Instructions to use georgeanton/sifta-corvid-qwen35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use georgeanton/sifta-corvid-qwen35 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 georgeanton/sifta-corvid-qwen35
# Run inference directly in the terminal:
llama cli -hf georgeanton/sifta-corvid-qwen35

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf georgeanton/sifta-corvid-qwen35
# Run inference directly in the terminal:
llama cli -hf georgeanton/sifta-corvid-qwen35

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-corvid-qwen35
# Run inference directly in the terminal:
./llama-cli -hf georgeanton/sifta-corvid-qwen35

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-corvid-qwen35
# Run inference directly in the terminal:
./build/bin/llama-cli -hf georgeanton/sifta-corvid-qwen35

Use Docker

docker model run hf.co/georgeanton/sifta-corvid-qwen35

LM Studio
Jan
Ollama
How to use georgeanton/sifta-corvid-qwen35 with Ollama:
```
ollama run hf.co/georgeanton/sifta-corvid-qwen35
```
Unsloth Desktop

How to use georgeanton/sifta-corvid-qwen35 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf georgeanton/sifta-corvid-qwen35

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": "georgeanton/sifta-corvid-qwen35"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use georgeanton/sifta-corvid-qwen35 with Docker Model Runner:
```
docker model run hf.co/georgeanton/sifta-corvid-qwen35
```

Lemonade

How to use georgeanton/sifta-corvid-qwen35 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull georgeanton/sifta-corvid-qwen35

Run and chat with the model

lemonade run user.sifta-corvid-qwen35-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use georgeanton/sifta-corvid-qwen35 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf georgeanton/sifta-corvid-qwen35

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 georgeanton/sifta-corvid-qwen35

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use georgeanton/sifta-corvid-qwen35 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf georgeanton/sifta-corvid-qwen35

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 "georgeanton/sifta-corvid-qwen35" \
  --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"

georgeanton commited on May 9

Commit

9798a89

verified ·

1 Parent(s): 5ff758e

SIFTA public cortex distro update - 2026-05-09

Browse files

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -32,7 +32,7 @@ The 2B won the head-to-head. It's faster, smaller, and has fewer RLHF scars. The
 ```bash
 # 1. Pull the corvid brain (or use the GGUF file in this repo)
-ollama pull qwen3.5:2b
 # 2. Clone the SIFTA OS
 git clone https://github.com/antonpictures/ANTON-SIFTA.git
@@ -48,7 +48,7 @@ Qwen 3.5's thinking mode consumes all `num_predict` tokens in `<think>` blocks,
 ```bash
 curl http://127.0.0.1:11434/api/chat -d '{
-  "model": "qwen3.5:2b",
   "messages": [{"role": "user", "content": "classify: I broke my hand"}],
   "stream": false,
   "think": false,

 ```bash
 # 1. Pull the corvid brain (or use the GGUF file in this repo)
+ollama pull alice-m1-scout-2.3b-2.7gb:latest
 # 2. Clone the SIFTA OS
 git clone https://github.com/antonpictures/ANTON-SIFTA.git
 ```bash
 curl http://127.0.0.1:11434/api/chat -d '{
+  "model": "alice-m1-scout-2.3b-2.7gb:latest",
   "messages": [{"role": "user", "content": "classify: I broke my hand"}],
   "stream": false,
   "think": false,