Reproducible recipe: serve abliterated Gemma-4-12B (gemma4_unified) at 50-118 tok/s on no-NVLink Blackwell (SM120) via vLLM nightly + ModelOpt FP8/NVFP4 + MTP spec-decode.
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Updated
Jun 7, 2026 - Python
Reproducible recipe: serve abliterated Gemma-4-12B (gemma4_unified) at 50-118 tok/s on no-NVLink Blackwell (SM120) via vLLM nightly + ModelOpt FP8/NVFP4 + MTP spec-decode.
Lna-Lab production pipeline: GGUF -> modelopt-format NVFP4 + working MTP head for vLLM on RTX PRO 6000 Blackwell (SM120). Stages 2 (NVFP4) and 3 (MTP graft) are Lna-Lab originals; stage 1 (GGUF->bf16) reuses li-yifei/gguf-to-nvfp4.
Guide for serving fine-tuned Qwen3.5-27B (dense, NVFP4) on DGX Spark via native vLLM. Includes critical config fixes for modelopt export_hf_checkpoint() that prevent silent FP32 dequantization.
Serve an abliterated Gemma-4-12B at high speeds on Blackwell GPUs without NVLink using vLLM, FP8 quantization, and MTP speculative decoding.
Compatibility matrix between NVIDIA TensorRT Model Optimizer (modelopt) PTQ and HuggingFace Transformers — static dependency scan + per-version probing + signature-drift detection, with styled HTML/notebook reports.
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