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ussipan/sipangpt-0.1-llama-3.2-1b-gguf overview
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library. ---
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Pipeline
text-generation
Library
transformers
Visibility
Public
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{
"metadata": {},
"card_data": {
"base_model": "unsloth/Meta-Llama-3.2-1B-Instruct",
"language": [
"en",
"es"
],
"license": "apache-2.0",
"tags": [
"text-generation-inference",
"transformers",
"unsloth",
"llama",
"gguf",
"q4_k_m",
"4bit",
"sharegpt",
"pretaining",
"finetuning",
"Q5_K_M",
"Q8_0"
],
"datasets": [
"ussipan/sipangpt"
],
"pipeline_tag": "text2text-generation",
"new_version": "ussipan/SipanGPT-0.3-Llama-3.2-1B-GGUF",
"frontmatter": {
"base_model": "unsloth/Meta-Llama-3.2-1B-Instruct",
"language": [
"en",
"es"
],
"license": "apache-2.0",
"tags": [
"text-generation-inference",
"transformers",
"unsloth",
"llama",
"gguf",
"q4_k_m",
"4bit",
"sharegpt",
"pretaining",
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"Q5_K_M",
"Q8_0"
],
"datasets": [
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],
"pipeline_tag": "text2text-generation",
"new_version": "ussipan/SipanGPT-0.3-Llama-3.2-1B-GGUF"
},
"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": "---\nbase_model: unsloth/Meta-Llama-3.2-1B-Instruct\nlanguage:\n- en\n- es\nlicense: apache-2.0\ntags:\n- text-generation-inference\n- transformers\n- unsloth\n- llama\n- gguf\n- q4_k_m\n- 4bit\n- sharegpt\n- pretaining\n- finetuning\n- Q5_K_M\n- Q8_0\ndatasets:\n- ussipan/sipangpt\npipeline_tag: text2text-generation\nnew_version: ussipan/SipanGPT-0.3-Llama-3.2-1B-GGUF\n---\n# SipánGPT 0.1 Llama 3.2 1B GGUF\n- Modelo pre-entrenado para responder preguntas de la Universidad Señor de Sipán de Lambayeque, Perú.\n- Pre-trained model to answer questions from the Señor de Sipán University of Lambayeque, Peru.\n\n## Testing the model\n\n\n\n- Debido a la poca cantidad de conversaciones con las que fue entrenado (400 conversaciones), el modelo genera bastantes alucinaciones.\n- Due to the small number of conversations with which it was trained (400 conversations), the model generates quite a few hallucinations.\n\n\n# Uploaded model\n\n- **Developed by:** jhangmez\n- **License:** apache-2.0\n- **Finetuned from model :** unsloth/Meta-Llama-3.2-1B-Instruct\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\n## SipánGPT 0.1 Llama 3.2 1B GGUF\n\n<div style=\"display: flex; align-items: center; height: fit-content;\">\n <img src=\"https://avatars.githubusercontent.com/u/60937214?v=4\" width=\"40\" style=\"margin-right: 10px;\"/>\n <span>Hecho con ❤️ por Jhan Gómez P.</span>\n</div>",
"related_quantizations": []
},
"tags": [
"transformers",
"pytorch",
"gguf",
"llama",
"text-generation",
"text-generation-inference",
"unsloth",
"q4_k_m",
"4bit",
"sharegpt",
"pretaining",
"finetuning",
"Q5_K_M",
"Q8_0",
"text2text-generation",
"conversational",
"en",
"es",
"dataset:ussipan/sipangpt",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
],
"likes": 1,
"downloads": 1137,
"gated": false,
"private": false,
"last_modified": "2024-10-19T21:07:53.000Z",
"created_at": "2024-10-02T23:45:40.000Z",
"pipeline_tag": "text-generation",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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"sha": "8aa88f5f6ad544548711e12628cae7f3574e9cbd",
"createdAt": "2024-10-02T23:45:40.000Z",
"lastModified": "2024-10-19T21:07:53.000Z",
"author": "ussipan",
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"siblings_count": 12
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