bf16 Open on Hugging Face
Parameters
507M
Weights (est.)
≈ 1.0 GB
Mac memory (est.)
8 GB+
Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-vlm on an Apple silicon Mac:
pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/SmolVLM-500M-Instruct-bf16 --image photo.jpg --prompt "Describe this image"
Details
- Base model
- HuggingFaceTB/SmolLM2-360M-Instruct (finetune)
- Vendor
- Hugging Face
- Task
- Vision + text
- Quantisation
- bf16
- Licence
- apache-2.0
- Downloads
- 109 in the last 30 days · 766 all time · 1 likes
- Published
- 2025-01-23 · updated 2025-01-23 (1y ago)
- Languages
- en
- Tags
- idefics3
Other MLX builds of HuggingFaceTB/SmolLM2-360M-Instruct
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| SmolVLM-500M-Instruct-3bit | 3-bit | ≈ 223 MB | 8 GB+ | 47 |
| SmolVLM-500M-Instruct-4bit | 4-bit | ≈ 287 MB | 8 GB+ | 385 |
| SmolLM2-360M-Instruct-6bit | 6-bit | ≈ 294 MB | 8 GB+ | 103 |
| SmolVLM-500M-Instruct-6bit | 6-bit | ≈ 413 MB | 8 GB+ | 44 |
| SmolVLM2-256M-Video-Instruct-mlx | — | ≈ 513 MB | 8 GB+ | 717 |
| SmolVLM-500M-Instruct-8bit | 8-bit | ≈ 540 MB | 8 GB+ | 56 |
| SmolVLM2-500M-Video-Instruct-mlx-8bit-skip-vision | 8-bit | ≈ 620 MB | 8 GB+ | 238 |
| SmolLM2-360M-Instruct | — | ≈ 724 MB | 8 GB+ | 681 |
| SmolLM2-360M-Instruct-bf16-mlx | bf16 | ≈ 724 MB | 8 GB+ | 63 |
| SmolVLM2-500M-Video-Instruct-mlx | — | ≈ 1.0 GB | 8 GB+ | 5.3K |
| SmolVLM-500M-Instruct-bf16 (this one) | bf16 | ≈ 1.0 GB | 8 GB+ | 109 |