SmolLM-360M-Instruct (MLX 5-bit)
A 5-bit MLX quantized build of HuggingFaceTB/SmolLM-360M-Instruct targeting a better quality/footprint balance than 3-bit.
Benchmark Environment
- Device: MacBook Pro (M3 Pro)
- Runtime: MLX
- Quantization: 5-bit
Performance (Measured)
- Disk size: ~241 MB
- Peak memory: ~0.29 GB
- Generation speed: ~296 tokens/sec
These numbers were measured on macOS (M3 Pro).
iPhone / iPad performance will vary depending on hardware and memory.
Usage
mlx_lm.generate \
--model Irfanuruchi/SmolLM-360M-Instruct-MLX-5bit \
--prompt "Reply with exactly 3 bullet points, 4-8 words each: what can you do offline?" \
--max-tokens 80
License
Upstream SmolLM is released under Apache-2.0. Preserve attribution and the original license terms.
- Downloads last month
- 9
Model size
67.9M params
Tensor type
BF16
·
U32
·
Hardware compatibility
Log In
to view the estimation
5-bit
Model tree for Irfanuruchi/SmolLM-360M-Instruct-MLX-5bit
Base model
HuggingFaceTB/SmolLM-360M
Quantized
HuggingFaceTB/SmolLM-360M-Instruct