Instructions to use mlx-community/SeaLLM-7B-v2-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/SeaLLM-7B-v2-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir SeaLLM-7B-v2-4bit-mlx mlx-community/SeaLLM-7B-v2-4bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
mlx-community/SeaLLM-7B-v2-4bit-mlx
This model was converted to MLX format from SeaLLMs/SeaLLM-7B-v2.
Refer to the original model card for more details on the model.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/SeaLLM-7B-v2-4bit-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
- Downloads last month
- 17
Hardware compatibility
Log In to add your hardware
Quantized
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐ Ask for provider support