- Libraries
- Transformers
How to use maxosai/Beisen-AI with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("feature-extraction", model="maxosai/Beisen-AI", trust_remote_code=True)
messages = [
{"role": "user", "content": "Who are you?"},
]
pipe(messages) # pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("maxosai/Beisen-AI", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use maxosai/Beisen-AI with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible embeddings server:
llama serve -hf maxosai/Beisen-AI:F16 --embeddings
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible embeddings server:
llama serve -hf maxosai/Beisen-AI:F16 --embeddings
Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible embeddings server:
./llama-server -hf maxosai/Beisen-AI:F16 --embeddings
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 embeddings server:
./build/bin/llama-server -hf maxosai/Beisen-AI:F16 --embeddings
- LM Studio
- Jan
- Ollama
How to use maxosai/Beisen-AI with Ollama:
ollama run hf.co/maxosai/Beisen-AI:F16
- Unsloth Desktop
- Docker Model Runner
How to use maxosai/Beisen-AI with Docker Model Runner:
docker model run hf.co/maxosai/Beisen-AI:F16
- Lemonade
How to use maxosai/Beisen-AI with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull maxosai/Beisen-AI:F16
Run and chat with the model
lemonade run user.Beisen-AI-F16
List all available models
lemonade list
- Atomic Chat
