Instructions to use mlx-community/Mellum-4b-sft-kotlin-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Mellum-4b-sft-kotlin-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/Mellum-4b-sft-kotlin-4bit") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use mlx-community/Mellum-4b-sft-kotlin-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/Mellum-4b-sft-kotlin-4bit" --prompt "Once upon a time"
- Xet hash:
- 5e6a6285340660989efed21804928589076776557b84228a8ee286ae2dfa4a28
- Size of remote file:
- 2.26 GB
- SHA256:
- df042041bbbc9c116df14023e4b8d13c3162454fafdd637f4256387c2ba6caa0
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