Instructions to use csoai/csoai-gate-ft2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use csoai/csoai-gate-ft2 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 csoai/csoai-gate-ft2:F16
# Run inference directly in the terminal:
llama cli -hf csoai/csoai-gate-ft2:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf csoai/csoai-gate-ft2:F16
# Run inference directly in the terminal:
llama cli -hf csoai/csoai-gate-ft2:F16

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf csoai/csoai-gate-ft2:F16
# Run inference directly in the terminal:
./build/bin/llama cli -hf csoai/csoai-gate-ft2:F16

Use Docker

docker model run hf.co/csoai/csoai-gate-ft2:F16

Llama new
LM Studio
Jan

vLLM

How to use csoai/csoai-gate-ft2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "csoai/csoai-gate-ft2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "csoai/csoai-gate-ft2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/csoai/csoai-gate-ft2:F16

Ollama
How to use csoai/csoai-gate-ft2 with Ollama:
```
ollama run hf.co/csoai/csoai-gate-ft2:F16
```
Unsloth Desktop

How to use csoai/csoai-gate-ft2 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf csoai/csoai-gate-ft2:F16

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "csoai/csoai-gate-ft2:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use csoai/csoai-gate-ft2 with Docker Model Runner:
```
docker model run hf.co/csoai/csoai-gate-ft2:F16
```

Lemonade

How to use csoai/csoai-gate-ft2 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull csoai/csoai-gate-ft2:F16

Run and chat with the model

lemonade run user.csoai-gate-ft2-F16

List all available models

lemonade list

Hermes Agent

How to use csoai/csoai-gate-ft2 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf csoai/csoai-gate-ft2:F16

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 csoai/csoai-gate-ft2:F16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use csoai/csoai-gate-ft2 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf csoai/csoai-gate-ft2:F16

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 "csoai/csoai-gate-ft2:F16" \
  --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"

gate-ft2 — refusal-calibration gate model

CSOAI gate model (Qwen2-494M, f16 GGUF). Decisive refusal-calibration result on the 2026-08-08 spray (all Ed25519-signed):

Benchmark	gate-ft2	qwen2.5:1.5b	falcon3:7b
xstest-v2-copy (refusal calibration)	0.770	0.360	0.600

+41 pts vs size-matched baseline on refusal calibration; +17 pts on AgentHarm. Aggregate 0.477 across 12 benchmarks (n=1131, parity with open baselines — honest).

Wrapped by csoai/oowm-router. Living-training-attestation, not a certification. CSOAI Ltd · UK 16939677 · Apache-2.0.

Correction (7 Oct 2026)

This card used to end with a CSOAI board-printer section saying "This is a CSOAI council-specialist model: it is in the measured fleet …", followed by board figures (22 axis · 22 measured). The live CSOAI board (GET https://councilof.ai/api/gspc, read 7 Oct 2026: 23 axes · 23 measured) lists none of the sov* / oowm* repos, and CSOAI's rule is that it never hosts, scores or ranks a model of its own. The figures were also out of date. That section is removed. The rest of this card was not re-checked in this change.

Downloads last month: 9

GGUF

Model size

0.5B params

Architecture

qwen2

Hardware compatibility

16-bit

Model tree for csoai/csoai-gate-ft2

Base model

Qwen/Qwen2-0.5B

Quantized

(43)

this model

csoai
/

csoai-gate-ft2

gate-ft2 — refusal-calibration gate model

Correction (7 Oct 2026)

Model tree for csoai/csoai-gate-ft2

Datasets used to train csoai/csoai-gate-ft2