Instructions to use AJKADZ/PHI_CODER 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 AJKADZ/PHI_CODER 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 AJKADZ/PHI_CODER:Q4_K_M # Run inference directly in the terminal: llama cli -hf AJKADZ/PHI_CODER:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf AJKADZ/PHI_CODER:Q4_K_M # Run inference directly in the terminal: llama cli -hf AJKADZ/PHI_CODER: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 AJKADZ/PHI_CODER:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf AJKADZ/PHI_CODER: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 AJKADZ/PHI_CODER:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf AJKADZ/PHI_CODER:Q4_K_M
Use Docker
docker model run hf.co/AJKADZ/PHI_CODER:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use AJKADZ/PHI_CODER with Ollama:
ollama run hf.co/AJKADZ/PHI_CODER:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use AJKADZ/PHI_CODER with Docker Model Runner:
docker model run hf.co/AJKADZ/PHI_CODER:Q4_K_M
- Lemonade
How to use AJKADZ/PHI_CODER with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AJKADZ/PHI_CODER:Q4_K_M
Run and chat with the model
lemonade run user.PHI_CODER-Q4_K_M
List all available models
lemonade list
- Atomic Chat
|
Download phi-coder-hf/llama.cpp/examples/retrieval/README.md from AJKADZ/PHI_CODER: direct link, hf CLI and curl.
- Browser
- Download file 2.21 kB
-
https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/examples/retrieval/README.md
- Command line
-
hf download hf://AJKADZ/PHI_CODER/phi-coder-hf/llama.cpp/examples/retrieval/README.md
-
curl -L -o README.md https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/examples/retrieval/README.md
2.21 kB
| # llama.cpp/examples/retrieval | |
| Demonstration of simple retrieval technique based on cosine similarity | |
| More info: | |
| https://github.com/ggml-org/llama.cpp/pull/6193 | |
| ### How to use | |
| `retieval.cpp` has parameters of its own: | |
| - `--context-file`: file to be embedded - state this option multiple times to embed multiple files | |
| - `--chunk-size`: minimum size of each text chunk to be embedded | |
| - `--chunk-separator`: STRING to divide chunks by. newline by default | |
| `retrieval` example can be tested as follows: | |
| ```bash | |
| make -j && ./llama-retrieval --model ./models/bge-base-en-v1.5-f16.gguf --top-k 3 --context-file README.md --context-file License --chunk-size 100 --chunk-separator . | |
| ``` | |
| This chunks and embeds all given files and starts a loop requesting query inputs: | |
| ``` | |
| Enter query: | |
| ``` | |
| On each query input, top k chunks are shown along with file name, chunk position within file and original text: | |
| ``` | |
| Enter query: describe the mit license | |
| batch_decode: n_tokens = 6, n_seq = 1 | |
| Top 3 similar chunks: | |
| filename: README.md | |
| filepos: 119 | |
| similarity: 0.762334 | |
| textdata: | |
| png) | |
| [](https://opensource.org/licenses/MIT) | |
| [Roadmap](https://github. | |
| -------------------- | |
| filename: License | |
| filepos: 0 | |
| similarity: 0.725146 | |
| textdata: | |
| MIT License | |
| Copyright (c) 2023 Georgi Gerganov | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the Software is | |
| furnished to do so, subject to the following conditions: | |
| The above copyright notice and this permission notice shall be included in all | |
| copies or substantial portions of the Software. | |
| -------------------- | |
| filename: README.md | |
| filepos: 9178 | |
| similarity: 0.621722 | |
| textdata: | |
| com/cztomsik/ava) (MIT) | |
| - [ptsochantaris/emeltal](https://github.com/ptsochantaris/emeltal) | |
| - [pythops/tenere](https://github. | |
| -------------------- | |
| ``` | |