Instructions to use mlx-community/OpenCodeInterpreter-SC2-7B-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/OpenCodeInterpreter-SC2-7B-4bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("mlx-community/OpenCodeInterpreter-SC2-7B-4bit") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- MLX LM
How to use mlx-community/OpenCodeInterpreter-SC2-7B-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "mlx-community/OpenCodeInterpreter-SC2-7B-4bit" --prompt "Once upon a time"
- Xet hash:
- a6f4dfa1381dc65bbb840ef50fe1bb73d3019179f7344af535d3538c3676a0ef
- Size of remote file:
- 4.49 GB
- SHA256:
- 0f8e9b0cc5aa95e25b0c2b67c06e00580b778b28474966df0cc7ba8583daefbe
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