Ornith 1.0 35B bf16 Full precision (bfloat16) MLX build of deepreinforce ai/Ornith 1.0 35B, produced with mlx vlm 0.6.3. Full multimodal: vision encoder + language model, no precision loss. For Apple Silicon. Runs in mlx vlm or any MLX app. ≈70 GB on disk; fits in 128 GB unified memory. Use a quantized sibling (3 , 4 , 5 , 6 or 8 bit) on smaller machines. Conversion note (MoE expert fusion) Ornith stores its 256 MoE experts unfused (per expert), but mlx vlm's qwen3 5 moe loader expects them fused/batched. A sanitize monkeypatch was required to stack the experts before conversion; without it the conversion failed. Usage Conversion check Smoke tested after conversion: coherent on both an image prompt (correctly read an evaluation bar chart) and a text reasoning prompt ( 17 24 solved as 408), no repetition loop. 69 tok/s generation, peak 72 GB on a Macbook Pro M5 Max 128GB 40 GPU. Refer to the original model card for architecture, benchmarks, license, and intended use.
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