Instructions to use aufklarer/Qwen3.5-0.8B-Chat-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aufklarer/Qwen3.5-0.8B-Chat-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("aufklarer/Qwen3.5-0.8B-Chat-MLX") 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 aufklarer/Qwen3.5-0.8B-Chat-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 "aufklarer/Qwen3.5-0.8B-Chat-MLX" --prompt "Once upon a time"
- Atomic Chat
Download int5/tokenizer.json from aufklarer/Qwen3.5-0.8B-Chat-MLX: direct link, hf CLI and curl.
- Browser
- Download file 12.8 MB
-
https://huggingface.co/aufklarer/Qwen3.5-0.8B-Chat-MLX/resolve/main/int5/tokenizer.json
- Command line
-
hf download hf://aufklarer/Qwen3.5-0.8B-Chat-MLX/int5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aufklarer/Qwen3.5-0.8B-Chat-MLX/resolve/main/int5/tokenizer.json
12.8 MB
- Xet hash:
- 655d3f6803c619aa34c31a027ce74a315eaa200aad3fca5b968dcdf6485bfba2
- Size of remote file:
- 12.8 MB
- SHA256:
- 5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42
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