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

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

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 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/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 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

PandaCoder-Pro-27B / README.md

adityapanda2608112

Update README.md

cf9647b verified 6 days ago

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---
license: apache-2.0
language:
- en
- hi
pipeline_tag: text-generation
library_name: gguf
tags:
- pandacoder
- pandalabs
- aditya-panda
- autonomous-ai
- code
- software-engineer
- gguf
- llama.cpp
---
# 🐼 PandaCoder-Pro-27B

**PandaCoder Pro 27B** is an autonomous AI Software Engineering model created and developed by **Aditya Panda** at **PandaLabs**.

### 🌟 Overview:
PandaCoder Pro is engineered for autonomous reasoning, direct repository inspections, zero-shot full-stack code synthesis, automated bug debugging, and tool-augmented development.

### ⚙️ Technical Specifications:
- **Model Name**: PandaCoder-Pro-27B
- **Author**: Aditya Panda
- **Organization**: PandaLabs
- **Parameters**: 27.32 Billion
- **Format**: GGUF
- **File Size**: 16.24 GiB
- **Context Length**: 16,384 tokens
- **License**: Apache 2.0
- **Native Chat Template**: Pre-baked system identity for Aditya Panda (PandaLabs)

### 🏢 Developed at:
**PandaLabs** by **Aditya Panda**.

	---
	license: apache-2.0
	language:
	- en
	- hi
	pipeline_tag: text-generation
	library_name: gguf
	tags:
	- pandacoder
	- pandalabs
	- aditya-panda
	- autonomous-ai
	- code
	- software-engineer
	- gguf
	- llama.cpp
	---

	# 🐼 PandaCoder-Pro-27B

	PandaCoder Pro 27B is an autonomous AI Software Engineering model created and developed by Aditya Panda at PandaLabs.

	### 🌟 Overview:
	PandaCoder Pro is engineered for autonomous reasoning, direct repository inspections, zero-shot full-stack code synthesis, automated bug debugging, and tool-augmented development.

	### ⚙️ Technical Specifications:
	- Model Name: PandaCoder-Pro-27B
	- Author: Aditya Panda
	- Organization: PandaLabs
	- Parameters: 27.32 Billion
	- Format: GGUF
	- File Size: 16.24 GiB
	- Context Length: 16,384 tokens
	- License: Apache 2.0
	- Native Chat Template: Pre-baked system identity for Aditya Panda (PandaLabs)

	### 🏢 Developed at:
	PandaLabs by Aditya Panda.