FreeGPT - LLaMA made easy 🦙

FreeGPT is a chat interface crafted with llama.cpp for running Alpaca models. No API keys, entirely self-hosted!

• 🌐 SvelteKit frontend
• 💾 Redis for storing chat history & parameters
• ⚙️ FastAPI + LangChain for the API, wrapping calls to llama.cpp using the python bindings

🎥 Demo:

demo.webm

⚡️ Quick start

🐳 Docker:

docker run -d \
    --name serge \
    -v weights:/usr/src/app/weights \
    -v datadb:/data/db/ \
    -p 8008:8008 \
    ghcr.io/serge-chat/serge:latest

🐙 Docker Compose:

services:
  serge:
    image: ghcr.io/serge-chat/serge:latest
    container_name: serge
    restart: unless-stopped
    ports:
      - 8008:8008
    volumes:
      - weights:/usr/src/app/weights
      - datadb:/data/db/

volumes:
  weights:
  datadb:

Then, just visit http://localhost:8008/, You can find the API documentation at http://localhost:8008/api/docs

🖥️ Windows Setup

Ensure you have Docker Desktop installed, WSL2 configured, and enough free RAM to run models.

☁️ Kubernetes & Docker Compose Setup

Instructions for setting up Serge on Kubernetes can be found in the wiki.

🧠 Supported Models

We currently support the following models:

• Alpaca 🦙
  • Alpaca-LoRA-65B
  • GPT4-Alpaca-LoRA-30B
• Chronos 🌑
  • Chronos-13B
  • Chronos-33B
  • Chronos-Hermes-13B
• GPT4All 🌍
  • GPT4All-13B
• Koala 🐨
  • Koala-7B
  • Koala-13B
• LLaMA 🦙
  • FinLLaMA-33B
  • LLaMA-Supercot-30B
  • LLaMA2 7B
  • LLaMA2 13B
  • LLaMA2 70B
• Lazarus 💀
  • Lazarus-30B
• Nous 🧠
  • Nous-Hermes-13B
• OpenAssistant 🎙️
  • OpenAssistant-30B
• Orca 🐬
  • Orca-Mini-v2-7B
  • Orca-Mini-v2-13B
  • OpenOrca-Preview1-13B
• Samantha 👩
  • Samantha-7B
  • Samantha-13B
  • Samantha-33B
• Vicuna 🦙
  • Stable-Vicuna-13B
  • Vicuna-CoT-7B
  • Vicuna-CoT-13B
  • Vicuna-v1.1-7B
  • Vicuna-v1.1-13B
  • VicUnlocked-30B
  • VicUnlocked-65B
• Wizard 🧙
  • Wizard-Mega-13B
  • WizardLM-Uncensored-7B
  • WizardLM-Uncensored-13B
  • WizardLM-Uncensored-30B
  • WizardCoder-Python-13B-V1.0

Additional weights can be added to the serge_weights volume using docker cp:

docker cp ./my_weight.bin serge:/usr/src/app/weights/

⚠️ Memory Usage

LLaMA will crash if you don't have enough available memory for the model:

Model	Max RAM Required
7B	4.5GB
7B-q2_K	5.37GB
7B-q3_K_L	6.10GB
7B-q4_1	6.71GB
7B-q4_K_M	6.58GB
7B-q5_1	7.56GB
7B-q5_K_M	7.28GB
7B-q6_K	8.03GB
7B-q8_0	9.66GB
13B	12GB
13B-q2_K	8.01GB
13B-q3_K_L	9.43GB
13B-q4_1	10.64GB
13B-q4_K_M	10.37GB
13B-q5_1	12.26GB
13B-q5_K_M	11.73GB
13B-q6_K	13.18GB
13B-q8_0	16.33GB
33B	20GB
33B-q2_K	16.21GB
33B-q3_K_L	19.78GB
33B-q4_1	22.83GB
33B-q4_K_M	22.12GB
33B-q5_1	26.90GB
33B-q5_K_M	25.55GB
33B-q6_K	29.19GB
33B-q8_0	37.06GB
65B	50GB
65B-q2_K	29.95GB
65B-q3_K_L	37.15GB
65B-q4_1	43.31GB
65B-q4_K_M	41.85GB
65B-q5_1	51.47GB
65B-q5_K_M	48.74GB
65B-q6_K	56.06GB
65B-q8_0	71.87GB

💬 Support

Need help? Join our Discord

🤝 Contributing

If you discover a bug or have a feature idea, feel free to open an issue or PR.

To run FreeGPT in development mode:

git clone https://github.com/Start9Labs/FreeGPT.git
docker compose -f docker-compose.dev.yml up -d --build