Instructions to use abnormalmapstudio/Qwen2.5-Coder-1.5B-Instruct-mxfp4-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use abnormalmapstudio/Qwen2.5-Coder-1.5B-Instruct-mxfp4-mlx 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("abnormalmapstudio/Qwen2.5-Coder-1.5B-Instruct-mxfp4-mlx") 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 abnormalmapstudio/Qwen2.5-Coder-1.5B-Instruct-mxfp4-mlx with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "abnormalmapstudio/Qwen2.5-Coder-1.5B-Instruct-mxfp4-mlx" --prompt "Once upon a time"
- Xet hash:
- 4bd2f092eeec244c0448f13e31edd4b25e625568713e4155993a3dea90c7437a
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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