See Bonsai-4B MLX in action - demonstration video
Tested on a M3 Ultra 512GB RAM using Inferencer app
- Single inference ~113 tokens/s @ 1000 tokens (measured in debug mode)
- Memory usage: ~1.25 GiB
2.25bpw quant is a lossless upscale to allow running on the current released version of Inferencer
Quantized with a modified version of MLX
For more details see demonstration video or visit Bonsai-4B.
Disclaimer
We are not the creator, originator, or owner of any model listed. Each model is created and provided by third parties. Models may not always be accurate or contextually appropriate. You are responsible for verifying the information before making important decisions. We are not liable for any damages, losses, or issues arising from its use, including data loss or inaccuracies in AI-generated content.
- Downloads last month
- 1,375
Model size
0.3B params
Tensor type
F16
·
U32 ·
Hardware compatibility
Log In to add your hardware
2-bit
Model tree for inferencerlabs/Bonsai-4B-MLX-2.25bit
Base model
prism-ml/Bonsai-4B-unpacked Finetuned
prism-ml/Bonsai-4B-mlx-1bit