Text Generation
GGUF
English
Spanish
Catalan
rag
retrieval-augmented-generation
lora
phi4
multilingual
ollama
conversational
Instructions to use nadiva1243/phi4RAG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use nadiva1243/phi4RAG with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf nadiva1243/phi4RAG:Q4_K_M # Run inference directly in the terminal: llama cli -hf nadiva1243/phi4RAG:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf nadiva1243/phi4RAG:Q4_K_M # Run inference directly in the terminal: llama cli -hf nadiva1243/phi4RAG:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf nadiva1243/phi4RAG:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf nadiva1243/phi4RAG:Q4_K_M
Use Docker
docker model run hf.co/nadiva1243/phi4RAG:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use nadiva1243/phi4RAG with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nadiva1243/phi4RAG" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nadiva1243/phi4RAG", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/nadiva1243/phi4RAG:Q4_K_M
- Ollama
How to use nadiva1243/phi4RAG with Ollama:
ollama run hf.co/nadiva1243/phi4RAG:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use nadiva1243/phi4RAG with Docker Model Runner:
docker model run hf.co/nadiva1243/phi4RAG:Q4_K_M
- Lemonade
How to use nadiva1243/phi4RAG with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull nadiva1243/phi4RAG:Q4_K_M
Run and chat with the model
lemonade run user.phi4RAG-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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@@ -57,8 +57,8 @@ This Hugging Face model repo ships **inference assets** (`Phi4-Q4_K_M.gguf`), th
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| `r` |
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| `lora_alpha` |
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| `lora_dropout` | 0.05 |
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| `target_modules` | `q_proj`, `k_proj`, `v_proj`, `o_proj`, `gate_proj`, `up_proj`, `down_proj` |
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| `bias` | `none` |
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| Setting | Value |
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| `r` | 64 |
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| `lora_alpha` | 128 |
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| `lora_dropout` | 0.05 |
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| `target_modules` | `q_proj`, `k_proj`, `v_proj`, `o_proj`, `gate_proj`, `up_proj`, `down_proj` |
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| `bias` | `none` |
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