Ornith-1.5-9B-DFlash2

DFlash2 draft for ornith-ai/Ornith-1.5-9B-MLX-4bit, produced by the no-op-graft + selector-training recipe:

• Trunk: ornith-ai/Ornith-1.5-9B-DFlash (DFlashV1) weights, copied verbatim.
• Convolutions: attention_conv/mlp_conv grafted as identity (unit self-tap, zero dynamic corrections) — the runtime gets identity convs for free.
• Candidate selector: hidden_projection + predecessor/successor codebooks trained on features captured from the quantized 4-bit target (832 samples, top-16 hard-negative margin, convs frozen).

The selector is the trained component — trained on the deployed quant's hidden states, not the bf16 target's, which is why it transfers.

Measured (M5 Pro, opencode_sim n=4)

Draft	serial	packed B4	speedup
Ornith-1.5-9B-DFlash (V1)	~132 tok/s	~161 tok/s	~1.8x
this checkpoint	161.7 tok/s	768.7 tok/s	4.43x

Diverse-traffic pipeline (file-read prompts, 4 concurrent lanes): ~212 tok/s vs V1's ~161 — smaller but real on non-repetitive content.

Serving notes

• architectures: ["DFlash2DraftModel"], hidden 4096, dynamic 1024, conv_group_size 16, block_size 8, selector top_k 16.
• Requires the RichEngine Hidden4096 draft context core (draft_conv_h4096).