Text Generation
GGUF
Merge
mergekit
lazymergekit
rhysjones/phi-2-orange
cognitivecomputations/dolphin-2_6-phi-2
ggml
quantized
q2_k
q3_k_m
q4_k_m
q5_k_m
q6_k
q8_0
Instructions to use afrideva/phi-2-psy-GGUF 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 afrideva/phi-2-psy-GGUF 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 afrideva/phi-2-psy-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf afrideva/phi-2-psy-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf afrideva/phi-2-psy-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf afrideva/phi-2-psy-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf afrideva/phi-2-psy-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf afrideva/phi-2-psy-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf afrideva/phi-2-psy-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf afrideva/phi-2-psy-GGUF:Q4_K_M
Use Docker
docker model run hf.co/afrideva/phi-2-psy-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use afrideva/phi-2-psy-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "afrideva/phi-2-psy-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "afrideva/phi-2-psy-GGUF", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/afrideva/phi-2-psy-GGUF:Q4_K_M
- Ollama
How to use afrideva/phi-2-psy-GGUF with Ollama:
ollama run hf.co/afrideva/phi-2-psy-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use afrideva/phi-2-psy-GGUF with Docker Model Runner:
docker model run hf.co/afrideva/phi-2-psy-GGUF:Q4_K_M
- Lemonade
How to use afrideva/phi-2-psy-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull afrideva/phi-2-psy-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.phi-2-psy-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download phi-2-psy.fp16.gguf from afrideva/phi-2-psy-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 5.56 GB
-
https://huggingface.co/afrideva/phi-2-psy-GGUF/resolve/3b81e7bd41d83af5a7df13450fdd70904f0c8368/phi-2-psy.fp16.gguf
- Command line
-
hf download hf://afrideva/phi-2-psy-GGUF@3b81e7bd41d83af5a7df13450fdd70904f0c8368/phi-2-psy.fp16.gguf
-
curl -L -o phi-2-psy.fp16.gguf https://huggingface.co/afrideva/phi-2-psy-GGUF/resolve/3b81e7bd41d83af5a7df13450fdd70904f0c8368/phi-2-psy.fp16.gguf
5.56 GB
- Xet hash:
- 0bcaa7e857513af9c16ecfa47c400109275b8caadf0e1839ce2911d4fb542955
- Size of remote file:
- 5.56 GB
- SHA256:
- fa9cf110f62d2a1d62758d98bd6235fbc5655800c377eccfcb3434a470350f2d
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