Instructions to use htg0922/dama-aibrain-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 htg0922/dama-aibrain-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 htg0922/dama-aibrain-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf htg0922/dama-aibrain-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf htg0922/dama-aibrain-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf htg0922/dama-aibrain-GGUF: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 htg0922/dama-aibrain-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf htg0922/dama-aibrain-GGUF: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 htg0922/dama-aibrain-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf htg0922/dama-aibrain-GGUF:Q4_K_M

Use Docker

docker model run hf.co/htg0922/dama-aibrain-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use htg0922/dama-aibrain-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "htg0922/dama-aibrain-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": "htg0922/dama-aibrain-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/htg0922/dama-aibrain-GGUF:Q4_K_M

Ollama
How to use htg0922/dama-aibrain-GGUF with Ollama:
```
ollama run hf.co/htg0922/dama-aibrain-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use htg0922/dama-aibrain-GGUF with Docker Model Runner:
```
docker model run hf.co/htg0922/dama-aibrain-GGUF:Q4_K_M
```

Lemonade

How to use htg0922/dama-aibrain-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull htg0922/dama-aibrain-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.dama-aibrain-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

dama-aibrain-GGUF

Quantized GGUF versions of htg0922/dama-aibrain.

Available Quantizations

Q8_0: High precision 8-bit quantization (dama-aibrain-q8_0.gguf)
Q4_K_M: Standard medium 4-bit quantization (dama-aibrain-q4_k_m.gguf)

Usage with LM Studio

Open LM Studio.
Search for htg0922/dama-aibrain-GGUF.
Download the desired quantization (e.g. Q8_0 or Q4_K_M).
Chat with the model!

Usage with Ollama

Create a Modelfile:

FROM ./dama-aibrain-q8_0.gguf
TEMPLATE """<bos><start_of_turn>user
{{ .Prompt }}<end_of_turn>
<start_of_turn>model
{{ .Response }}<end_of_turn>"""
PARAMETER stop "<end_of_turn>"
PARAMETER stop "<eos>"

Then run:

ollama create dama-aibrain -f Modelfile
ollama run dama-aibrain

Downloads last month: 150

GGUF

Model size

5B params

Architecture

gemma4

Hardware compatibility

4-bit

8-bit

Model tree for htg0922/dama-aibrain-GGUF

Base model

htg0922/dama-aibrain

Quantized

(1)

this model