Ornith-1.0-35B-PrismaAURA-4.75bit-vllm-MTP

Ornith-1.0-35B — PrismaAURA 4.75-bit (mixed NVFP4/FP8/BF16) + MTP

Mixed-precision quantization of deepreinforce-ai/Ornith-1.0-35B via PrismaAURA — per-Linear bit allocation selected on real end-to-end KL, shipped as a stock compressed-tensors checkpoint that vanilla vLLM serves with no forked runtime and no custom kernels. Includes a Multi-Token-Prediction (MTP) head for speculative decoding.

MTP note

The base Ornith checkpoint ships no MTP weights (the fine-tune stripped them). This artifact grafts the base Qwen3.5-35B-A3B MTP head (BF16), the same head every community MTP-Ornith variant uses. Because it predicts the base distribution rather than Ornith's RL-tuned one, acceptance is a bit lower than a native head would give — but still strong (91% at position 0).

Serving

With speculative decoding (MTP):

vllm serve rdtand/Ornith-1.0-35B-PrismaAURA-4.75bit-vllm-MTP \
  --trust-remote-code --attention-backend flashinfer --moe-backend marlin \
  --gpu-memory-utilization 0.85 --max-model-len 32768 --max-num-batched-tokens 8192 \
  --enable-chunked-prefill \
  --speculative-config '{"method":"mtp","num_speculative_tokens":3}'

Without MTP (e.g. for clean perplexity measurement — spec-decode poisons logprob metrics), drop the --speculative-config flag. --max-num-batched-tokens >= 2096 is required (Gated-DeltaNet page size).

License

Inherits the base model's license — see deepreinforce-ai/Ornith-1.0-35B.

Contact

Robert Tand — [email protected]