Instructions to use lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF", dtype="auto")

llama-cpp-python

How to use lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF",
	filename="Gemma-2-Ataraxy-Remix-9B-Q8_0.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_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 lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF:Q8_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 lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF:Q8_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 lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF:Q8_0

Use Docker

docker model run hf.co/lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF:Q8_0

LM Studio
Jan
Ollama
How to use lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF with Ollama:
```
ollama run hf.co/lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF:Q8_0
```

Unsloth Studio

How to use lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF with Docker Model Runner:
```
docker model run hf.co/lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF:Q8_0
```

Lemonade

How to use lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull lemon07r/Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF:Q8_0

Run and chat with the model

lemonade run user.Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF-Q8_0

List all available models

lemonade list

Gemma-2-Ataraxy-Remix-9B-Q8_0-GGUF

This is the Q8_0 GGUF for people to try while I evaluate my merges.

Another test model. Ignore this for now. Probably wont be good but I am testing a lot of stuff.

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using unsloth/gemma-2-9b-it as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model: unsloth/gemma-2-9b-it
dtype: bfloat16
merge_method: model_stock
slices:
- sources:
  - layer_range: [0, 42]
    model: lemon07r/Gemma-2-Ataraxy-9B
  - layer_range: [0, 42]
    model: lemon07r/Gemma-2-Ataraxy-v2-9B
  - layer_range: [0, 42]
    model: lemon07r/Gemma-2-Ataraxy-v2a-9B
  - layer_range: [0, 42]
    model: jsgreenawalt/gemma-2-9B-it-advanced-v2.1
  - layer_range: [0, 42]
    model: ifable/gemma-2-Ifable-9B
  - layer_range: [0, 42]
    model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
  - layer_range: [0, 42]
    model: princeton-nlp/gemma-2-9b-it-SimPO
  - layer_range: [0, 42]
    model: wzhouad/gemma-2-9b-it-WPO-HB
  - layer_range: [0, 42]
    model: nbeerbower/gemma2-gutenberg-9B
  - layer_range: [0, 42]
    model: grimjim/Gemma2-Nephilim-v3-9B
  - layer_range: [0, 42]
    model: recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp
  - layer_range: [0, 42]
    model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
  - layer_range: [0, 42]
    model: unsloth/gemma-2-9b-it