ornith-1.5-9b-affine4-bf16recurrence-vision-mlx
Affine 4-bit MLX quant with recurrent-state inputs retained in BF16 and the parent model's BF16 vision tower. Built from Ornith-1.5-9B revision 98db59b for Apple Silicon.
Format
- Size: 6.54 GB
- Language trunk: 202 affine-4 modules and 48 recurrent-input modules in BF16
- Vision: 333 same-parent BF16 tensors
- Context metadata: 262,144 tokens
- Runtime: autoregressive MLX-LM/MLX-VLM
- Native MTP: unavailable; the upstream checkpoint contains no
mtp.*tensors
Exact precision and conversion records are included in BUILD_RECIPE.json and conversion_receipt.json. Immutable weight revision: d4efb82.
Usage
python -m mlx_vlm.generate \
--model Shiftedx/ornith-1.5-9b-affine4-bf16recurrence-vision-mlx \
--image image.jpg \
--prompt "Describe this image." \
--max-tokens 256
Qualification
ShiftedX Bench v0.3.0 commit 3bbb0bfa01e33503163cb34ef52b4d507e456265, Apple M4 Max / 64 GiB, thinking enabled, medium reasoning, temperature 1, top-p 0.95, top-k 20, KV cache off:
| Lane | Result | Mean decode | Peak active memory |
|---|---|---|---|
| Quality | 5/10 | 69.0 tok/s | 5.61 GB |
| Long context | 3/15 | 60.9 tok/s | 5.61 GB |
| Tools | 6/6 | 63.1 tok/s | 6.71 GB |
| Agentic | 2/2 | — | — |
| Vision, native MLX-VLM | 4/4 strict | — | — |
Text lanes used MTPLX 2.7.1 in stock autoregressive mode. Vision used native MLX-VLM because MTPLX AR rejects image content. Structural loading and deterministic text/vision smokes passed. Quantization can change behavior; see the parent model card for intended use and license details.