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/tests/test-tokenizer-0.py from AJKADZ/PHI_CODER: direct link, hf CLI and curl.
- Browser
- Download file 2.01 kB
-
https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/tests/test-tokenizer-0.py
- Command line
-
hf download hf://AJKADZ/PHI_CODER/phi-coder-hf/llama.cpp/tests/test-tokenizer-0.py
-
curl -L -o test-tokenizer-0.py https://huggingface.co/AJKADZ/PHI_CODER/resolve/main/phi-coder-hf/llama.cpp/tests/test-tokenizer-0.py
2.01 kB
| import time | |
| import argparse | |
| from transformers import AutoTokenizer | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("dir_tokenizer", help="directory containing 'tokenizer.model' file") | |
| parser.add_argument("--fname-tok", help="path to a text file to tokenize", required=True) | |
| args = parser.parse_args() | |
| dir_tokenizer = args.dir_tokenizer | |
| fname_tok = args.fname_tok | |
| tokenizer = AutoTokenizer.from_pretrained(dir_tokenizer) | |
| print('tokenizing file: ', fname_tok) # noqa: NP100 | |
| fname_out = fname_tok + '.tok' | |
| with open(fname_tok, 'r', encoding='utf-8') as f: | |
| lines = f.readlines() | |
| s = ''.join(lines) | |
| t_start = time.time() | |
| res = tokenizer.encode(s, add_special_tokens=False) | |
| t_end = time.time() | |
| print('\nmain : tokenized in', "{:.3f}".format(1000.0 * (t_end - t_start)), 'ms (py)') # noqa: NP100 | |
| with open(fname_out, 'w', encoding='utf-8') as f: | |
| for x in res: | |
| # LLaMA v3 for some reason strips the space for these tokens (and others) | |
| # if x == 662: | |
| # f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n') | |
| # elif x == 1174: | |
| # f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n') | |
| # elif x == 2564: | |
| # f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n') | |
| # elif x == 758: | |
| # f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n') | |
| # elif x == 949: | |
| # f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n') | |
| # elif x == 5354: | |
| # f.write(str(x) + ' \' ' + tokenizer.decode(x) + '\'\n') | |
| # else: | |
| # f.write(str(x) + ' \'' + tokenizer.decode(x) + '\'\n') | |
| # f.write(str(x) + ' \'' + tokenizer.decode(x).strip() + '\'\n') | |
| f.write(str(x) + '\n') | |
| print('len(res): ', len(res)) # noqa: NP100 | |
| print('len(lines): ', len(lines)) # noqa: NP100 | |
| print('results written to: ', fname_out) # noqa: NP100 | |