Text Generation
GGUF
English
Hindi
pandacoder
pandalabs
aditya-panda
autonomous-ai
code
software-engineer
llama.cpp
conversational
Instructions to use adityapanda2608112/PandaCoder-Pro-27B 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 adityapanda2608112/PandaCoder-Pro-27B 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 adityapanda2608112/PandaCoder-Pro-27B # Run inference directly in the terminal: llama cli -hf adityapanda2608112/PandaCoder-Pro-27B
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf adityapanda2608112/PandaCoder-Pro-27B # Run inference directly in the terminal: llama cli -hf adityapanda2608112/PandaCoder-Pro-27B
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 adityapanda2608112/PandaCoder-Pro-27B # Run inference directly in the terminal: ./build/bin/llama cli -hf adityapanda2608112/PandaCoder-Pro-27B
Use Docker
docker model run hf.co/adityapanda2608112/PandaCoder-Pro-27B
- Llama new
- LM Studio
- Jan
- vLLM
How to use adityapanda2608112/PandaCoder-Pro-27B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "adityapanda2608112/PandaCoder-Pro-27B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "adityapanda2608112/PandaCoder-Pro-27B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/adityapanda2608112/PandaCoder-Pro-27B
- Ollama
How to use adityapanda2608112/PandaCoder-Pro-27B with Ollama:
ollama run hf.co/adityapanda2608112/PandaCoder-Pro-27B
- Unsloth Desktop
- Docker Model Runner
How to use adityapanda2608112/PandaCoder-Pro-27B with Docker Model Runner:
docker model run hf.co/adityapanda2608112/PandaCoder-Pro-27B
- Lemonade
How to use adityapanda2608112/PandaCoder-Pro-27B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull adityapanda2608112/PandaCoder-Pro-27B
Run and chat with the model
lemonade run user.PandaCoder-Pro-27B-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download PandaCoder-Pro-27B.gguf from adityapanda2608112/PandaCoder-Pro-27B: direct link, hf CLI and curl.
- Browser
- Download file 17.4 GB
-
https://huggingface.co/adityapanda2608112/PandaCoder-Pro-27B/resolve/main/PandaCoder-Pro-27B.gguf
- Command line
-
hf download hf://adityapanda2608112/PandaCoder-Pro-27B/PandaCoder-Pro-27B.gguf
-
curl -L -o PandaCoder-Pro-27B.gguf https://huggingface.co/adityapanda2608112/PandaCoder-Pro-27B/resolve/main/PandaCoder-Pro-27B.gguf
17.4 GB
- Xet hash:
- 2c9a375f8b8300d4415ff0cb688c2197c7a96b410c20d2053e79f65fa847a01f
- Size of remote file:
- 17.4 GB
- SHA256:
- c1e40b5330b5a579ff82d2815d08925630a98fe94a5bd788cc420e5fe3eab7d7
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