biondizzle b1cf4232ee feat: wire DeepGEMM NVFP4 mega_moe kernel into vLLM patch ...

- DeepseekV4MegaMoEExperts now uses native NVFP4 path
- finalize_weights: transform_nvfp4_weights_for_mega_moe() instead of
  NVFP4→BF16→MXFP4 conversion
- forward: fp8_nvfp4_mega_moe() with recipe=(1,1,16)
- Experts stay in NVFP4. No MXFP4 conversion. Period.

2026-05-11 06:22:11 +00:00

..

deepseek_v4.py

feat: wire DeepGEMM NVFP4 mega_moe kernel into vLLM patch

2026-05-11 06:22:11 +00:00

deepseek_v4.py.bak

S11: Fixed substr mapping, stacking, suffix, and o_a_proj - loads weights but attention forward uses FP8 einsum incompatible with NVFP4

2026-05-10 17:45:53 +00:00

deepseek_v4.py.s11

S11: Fixed substr mapping, stacking, suffix, and o_a_proj - loads weights but attention forward uses FP8 einsum incompatible with NVFP4

2026-05-10 17:45:53 +00:00

patch_finegrained_fp8_blackwell.py

Add BF16 upcast script and Blackwell DeepGEMM patch

2026-05-07 14:25:30 +00:00

patch_vllm_weights.py

vLLM serving: patched deepseek_v4.py, disabled mega_moe, updated docs

2026-05-10 16:14:17 +00:00

quant_module_patched.py

Add ModelOpt NVFP4 pipeline: patch, run script, README

2026-05-07 07:22:54 +00:00