Hindsight Model Selects
Collection
Local models for running Hindsight memory for agents. • 9 items • Updated • 1
How to use dicksondickson/Qwen3.5-9B-oQ6e-mtp-bf16-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download dicksondickson/Qwen3.5-9B-oQ6e-mtp-bf16-MLX --local-dir Qwen3.5-9B-oQ6e-mtp-bf16-MLX
Updated Oct 18, 2026: Re-quantized with oMLX 0.7.1.dev1 with improved oQe Quantization. Please re-download if you have an earlier copy.
This model is a quantization of:
https://huggingface.co/Qwen/Qwen3.5-9B
This checkpoint was quantized using oMLX 0.7.1.dev1 with imatrix enabled.
Important tensors are left at bf16 which is for Apple M3 chips and later.
Run the model using oMLX:
https://github.com/jundot/omlx
6-bit