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SmolLM2-1.7B-Instruct-MLX-4bit
Irfanuruchi/SmolLM2-1.7B-Instruct-MLX-4bit
SmolLM2-1.7B-Instruct-MLX-4bit is a text generation model from Irfanuruchi. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as apache-2.0.
This is an MLX conversion of HuggingFaceTB/SmolLM2-1.7B-Instruct quantized to 4-bit for fast on-device inference on Apple Silicon.
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963 MB on disk
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.safetensors963 MB · 100%
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Base models
Model card
From the Hugging Face model README
SmolLM2-1.7B Instruct (MLX, 4-bit)
This is an MLX conversion of HuggingFaceTB/SmolLM2-1.7B-Instruct quantized to 4-bit for fast on-device inference on Apple Silicon.
Quickstart
Install:
pip install -U mlx-lm
Run:
mlx_lm.generate \
--model Irfanuruchi/SmolLM2-1.7B-Instruct-MLX-4bit \
--prompt "Reply with exactly 3 bullet points, 4–8 words each: what can you do offline?" \
--max-tokens 80
Benchmarks (MacBook Pro M3 Pro)
- Disk: 922 MB
- Peak RAM: 1.093 GB
Performance will vary across devices and prompts.
Notes
- Converted/quantized with
mlx_lm.convert. - This repo contains MLX weights and tokenizer/config files.
License & attribution
Upstream model: HuggingFaceTB/SmolLM2-1.7B-Instruct (Apache-2.0).
Please follow the upstream license and attribution requirements.
- Task
- Text Generation
- Library
- mlx
- Type
- llama
- License
- apache-2.0
- Languages
- en
- Created
- Jan 24, 2026
- Updated
- Jan 24, 2026