Instructions to use Aryagm/HRM-Text-1B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Aryagm/HRM-Text-1B-MLX-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("Aryagm/HRM-Text-1B-MLX-4bit") 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 Aryagm/HRM-Text-1B-MLX-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 "Aryagm/HRM-Text-1B-MLX-4bit" --prompt "Once upon a time"
Update model card metadata
Browse files
README.md
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license: apache-2.0
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base_model: sapientinc/HRM-Text-1B
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library_name: mlx
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tags:
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- mlx
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- apple-silicon
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license: apache-2.0
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base_model: sapientinc/HRM-Text-1B
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library_name: mlx
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pipeline_tag: text-generation
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inference: false
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tags:
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- mlx
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- apple-silicon
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