Model Intelligence Sheet
seawolf2357/phi-3-mini-128k-instruct-q4_k_m-gguf overview
This model was converted to GGUF format from microsoft/Phi-3-mini-128k-instruct using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
Downloads
92
Likes
0
Pipeline
text-generation
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
1 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| phi-3-mini-128k-instruct.Q4_K_M.gguf | GGUF | Q4_K_M | 2.23 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"language": [
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"license": "mit",
"tags": [
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"license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE",
"pipeline_tag": "text-generation",
"widget": [
{
"messages": [
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"role": "user",
"content": "Can you provide ways to eat combinations of bananas and dragonfruits?"
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"summary": "This model was converted to GGUF format from microsoft/Phi-3-mini-128k-instruct using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlanguage:\n- en\nlicense: mit\ntags:\n- nlp\n- code\n- llama-cpp\n- gguf-my-repo\nlicense_link: https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE\npipeline_tag: text-generation\nwidget:\n- messages:\n - role: user\n content: Can you provide ways to eat combinations of bananas and dragonfruits?\n---\n\n# seawolf2357/Phi-3-mini-128k-instruct-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`microsoft/Phi-3-mini-128k-instruct`](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.\nRefer to the [original model card](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) for more details on the model.\n## Use with llama.cpp\n\nInstall llama.cpp through brew.\n\n```bash\nbrew install ggerganov/ggerganov/llama.cpp\n```\nInvoke the llama.cpp server or the CLI.\n\nCLI:\n\n```bash\nllama-cli --hf-repo seawolf2357/Phi-3-mini-128k-instruct-Q4_K_M-GGUF --model phi-3-mini-128k-instruct.Q4_K_M.gguf -p \"The meaning to life and the universe is\"\n```\n\nServer:\n\n```bash\nllama-server --hf-repo seawolf2357/Phi-3-mini-128k-instruct-Q4_K_M-GGUF --model phi-3-mini-128k-instruct.Q4_K_M.gguf -c 2048\n```\n\nNote: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.\n\n```\ngit clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make && ./main -m phi-3-mini-128k-instruct.Q4_K_M.gguf -n 128\n```\n",
"related_quantizations": []
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"last_modified": "2024-04-28T05:56:17.000Z",
"created_at": "2024-04-28T05:56:08.000Z",
"pipeline_tag": "text-generation",
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Source payload excerpt (from Hugging Face API)
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