Instructions to use paul-stansifer/qw3-gemma2-9b-1x2e-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use paul-stansifer/qw3-gemma2-9b-1x2e-4 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 paul-stansifer/qw3-gemma2-9b-1x2e-4:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf paul-stansifer/qw3-gemma2-9b-1x2e-4:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf paul-stansifer/qw3-gemma2-9b-1x2e-4:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf paul-stansifer/qw3-gemma2-9b-1x2e-4: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 paul-stansifer/qw3-gemma2-9b-1x2e-4:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf paul-stansifer/qw3-gemma2-9b-1x2e-4: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 paul-stansifer/qw3-gemma2-9b-1x2e-4:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf paul-stansifer/qw3-gemma2-9b-1x2e-4:Q4_K_M

Use Docker

docker model run hf.co/paul-stansifer/qw3-gemma2-9b-1x2e-4:Q4_K_M

LM Studio
Jan

vLLM

How to use paul-stansifer/qw3-gemma2-9b-1x2e-4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "paul-stansifer/qw3-gemma2-9b-1x2e-4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "paul-stansifer/qw3-gemma2-9b-1x2e-4",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/paul-stansifer/qw3-gemma2-9b-1x2e-4:Q4_K_M

Ollama
How to use paul-stansifer/qw3-gemma2-9b-1x2e-4 with Ollama:
```
ollama run hf.co/paul-stansifer/qw3-gemma2-9b-1x2e-4:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use paul-stansifer/qw3-gemma2-9b-1x2e-4 with Docker Model Runner:
```
docker model run hf.co/paul-stansifer/qw3-gemma2-9b-1x2e-4:Q4_K_M
```

Lemonade

How to use paul-stansifer/qw3-gemma2-9b-1x2e-4 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull paul-stansifer/qw3-gemma2-9b-1x2e-4:Q4_K_M

Run and chat with the model

lemonade run user.qw3-gemma2-9b-1x2e-4-Q4_K_M

List all available models

lemonade list

Atomic Chat

qw3-gemma2-9b-1x2e-4

This model was fine-tuned on the archives of Dinosaur Comics.

Downloads last month: 15

GGUF

Model size

9B params

Architecture

gemma2

Hardware compatibility

4-bit

Model tree for paul-stansifer/qw3-gemma2-9b-1x2e-4

Base model

google/gemma-2-9b

Quantized

unsloth/gemma-2-9b-bnb-4bit

Quantized

(140)

this model

Dataset used to train paul-stansifer/qw3-gemma2-9b-1x2e-4

Evaluation results

loss on Dinosaur Comics
self-reported

2.062