Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF

Instructions to use tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF", device_map="auto")

llama-cpp-python

How to use tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF",
	filename="Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-Q4_K.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 tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-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 tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-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 tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-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 tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0

Use Docker

docker model run hf.co/tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0

LM Studio
Jan
Ollama
How to use tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF with Ollama:
```
ollama run hf.co/tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0
```

Unsloth Studio

How to use tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-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 tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-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 tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF to start chatting

How to use tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Docker Model Runner
How to use tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF with Docker Model Runner:
```
docker model run hf.co/tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0
```

Lemonade

How to use tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tinybiggames/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF:Q4_0

Run and chat with the model

lemonade run user.Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF-Q4_0

List all available models

lemonade list

tinybiggames

huihui-ai commited on Jun 15

Commit

00bb8e5

0 Parent(s):

Duplicate from huihui-ai/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF

Browse files

Files changed (6) hide show

.gitattributes +39 -0
Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-Q4_K.gguf +3 -0
Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-bf16.gguf +3 -0
README.md +76 -0
mmproj-model-bf16.gguf +3 -0
mtp-ggml-model-bf16.gguf +3 -0

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README.md ADDED Viewed

	@@ -0,0 +1,76 @@

+---
+---
+library_name: transformers
+license: apache-2.0
+license_link: https://ai.google.dev/gemma/docs/gemma_4_license
+pipeline_tag: any-to-any
+base_model:
+- google/gemma-4-E4B-it-qat-q4_0-unquantized
+tags:
+- abliterated
+- uncensored
+---
+# huihui-ai/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF
+This is an uncensored version of [google/gemma-4-E4B-it-qat-q4_0-unquantized](https://huggingface.co/google/gemma-4-E4B-it-qat-q4_0-unquantized) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
+This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.
+## ollama
+Please use the latest version of [ollama](https://github.com/ollama/ollama/releases/)
+You can use [huihui_ai/gemma-4-abliterated:E4B-qat](https://ollama.com/huihui_ai/gemma-4-abliterated:E4B-qat) directly,
+```
+ollama run huihui_ai/gemma-4-abliterated:E4B-qat
+```
+## GGUF
+Please use the latest version of [ggml-org/llama.cpp](https://github.com/ggml-org/llama.cpp/releases)
+```
+apt-get update
+apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
+git clone https://github.com/ggml-org/llama.cpp
+cmake llama.cpp -B llama.cpp/build \
+    -DBUILD_SHARED_LIBS=OFF -DGGML_CUDA=ON
+cmake --build llama.cpp/build --config Release -j --clean-first --target llama-cli llama-mtmd-cli llama-server llama-gguf-split
+cp llama.cpp/build/bin/llama-* llama.cpp
+```
+```
+./llama.cpp/llama-cli \
+    -m huihui-ai/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-Q4_K.gguf \
+    -ngl 99 -c 262144 \
+    --spec-type draft-mtp \
+    --spec-draft-n-max 4 \
+    --spec-draft-model huihui-ai/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF/mtp-ggml-model-bf16.gguf
+```
+### Usage Warnings
+ - **Risk of Sensitive or Controversial Outputs**: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.
+ - **Not Suitable for All Audiences**: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.
+ - **Legal and Ethical Responsibilities**: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.
+ - **Research and Experimental Use**: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.
+ - **Monitoring and Review Recommendations**: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.
+ - **No Default Safety Guarantees**: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.
+### Donation
+##### Your donation helps us continue our further development and improvement, a cup of coffee can do it.
+- bitcoin:
+```
+  bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge
+```
+- Support our work on [Ko-fi](https://ko-fi.com/huihuiai)!

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