Model Intelligence Sheet
richarderkhov/disi-unibo-nlp_-_phi3.5-sft-medqa-triples-nographeval-cot-gguf overview
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Downloads
279
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 |
|---|---|---|---|---|
| phi3.5-SFT-medqa-triples-nographeval-cot.IQ3_M.gguf | GGUF | IQ3_M | 1.65 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.IQ3_S.gguf | GGUF | IQ3_S | 1.57 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.IQ3_XS.gguf | GGUF | IQ3_XS | 1.49 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.IQ4_NL.gguf | GGUF | IQ4_NL | 2.04 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.IQ4_XS.gguf | GGUF | IQ4_XS | 1.93 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q2_K.gguf | GGUF | Q2_K | 1.35 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q3_K.gguf | GGUF | Q3_K | 1.75 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q3_K_L.gguf | GGUF | Q3_K_L | 1.90 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q3_K_M.gguf | GGUF | Q3_K_M | 1.75 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q3_K_S.gguf | GGUF | Q3_K_S | 1.57 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q4_0.gguf | GGUF | — | 2.03 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q4_1.gguf | GGUF | — | 2.24 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q4_K.gguf | GGUF | Q4_K | 2.16 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q4_K_M.gguf | GGUF | Q4_K_M | 2.16 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q4_K_S.gguf | GGUF | Q4_K_S | 2.04 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q5_0.gguf | GGUF | — | 2.46 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q5_1.gguf | GGUF | — | 2.68 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q5_K.gguf | GGUF | Q5_K | 2.53 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q5_K_M.gguf | GGUF | Q5_K_M | 2.53 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q5_K_S.gguf | GGUF | Q5_K_S | 2.46 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q6_K.gguf | GGUF | Q6_K | 2.92 GB | Download |
| phi3.5-SFT-medqa-triples-nographeval-cot.Q8_0.gguf | GGUF | — | 3.78 GB | 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 llama 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\nphi3.5-SFT-medqa-triples-nographeval-cot - GGUF\n- Model creator: https://huggingface.co/disi-unibo-nlp/\n- Original model: https://huggingface.co/disi-unibo-nlp/phi3.5-SFT-medqa-triples-nographeval-cot/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q2_K.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q2_K.gguf) | Q2_K | 1.35GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.IQ3_XS.gguf) | IQ3_XS | 1.49GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.IQ3_S.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.IQ3_S.gguf) | IQ3_S | 1.57GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q3_K_S.gguf) | Q3_K_S | 1.57GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.IQ3_M.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.IQ3_M.gguf) | IQ3_M | 1.65GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q3_K.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q3_K.gguf) | Q3_K | 1.75GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q3_K_M.gguf) | Q3_K_M | 1.75GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q3_K_L.gguf) | Q3_K_L | 1.9GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.IQ4_XS.gguf) | IQ4_XS | 1.93GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q4_0.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q4_0.gguf) | Q4_0 | 2.03GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.IQ4_NL.gguf) | IQ4_NL | 2.04GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q4_K_S.gguf) | Q4_K_S | 2.04GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q4_K.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q4_K.gguf) | Q4_K | 2.16GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q4_K_M.gguf) | Q4_K_M | 2.16GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q4_1.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q4_1.gguf) | Q4_1 | 2.24GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q5_0.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q5_0.gguf) | Q5_0 | 2.46GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q5_K_S.gguf) | Q5_K_S | 2.46GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q5_K.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q5_K.gguf) | Q5_K | 2.53GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q5_K_M.gguf) | Q5_K_M | 2.53GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q5_1.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q5_1.gguf) | Q5_1 | 2.68GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q6_K.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q6_K.gguf) | Q6_K | 2.92GB |\n| [phi3.5-SFT-medqa-triples-nographeval-cot.Q8_0.gguf](https://huggingface.co/RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf/blob/main/phi3.5-SFT-medqa-triples-nographeval-cot.Q8_0.gguf) | Q8_0 | 3.78GB |\n\n\n\n\nOriginal model description:\n---\nbase_model: unsloth/phi-3.5-mini-instruct-bnb-4bit\nlanguage:\n- en\nlicense: apache-2.0\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- llama\n- trl\n---\n\n# Uploaded model\n\n- **Developed by:** disi-unibo-nlp\n- **License:** apache-2.0\n- **Finetuned from model :** unsloth/phi-3.5-mini-instruct-bnb-4bit\n\nThis llama 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": 279,
"gated": false,
"private": false,
"last_modified": "2025-04-19T03:07:21.000Z",
"created_at": "2025-04-19T02:28:05.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "68030a357e546bc80920c23e",
"id": "RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf",
"modelId": "RichardErkhov/disi-unibo-nlp_-_phi3.5-SFT-medqa-triples-nographeval-cot-gguf",
"sha": "df7c96b58ab557453831d0c4664eccd285bae6a4",
"createdAt": "2025-04-19T02:28:05.000Z",
"lastModified": "2025-04-19T03:07:21.000Z",
"author": "RichardErkhov",
"downloads": 279,
"likes": 0,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "",
"siblings_count": 24
}