Instructions to use TylerMayfield/qwen3.5-9b-cascade-tooluse-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TylerMayfield/qwen3.5-9b-cascade-tooluse-adapter 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("TylerMayfield/qwen3.5-9b-cascade-tooluse-adapter") 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 TylerMayfield/qwen3.5-9b-cascade-tooluse-adapter with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "TylerMayfield/qwen3.5-9b-cascade-tooluse-adapter" --prompt "Once upon a time"
- Atomic Chat
Download adapters.safetensors from TylerMayfield/qwen3.5-9b-cascade-tooluse-adapter: direct link, hf CLI and curl.
- Browser
- Download file 43.3 MB
-
https://huggingface.co/TylerMayfield/qwen3.5-9b-cascade-tooluse-adapter/resolve/main/adapters.safetensors
- Command line
-
hf download hf://TylerMayfield/qwen3.5-9b-cascade-tooluse-adapter/adapters.safetensors
-
curl -L -o adapters.safetensors https://huggingface.co/TylerMayfield/qwen3.5-9b-cascade-tooluse-adapter/resolve/main/adapters.safetensors
43.3 MB
- Xet hash:
- 30f4cfd26b23da823277614b0a36a68b0536eafc076bd440ad9e4df491aaf94a
- Size of remote file:
- 43.3 MB
- SHA256:
- 7b3f2d57f13b9ce07095aaee5b5f8fd893a8d5c00f3276ee8f0858ca453e9a12
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