TinySwallow-1.5B-Instruct-4bit
mlx-community/TinySwallow-1.5B-Instruct-4bit
Text generation · transformers
4-bit Open on Hugging Face
Parameters
1.5B
Weights (est.)
≈ 869 MB
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-lm on an Apple silicon Mac:
pip install mlx-lmmlx_lm.generate --model mlx-community/TinySwallow-1.5B-Instruct-4bit --prompt "Hello"
Details
- Base model
- SakanaAI/TinySwallow-1.5B-Instruct (quantized)
- Vendor
- SakanaAI
- Task
- Text generation
- Quantisation
- 4-bit
- Licence
- apache-2.0
- Downloads
- 76 in the last 30 days · 643 all time · 0 likes
- Published
- 2025-01-30 · updated 2025-01-30 (1y ago)
- Languages
- ja
- Tags
- qwen2
Other MLX builds of SakanaAI/TinySwallow-1.5B-Instruct
| Build | Quantisation | Weights | Mac memory | Downloads |
|---|---|---|---|---|
| TinySwallow-1.5B-Instruct-4bit (this one) | 4-bit | ≈ 869 MB | 8 GB+ | 76 |
| TinySwallow-1.5B-Instruct-8bit | 8-bit | ≈ 1.6 GB | 8 GB+ | 116 |