Instructions to use bfuzzy1/Rodan-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use bfuzzy1/Rodan-Chat 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("bfuzzy1/Rodan-Chat") 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 bfuzzy1/Rodan-Chat with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "bfuzzy1/Rodan-Chat" --prompt "Once upon a time"
- Xet hash:
- 2f1a5dfe64f3c8cb58c3b5e47d3afa39882210383f9370d1c83828f748189daa
- Size of remote file:
- 41.7 MB
- SHA256:
- 20f4871ecf678cffb24eefc085278f9125ecf720cd535fd0e84fcfc631f37ac3
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