q3_K | 0.33GB |\n| [finetuned_qwedn.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q3_K_M.gguf) | Q3_K_M | 0.33GB |\n| [finetuned_qwedn.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q3_K_L.gguf) | Q3_K_L | 0.34GB |\n| [finetuned_qwedn.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.IQ4_XS.gguf) | IQ4_XS | 0.33GB |\n| [finetuned_qwedn.Q4_0.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q4_0.gguf) | Q4_0 | 0.33GB |\n| [finetuned_qwedn.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.IQ4_NL.gguf) | IQ4_NL | 0.33GB |\n| [finetuned_qwedn.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q4_K_S.gguf) | Q4_K_S | 0.36GB |\n| [finetuned_qwedn.Q4_K.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q4_K.gguf) | Q4_K | 0.37GB |\n| [finetuned_qwedn.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q4_K_M.gguf) | Q4_K_M | 0.37GB |\n| [finetuned_qwedn.Q4_1.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q4_1.gguf) | Q4_1 | 0.35GB |\n| [finetuned_qwedn.Q5_0.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q5_0.gguf) | Q5_0 | 0.37GB |\n| [finetuned_qwedn.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q5_K_S.gguf) | Q5_K_S | 0.38GB |\n| [finetuned_qwedn.Q5_K.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q5_K.gguf) | Q5_K | 0.39GB |\n| [finetuned_qwedn.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q5_K_M.gguf) | Q5_K_M | 0.39GB |\n| [finetuned_qwedn.Q5_1.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q5_1.gguf) | Q5_1 | 0.39GB |\n| [finetuned_qwedn.Q6_K.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q6_K.gguf) | Q6_K | 0.47GB |\n| [finetuned_qwedn.Q8_0.gguf](https://huggingface.co/RichardErkhov/slindgren_-_finetuned_qwedn-gguf/blob/main/finetuned_qwedn.Q8_0.gguf) | Q8_0 | 0.49GB |\n\n\n\n\nOriginal model description:\n---\nbase_model: unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- qwen2\n- trl\n- sft\nlicense: apache-2.0\nlanguage:\n- en\n---\n\n# Uploaded model\n\n- **Developed by:** slindgren\n- **License:** apache-2.0\n- **Finetuned from model :** unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit\n\nThis qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.\n\n[<img src=\"https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png\" width=\"200\"/>](https://github.com/unslothai/unsloth)\n\n\n",
"related_quantizations": []
},
"tags": [
"gguf",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 134,
"gated": false,
"private": false,
"last_modified": "2025-03-13T14:54:19.000Z",
"created_at": "2025-03-13T14:48:04.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "67d2f024e7bc44f45942c32d",
"id": "RichardErkhov/slindgren_-_finetuned_qwedn-gguf",
"modelId": "RichardErkhov/slindgren_-_finetuned_qwedn-gguf",
"sha": "4b2229058664cf1a51761d30dcdbb8a1cab7064d",
"createdAt": "2025-03-13T14:48:04.000Z",
"lastModified": "2025-03-13T14:54:19.000Z",
"author": "RichardErkhov",
"downloads": 134,
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"gated": false,
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"siblings_count": 24
}