Model Intelligence Sheet
richarderkhov/lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf overview
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Downloads
133
Likes
0
Pipeline
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Library
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Visibility
Public
Access
Open
Repository Files & Downloads
19 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| llama_3.2_1b_sft_merged_unsloth.IQ4_NL.gguf | GGUF | IQ4_NL | 4.38 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.IQ4_XS.gguf | GGUF | IQ4_XS | 4.18 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q2_K.gguf | GGUF | Q2_K | 2.96 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q3_K.gguf | GGUF | Q3_K | 3.74 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q3_K_L.gguf | GGUF | Q3_K_L | 4.03 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q3_K_M.gguf | GGUF | Q3_K_M | 3.74 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q3_K_S.gguf | GGUF | Q3_K_S | 3.41 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q4_0.gguf | GGUF | — | 4.34 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q4_1.gguf | GGUF | — | 4.78 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q4_K.gguf | GGUF | Q4_K | 4.58 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q4_K_M.gguf | GGUF | Q4_K_M | 4.58 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q4_K_S.gguf | GGUF | Q4_K_S | 4.37 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q5_0.gguf | GGUF | — | 5.21 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q5_1.gguf | GGUF | — | 5.65 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q5_K.gguf | GGUF | Q5_K | 5.34 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q5_K_M.gguf | GGUF | Q5_K_M | 5.34 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q5_K_S.gguf | GGUF | Q5_K_S | 5.21 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q6_K.gguf | GGUF | Q6_K | 6.14 GB | Download |
| llama_3.2_1b_sft_merged_unsloth.Q8_0.gguf | GGUF | — | 7.95 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\nllama_3.2_1b_sft_merged_unsloth - GGUF\n- Model creator: https://huggingface.co/Lekhansh/\n- Original model: https://huggingface.co/Lekhansh/llama_3.2_1b_sft_merged_unsloth/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [llama_3.2_1b_sft_merged_unsloth.Q2_K.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q2_K.gguf) | Q2_K | 2.96GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q3_K_S.gguf) | Q3_K_S | 3.41GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q3_K.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q3_K.gguf) | Q3_K | 3.74GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q3_K_M.gguf) | Q3_K_M | 3.74GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q3_K_L.gguf) | Q3_K_L | 4.03GB |\n| [llama_3.2_1b_sft_merged_unsloth.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.IQ4_XS.gguf) | IQ4_XS | 4.18GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q4_0.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q4_0.gguf) | Q4_0 | 4.34GB |\n| [llama_3.2_1b_sft_merged_unsloth.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.IQ4_NL.gguf) | IQ4_NL | 4.38GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q4_K_S.gguf) | Q4_K_S | 4.37GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q4_K.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q4_K.gguf) | Q4_K | 4.58GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q4_K_M.gguf) | Q4_K_M | 4.58GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q4_1.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q4_1.gguf) | Q4_1 | 4.78GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q5_0.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q5_0.gguf) | Q5_0 | 5.21GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q5_K_S.gguf) | Q5_K_S | 5.21GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q5_K.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q5_K.gguf) | Q5_K | 5.34GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q5_K_M.gguf) | Q5_K_M | 5.34GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q5_1.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q5_1.gguf) | Q5_1 | 5.65GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q6_K.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q6_K.gguf) | Q6_K | 6.14GB |\n| [llama_3.2_1b_sft_merged_unsloth.Q8_0.gguf](https://huggingface.co/RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf/blob/main/llama_3.2_1b_sft_merged_unsloth.Q8_0.gguf) | Q8_0 | 7.95GB |\n\n\n\n\nOriginal model description:\n---\nbase_model: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- llama\n- trl\nlicense: apache-2.0\nlanguage:\n- en\n---\n\n# Uploaded model\n\n- **Developed by:** Lekhansh\n- **License:** apache-2.0\n- **Finetuned from model :** unsloth/Meta-Llama-3.1-8B-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": 133,
"gated": false,
"private": false,
"last_modified": "2024-10-26T08:22:49.000Z",
"created_at": "2024-10-26T05:38:03.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "671c803b02737c628d72e0e5",
"id": "RichardErkhov/Lekhansh_-_llama_3.2_1b_sft_merged_unsloth-gguf",
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"sha": "4fecfdd4646d0c96e35148cd697a63bd8268632e",
"createdAt": "2024-10-26T05:38:03.000Z",
"lastModified": "2024-10-26T08:22:49.000Z",
"author": "RichardErkhov",
"downloads": 133,
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"siblings_count": 21
}