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rdtand
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Model Details
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rdtand
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Base
deepreinforce-ai/Ornith-1.0-35B
Quantized
this model
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Supported Functionality
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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).
With speculative decoding (MTP):
bash
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).
Inherits the base model's license — see deepreinforce-ai/Ornith-1.0-35B.
Robert Tand — robert.tand@icloud.com