Instructions to use NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-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 NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-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 NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF:Q4_0

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 NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF:Q4_0

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 NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF:Q4_0

Use Docker

docker model run hf.co/NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF:Q4_0

LM Studio
Jan

vLLM

How to use NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-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": "NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF:Q4_0

Ollama
How to use NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF with Ollama:
```
ollama run hf.co/NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF:Q4_0
```
Unsloth Desktop
Docker Model Runner
How to use NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF with Docker Model Runner:
```
docker model run hf.co/NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF:Q4_0
```

Lemonade

How to use NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull NikolayKozloff/Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF:Q4_0

Run and chat with the model

lemonade run user.Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF-Q4_0

List all available models

lemonade list

Atomic Chat

Gemma-2-9B-It-SPPO-Iter3-Q4_0-GGUF / gemma-2-9b-it-sppo-iter3-q4_0.gguf

NikolayKozloff

Upload gemma-2-9b-it-sppo-iter3-q4_0.gguf with huggingface_hub

93a84c2 verified about 2 years ago

Download

History Blame

5.44 GB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: 64ff3c4c7b17269e3ef21a505e62cca22cc53a65ea907043061ee994c1ba6171
Size of remote file:: 5.44 GB
SHA256:: 63703cb53de5e7e94ec839fd90007961506cc781f6d10d49d7f65222eb9cdbae

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.