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Ornith-1.5-35B-A3B-MLX-4bit-Vision
Avdpro/Ornith-1.5-35B-A3B-MLX-4bit-Vision
Ornith-1.5-35B-A3B-MLX-4bit-Vision is a image-text-to-text model from Avdpro. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as mit.
This is a complete MLX vision-language checkpoint assembled from the official Ornith 1.5 releases. It combines the official 4-bit MLX language checkpoint with the official BF16 vision tower that is absent from the MLX…
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From the Hugging Face model README
Ornith 1.5 35B A3B MLX 4-bit + BF16 Vision
This is a complete MLX vision-language checkpoint assembled from the official Ornith 1.5 releases. It combines the official 4-bit MLX language checkpoint with the official BF16 vision tower that is absent from the MLX 4-bit release.
Sources
- Language checkpoint:
ornith-ai/Ornith-1.5-35B-A3B-MLX-4bit- pinned revision:
19504d912fa8fc7622bf6b1de3db5d5d890b1f02
- pinned revision:
- Vision and processor metadata:
ornith-ai/Ornith-1.5-35B-A3B- pinned revision:
10fbf86fed7ecee4a061f8b499a618f46001cac1 - source shard:
model-00001-of-00016.safetensors
- pinned revision:
The four language-model shards remain byte-identical to the official MLX
4-bit release. All 333 model.visual.* tensors were streamed from the
official BF16 source into ornith15_vision_bf16.safetensors, renamed to the
MLX vision_tower.* layout. The Conv3d patch-embedding tensor was transposed
from PyTorch [out,in,t,h,w] to MLX [out,t,h,w,in] layout.
VISION_SIDECAR.json records the exact source revisions, source-shard hash,
derived sidecar hash, tensor count and layout conversion. CHECKSUMS.sha256
records the immutable runtime-file hashes.
Precision and runtime
- Language body: affine 4-bit, group size 64
- Vision tower: BF16
- Architecture: Qwen3.5/Qwen3.6-compatible MoE VLM
- Recommended AI2Apps Runtime:
ai2apps/runtime-omlx >= 1.5.6
The mixed precision is intentional: it preserves visual quality while keeping the language model compact. AI2Apps can run the checkpoint fully resident or convert its routed experts to the Direct Cached-MoE store for lower memory use. Full-resident execution is the default when memory allows.
License and attribution
The upstream Ornith 1.5 model is released under the MIT License. This mirror preserves the upstream model terms and records the transformation provenance; it does not claim authorship of the model weights.
- Ornith: https://ornith.ai/
- Official model: https://huggingface.co/ornith-ai/Ornith-1.5-35B-A3B
- Official MLX 4-bit model: https://huggingface.co/ornith-ai/Ornith-1.5-35B-A3B-MLX-4bit
- Task
- Image-Text-to-Text
- Library
- mlx
- Type
- qwen3_5_moe
- License
- mit
- Created
- Aug 28, 2026
- Updated
- Aug 28, 2026