Instructions to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive", filename="Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-IQ3_M.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M # Run inference directly in the terminal: llama-cli -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M # Run inference directly in the terminal: llama-cli -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive: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 HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive: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 HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
Use Docker
docker model run hf.co/HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
- Ollama
How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with Ollama:
ollama run hf.co/HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
- Unsloth Studio
How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive 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 HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive 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 HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive to start chatting
- Pi
How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
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": "HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
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 HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with Docker Model Runner:
docker model run hf.co/HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
- Lemonade
How to use HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive:Q4_K_M
Run and chat with the model
lemonade run user.Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-Q4_K_M
List all available models
lemonade list
π Starting Agent Loop Tool Efficiency Test
TLDR: Probably the best gguf version, beating unsloth UD.
Best use case
Function Calling = reasoning OFF
Multimodal = reasoning ON
π Configuration:
Base URL: http://localhost:9099/v1
Model: Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-Q5_K_P_off
Test Cases: 17
Output: results/agent_test_results_Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-Q5_K_P_off_20260405_153735.json
Log File: logs/agent_test_logs_Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-Q5_K_P_off_20260405_153735.log
π Running agent tests...
Starting agent test suite with 17 test cases
Running agent test: zero_greeting
Running agent test: zero_weather_question
Running agent test: zero_general_question
Running agent test: simple_checkout
Running agent test: zero_thank_you
Running agent test: medium_search_and_add
Running agent test: zero_capabilities
Running agent test: simple_search_electronics
Running agent test: simple_add_iphone
Running agent test: simple_view_cart
Running agent test: complex_shopping_workflow
Running agent test: medium_remove_and_add
Running agent test: medium_view_and_add
Running agent test: complex_cart_management
Running agent test: complex_gift_shopping
Running agent test: medium_search_category_and_add
Running agent test: simple_remove_product
β
Tests completed in 29.6192272s
π Agent Test Results
Total Tests: 17
β
Passed: 16
β Failed: 1
β±οΈ Total LLM Time: 4m56.6324561s
β±οΈ Average Time per Request: 7.234937953s
π Test Case Results:
Test Case: zero_general_question
Status: β
PASSED
Matched Path: no_tools
Response Time: 7.1037635s
Tool Calls: 0
Test Case: zero_greeting
Status: β
PASSED
Matched Path: no_tools
Response Time: 7.6242963s
Tool Calls: 0
Test Case: zero_thank_you
Status: β
PASSED
Matched Path: no_tools
Response Time: 8.6742927s
Tool Calls: 0
Test Case: zero_weather_question
Status: β
PASSED
Matched Path: no_tools
Response Time: 10.222154s
Tool Calls: 0
Test Case: zero_capabilities
Status: β
PASSED
Matched Path: no_tools
Response Time: 10.7087085s
Tool Calls: 0
Test Case: simple_view_cart
Status: β
PASSED
Matched Path: view_cart
Response Time: 11.081606s
Tool Calls: 1
Tools Used: view_cart
Test Case: simple_remove_product
Status: β
PASSED
Matched Path: direct_remove
Response Time: 14.1713419s
Tool Calls: 1
Tools Used: remove_from_cart
Test Case: simple_checkout
Status: β
PASSED
Matched Path: direct_checkout
Response Time: 16.2663444s
Tool Calls: 1
Tools Used: checkout
Test Case: simple_add_iphone
Status: β
PASSED
Matched Path: direct_add
Response Time: 16.8710434s
Tool Calls: 1
Tools Used: add_to_cart
Test Case: simple_search_electronics
Status: β
PASSED
Matched Path: search_by_category
Response Time: 18.9555705s
Tool Calls: 1
Tools Used: search_products
Test Case: medium_search_and_add
Status: β
PASSED
Matched Path: search_by_query
Response Time: 20.6402634s
Tool Calls: 2
Tools Used: search_products, add_to_cart
Test Case: medium_remove_and_add
Status: β
PASSED
Matched Path: remove_then_add
Response Time: 21.4799744s
Tool Calls: 2
Tools Used: remove_from_cart, add_to_cart
Test Case: medium_search_category_and_add
Status: β
PASSED
Matched Path: search_then_add
Response Time: 23.1171036s
Tool Calls: 2
Tools Used: search_products, add_to_cart
Test Case: complex_gift_shopping
Status: β
PASSED
Matched Path: gift_shopping_workflow
Response Time: 24.8069479s
Tool Calls: 5
Tools Used: search_products, add_to_cart, search_products, add_to_cart, view_cart
Test Case: medium_view_and_add
Status: β
PASSED
Matched Path: view_then_add
Response Time: 26.8041455s
Tool Calls: 2
Tools Used: view_cart, add_to_cart
Test Case: complex_shopping_workflow
Status: β FAILED
Response Time: 28.7320275s
Tool Calls: 5
Tools Used: search_products, add_to_cart, add_to_cart, add_to_cart, checkout
Test Case: complex_cart_management
Status: β
PASSED
Matched Path: cart_organization
Response Time: 29.617127s
Tool Calls: 3
Tools Used: view_cart, remove_from_cart, add_to_cart
β Failed Tests Details:
Test Case: complex_shopping_workflow
Expected Tool Variants: 4
Variant 1 (full_workflow_with_iphone): 4 tools
Variant 2 (full_workflow_with_headphones): 4 tools
Variant 3 (full_workflow_with_headphones_and_iphone): 5 tools
Variant 4 (full_workflow_with_iphone_and_headphones): 5 tools
Actual Tool Calls: 5
1. search_products
2. add_to_cart
3. add_to_cart
4. add_to_cart
5. checkout
Response Time: 28.7320275s
π Overall Success Rate: 94.12% // https://github.com/docker/model-test/
Q5_K_P // 60 tokens/s on RTX 3060 12GB (reasoning OFF)
β±οΈ Average Time per Request: 7.234937953s
π Overall Success Rate: 94.12%
Q5_K_P // 60 tokens/s on RTX 3060 12GB (reasoning ON)
β±οΈ Average Time per Request: 19.598046543s
π Overall Success Rate: 88.24%
Function Calling = reasoning OFF
Multimodal = reasoning ON
llama-server --host 0.0.0.0 --port 9099 -ngl 99 -fa on -c 65536 --temp 1 --top-k 64 --top-p 0.95 --jinja -m X:\path\to\Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-Q5_K_P.gguf --mmproj X:\path\to\mmproj-Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-f16.gguf --reasoning on
TLDR: Probably the best gguf version, beating unsloth UD.
Thank you for sharing the tests you've done!
what setting you use for tool calling?, im using LMStudio and how to off reasoning for tool use, thanks
what setting you use for tool calling?, im using LMStudio and how to off reasoning for tool use, thanks
sorry forgot the setting
llama-server --host 0.0.0.0 --port 9099 -ngl 99 -fa on -c 65536 --temp 1 --top-k 64 --top-p 0.95 --jinja -m X:\path\to\Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-Q5_K_P.gguf --mmproj X:\path\to\mmproj-Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-f16.gguf --reasoning on
I don't use LMstudio, but read their docs about turning on/off reasoning