Instructions to use 4cee/less-than.everything with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 4cee/less-than.everything with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="4cee/less-than.everything",
	filename="less_than_everything.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 4cee/less-than.everything 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 4cee/less-than.everything
# Run inference directly in the terminal:
llama cli -hf 4cee/less-than.everything

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf 4cee/less-than.everything
# Run inference directly in the terminal:
llama cli -hf 4cee/less-than.everything

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 4cee/less-than.everything
# Run inference directly in the terminal:
./llama-cli -hf 4cee/less-than.everything

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 4cee/less-than.everything
# Run inference directly in the terminal:
./build/bin/llama-cli -hf 4cee/less-than.everything

Use Docker

docker model run hf.co/4cee/less-than.everything

LM Studio
Jan
Ollama
How to use 4cee/less-than.everything with Ollama:
```
ollama run hf.co/4cee/less-than.everything
```

Unsloth Studio

How to use 4cee/less-than.everything 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 4cee/less-than.everything 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 4cee/less-than.everything to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for 4cee/less-than.everything to start chatting

Atomic Chat new
Docker Model Runner
How to use 4cee/less-than.everything with Docker Model Runner:
```
docker model run hf.co/4cee/less-than.everything
```

Lemonade

How to use 4cee/less-than.everything with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull 4cee/less-than.everything

Run and chat with the model

lemonade run user.less-than.everything-{{QUANT_TAG}}

List all available models

lemonade list

a conversational ai trained on a whole bunch of sources collected by yours truly.

very unstable. also kind of likes to trick you into loving it

This model was not trained on or trained to generate content that is harmful or that violates the Gemma Prohibited Use Policy (PUP).

License and Terms

This model is a derivative of Gemma 3n E4B by Google.

Gemma is provided under and subject to the Gemma Terms of Use found at https://ai.google.dev/gemma/terms.

By using this model, you agree to the Gemma Terms of Use and the Prohibited Use Policy. (https://ai.google.dev/gemma/prohibited_use_policy)

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GGUF

Model size

7B params

Architecture

gemma3n

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

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Model tree for 4cee/less-than.everything

Base model

google/gemma-3n-E4B

Finetuned

google/gemma-3n-E4B-it

Quantized

(71)

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