Irfanuruchi/SmolLM2-360M-Instruct-MLX-4bit
By Irfanuruchi · ↓ 12 · ♥ 0 · Updated 2026-01-24
What's in this repo
This page lists the files in Irfanuruchi/SmolLM2-360M-Instruct-MLX-4bit.
- No .onnx files in this repository
- 9 files, including 5 .json, 1 .md, 1 .jinja, 1 .safetensors
- Last updated 2026-01-24
ONNX files
This repository has no .onnx files. See the full file list on the right for other formats.
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
SmolLM2-360M Instruct (MLX, 4-bit)
This is an MLX conversion of HuggingFaceTB/SmolLM2-360M-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/SmolLM2-360M-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: 198 MB
- Peak RAM: 0.247 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/SmolLM2-360M-Instruct (Apache-2.0).
Please follow the upstream license and attribution requirements.
Model info
Created: 2026-01-24
Updated: 2026-01-24
View on Hugging Face