Instructions to use ViorikaAI-org/CalmaCatCoder-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use ViorikaAI-org/CalmaCatCoder-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 ViorikaAI-org/CalmaCatCoder-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf ViorikaAI-org/CalmaCatCoder-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ViorikaAI-org/CalmaCatCoder-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf ViorikaAI-org/CalmaCatCoder-GGUF:F16

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 ViorikaAI-org/CalmaCatCoder-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf ViorikaAI-org/CalmaCatCoder-GGUF:F16

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 ViorikaAI-org/CalmaCatCoder-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ViorikaAI-org/CalmaCatCoder-GGUF:F16

Use Docker

docker model run hf.co/ViorikaAI-org/CalmaCatCoder-GGUF:F16

LM Studio
Jan

vLLM

How to use ViorikaAI-org/CalmaCatCoder-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ViorikaAI-org/CalmaCatCoder-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ViorikaAI-org/CalmaCatCoder-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ViorikaAI-org/CalmaCatCoder-GGUF:F16

Ollama
How to use ViorikaAI-org/CalmaCatCoder-GGUF with Ollama:
```
ollama run hf.co/ViorikaAI-org/CalmaCatCoder-GGUF:F16
```
Unsloth Desktop
Docker Model Runner
How to use ViorikaAI-org/CalmaCatCoder-GGUF with Docker Model Runner:
```
docker model run hf.co/ViorikaAI-org/CalmaCatCoder-GGUF:F16
```

Lemonade

How to use ViorikaAI-org/CalmaCatCoder-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ViorikaAI-org/CalmaCatCoder-GGUF:F16

Run and chat with the model

lemonade run user.CalmaCatCoder-GGUF-F16

List all available models

lemonade list

Atomic Chat

Dmitriy-Zemskov commited on Jul 27

Commit

d3e8921

verified ·

1 Parent(s): 019e0f3

Update README.md

Browse files

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README.md +2 -2

README.md CHANGED Viewed

@@ -36,7 +36,7 @@ This repository contains quantized **GGUF** weights optimized for `llama.cpp`, O
 ## 🔗 Original Weights
 For PyTorch / SafeTensors base weights and fine-tuning:
-👉 **Original Repository:** [ViorikaAI/CalmaCatCoder](https://huggingface.co/ViorikaAI/CalmaCatCoder)
 ---
@@ -71,7 +71,7 @@ Distributed under the **CalmaCat Public License (CCPL-1.0)**. See [LICENSE](./LI
 ## 🔗 Оригинальные веса
 Если вам нужны исходные веса в формате PyTorch / SafeTensors для дообучения:
-👉 **Основной репозиторий:** [ViorikaAI/CalmaCatCoder](https://huggingface.co/ViorikaAI/CalmaCatCoder)
 ---

 ## 🔗 Original Weights
 For PyTorch / SafeTensors base weights and fine-tuning:
+👉 **Original Repository:** [ViorikaAI/CalmaCatCoder](https://huggingface.co/ViorikaAI-org/CalmaCatCoder)
 ---
 ## 🔗 Оригинальные веса
 Если вам нужны исходные веса в формате PyTorch / SafeTensors для дообучения:
+👉 **Основной репозиторий:** [ViorikaAI/CalmaCatCoder](https://huggingface.co/ViorikaAI-org/CalmaCatCoder)
 ---