Instructions to use georgeanton/sifta-classifier-c1-3.1b-6.2gb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use georgeanton/sifta-classifier-c1-3.1b-6.2gb with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="georgeanton/sifta-classifier-c1-3.1b-6.2gb",
	filename="sifta-classifier-c1-3.1b-6.2gb.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 georgeanton/sifta-classifier-c1-3.1b-6.2gb with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf georgeanton/sifta-classifier-c1-3.1b-6.2gb
# Run inference directly in the terminal:
llama-cli -hf georgeanton/sifta-classifier-c1-3.1b-6.2gb

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf georgeanton/sifta-classifier-c1-3.1b-6.2gb
# Run inference directly in the terminal:
llama-cli -hf georgeanton/sifta-classifier-c1-3.1b-6.2gb

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 georgeanton/sifta-classifier-c1-3.1b-6.2gb
# Run inference directly in the terminal:
./llama-cli -hf georgeanton/sifta-classifier-c1-3.1b-6.2gb

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 georgeanton/sifta-classifier-c1-3.1b-6.2gb
# Run inference directly in the terminal:
./build/bin/llama-cli -hf georgeanton/sifta-classifier-c1-3.1b-6.2gb

Use Docker

docker model run hf.co/georgeanton/sifta-classifier-c1-3.1b-6.2gb

LM Studio
Jan
Ollama
How to use georgeanton/sifta-classifier-c1-3.1b-6.2gb with Ollama:
```
ollama run hf.co/georgeanton/sifta-classifier-c1-3.1b-6.2gb
```

Unsloth Studio

How to use georgeanton/sifta-classifier-c1-3.1b-6.2gb 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 georgeanton/sifta-classifier-c1-3.1b-6.2gb 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 georgeanton/sifta-classifier-c1-3.1b-6.2gb to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for georgeanton/sifta-classifier-c1-3.1b-6.2gb to start chatting

Atomic Chat new
Docker Model Runner
How to use georgeanton/sifta-classifier-c1-3.1b-6.2gb with Docker Model Runner:
```
docker model run hf.co/georgeanton/sifta-classifier-c1-3.1b-6.2gb
```

Lemonade

How to use georgeanton/sifta-classifier-c1-3.1b-6.2gb with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull georgeanton/sifta-classifier-c1-3.1b-6.2gb

Run and chat with the model

lemonade run user.sifta-classifier-c1-3.1b-6.2gb-{{QUANT_TAG}}

List all available models

lemonade list

SIFTA Classifier C1 3.1B 6.2GB

Classifier/reflex tag:

ollama create sifta-classifier-c1-3.1b-6.2gb:latest -f Modelfile

This is not Alice's primary cortex. It is a bounded intent classifier used for fast routing, lysosome/truth-duel style gates, and small JSON/classification tasks.

Contract

The model should output only valid JSON or the exact intent string requested by the caller. It must not claim vision, hearing, local sensors, or Alice identity.

SIFTA Field Breakthrough

The current SIFTA public repo includes a stigmergic field breakthrough brief: https://github.com/antonpictures/ANTON-SIFTA/blob/main/Documents/CARLTON_STIGMERGIC_FIELD_BREAKTHROUGH_2026-05-11.md

C1 is a classifier organ. The field mechanism itself runs in the Python body: Bell analogue simulator, kernel scheduler, and hippocampus. Credit boundary: Bell/CHSH/Hall/pilot-wave/stigmergy literature grounds the analogy; SIFTA claims a receipt-backed classical contextual analogue, not a proof of the physical cause of quantum nonlocality.

Local State Boundary

This model package is public species DNA. It must not include raw .sifta_state/ selfhood, contacts, owner memory, camera frames, or private receipts.

Downloads last month: 118

GGUF

Model size

3B params

Architecture

qwen2

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

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