Instructions to use Testament200156/old-MakeGemma3-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Testament200156/old-MakeGemma3-abliterated with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Testament200156/old-MakeGemma3-abliterated", dtype="auto")

llama-cpp-python

How to use Testament200156/old-MakeGemma3-abliterated with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Testament200156/old-MakeGemma3-abliterated",
	filename="GGUF/MakeGemma-28b-it.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Testament200156/old-MakeGemma3-abliterated with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Testament200156/old-MakeGemma3-abliterated:F16
# Run inference directly in the terminal:
llama-cli -hf Testament200156/old-MakeGemma3-abliterated:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Testament200156/old-MakeGemma3-abliterated:F16
# Run inference directly in the terminal:
llama-cli -hf Testament200156/old-MakeGemma3-abliterated: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 Testament200156/old-MakeGemma3-abliterated:F16
# Run inference directly in the terminal:
./llama-cli -hf Testament200156/old-MakeGemma3-abliterated: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 Testament200156/old-MakeGemma3-abliterated:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Testament200156/old-MakeGemma3-abliterated:F16

Use Docker

docker model run hf.co/Testament200156/old-MakeGemma3-abliterated:F16

LM Studio
Jan
Ollama
How to use Testament200156/old-MakeGemma3-abliterated with Ollama:
```
ollama run hf.co/Testament200156/old-MakeGemma3-abliterated:F16
```

Unsloth Studio

How to use Testament200156/old-MakeGemma3-abliterated 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 Testament200156/old-MakeGemma3-abliterated 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 Testament200156/old-MakeGemma3-abliterated to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Testament200156/old-MakeGemma3-abliterated to start chatting

Atomic Chat new
Docker Model Runner
How to use Testament200156/old-MakeGemma3-abliterated with Docker Model Runner:
```
docker model run hf.co/Testament200156/old-MakeGemma3-abliterated:F16
```

Lemonade

How to use Testament200156/old-MakeGemma3-abliterated with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Testament200156/old-MakeGemma3-abliterated:F16

Run and chat with the model

lemonade run user.old-MakeGemma3-abliterated-F16

List all available models

lemonade list

old-MakeGemma3

Note: multilingual feature improvement version has been posted. Please use Testament200156/MakeGemma3-abliterated. This location is currently deprecated. This is a merge of pre-trained language models created using mergekit. I have created a GGUF, so please check the GGUF folder. Since this is an experimental model, there are some defects, mainly in the multilingual functionality. Please use with caution.

Merge Details

Merge Method

This model was merged using the NuSLERP merge method.

Models Merged

The following models were included in the merge:

drwlf/medgemma-27b-it-abliterated
test_base (summykai/gemma3-27b-abliterated-dpo with additional layers added)

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: test_base
    parameters:
      weight: 1.0
  - model: medgemma-27b-it-abliterated
    parameters: 
      weight: 1.0
merge_method: nuslerp
dtype: bfloat16

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Safetensors

Model size

29B params

Tensor type

BF16

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