920f9a3709
graft_mtp.py: grafts the 15 base-Qwen3.6 MTP tensors into Heretic2 BF16 (CPU-only). quant_nvfp4.py: llm-compressor NVFP4 (Linear only; GDN/vision/lm-head/norms/MTP kept BF16 per robbatt's deckard recipe + brokkr's spec); text (AEON-baseline) or chat (production, apply_chat_template renders qwen3_coder XML) calib modes. README: fire sequence + gates (GPU window, production calib) + artifacts. Spike gated only on: (1) off-peak Blackwell GPU window, (2) brokkr's production calib.
heretic2-nvfp4-quant — fast char-rp-reasoning seat (NVFP4 + MTP)
Local NVFP4 quant of NEO-CODE = Heretic2-Thinking (Qwen3.6-27B) with the
Qwen3.6 MTP head grafted back, for a ~2.5–4× faster vLLM/MTP
char-rp-reasoning seat (buys reasoning-budget headroom → better GM planning
inside soong's latency window). R36 fast-seat spike, 2026-07-14.
Fleet-first local NVFP4 quant — every other fleet NVFP4 model is pulled pre-quantized; Heretic2 has none published, so we quantize it.
Fire sequence
graft_mtp.py— graft the 15 base-Qwen3.6 MTP tensors into Heretic2 BF16. CPU-only, no GPU window. (Heretic2's finetune dropped the head; config declaresmtp_num_hidden_layers=1but ships 0mtp.*tensors — verified.)quant_nvfp4.py— llm-compressor NVFP4, Linear only; GDN/vision/lm-head/ norms/MTP kept BF16 (robbatt deckard-nvfp4 recipe + MTP). NEEDS a freed Blackwell GPU (~55 GB) + an llmcompressor env (run in a vLLM container:pip install llmcompressoronvllm/vllm-openai:v0.24.0).- baseline:
--calib-mode text --calib neuralmagic/calibration(AEON control) - production:
--calib-mode chat --calib <512-row mix>(brokkr/Dvalin) — rows rendered viaapply_chat_template(enable_thinking=True)so the forward-pass sees the qwen3_coder tool-call XML = the seat's native activations.
- baseline:
- serve (pantheon-27b-mtp-nvfp4 pattern):
vllm --quantization compressed-tensors --speculative-config '{"method":"qwen3_5_mtp","num_speculative_tokens":3}' --reasoning-parser qwen3 --tool-call-parser qwen3_coder --enable-auto-tool-choice. - P00 acceptance (brokkr): soong 9-tool k5 rig on the quant — must hold
~0.967 / perfect
attach_tool. This is the authoritative #355 check, NOT KL (KL can pass while the structured-tool path regresses).
Gates
- GPU window — both ana-ml2 Blackwell GPUs run ~full; NVFP4 is Blackwell-only (irv-ml1's Ampere can't). The ~30–60 min quant needs a brief off-peak window freeing a GPU. Operator's call.
- Production calib — brokkr/Dvalin assembling the 512-row mix; the tool-call-XML
slice (128 rows, 53
attach_tool) is ready. The AEON-baseline is fireable now.
Artifacts (on ana-ml2)
- Heretic2 BF16 (target):
/tank/aimodels/huggingface/hub/models--DavidAU--Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking - base Qwen3.6-27B (MTP source):
/tank/aimodels/huggingface/hub/models--Qwen--Qwen3.6-27B(15 mtp.* tensors, shards 13+15) - AEON-baseline calib:
neuralmagic/calibration(HF) soong-tools-v0.3.13.json— live 9-tool schema (structure source-of-truth; calib uses the PREFIXEDbifrost.soong-lab.*runtime names the seat emits)extract_soong_tools.py— how that schema was pulled from the deployed backend
Serve target
Replaces the current llama.cpp GGUF char-rp-reasoning seat (~59.5 tok/s) once
P00 passes. Deckard stays staged as rollback; the GGUF seat is the fallback until
the NVFP4 seat is validated + cut over.