NVFP4-everything: quantize all 2D Linear weights including attention and lm_head

fp8_to_nvfp4_streaming.py

@@ -54,22 +54,30 @@ from tqdm import tqdm
 # Classification: which tensors do we quantize, which do we preserve?
 # ---------------------------------------------------------------------------
 
+# NVFP4-everything: only preserve 1D/non-weight tensors that can't be NVFP4
 PRESERVE_REGEXES = [
-    r".*lm_head.*",
-    r".*embed_tokens.*",
-    r".*\.(mlp|ffn)\.gate(\.weight)?$",      # MoE router (NOT gate_proj)
-    r".*norm.*",
-    r".*indexer.*",                    # V3.2 DSA / V4 CSA indexer
-    r".*hyper_conn.*",                 # V4 mHC
-    r".*\.mhc.*",
-    r".*hc_attn.*",                    # V4 hyper-connection attn
-    r".*hc_ffn.*",                     # V4 hyper-connection ffn
-    r".*hc_head.*",                    # V4 hyper-connection head
-    r".*scoring.*",
-    r".*attn_sink.*",                  # V4 attention sink
-    r".*compressor\.ape.*",            # V4 compressor absolute pos encoding
-    r".*tid2eid.*",                    # V4 MoE token-to-expert mapping
+    r".*embed_tokens.*",               # embeddings (kept in original precision)
+    r".*\.(mlp|ffn)\.gate(\.weight)?$",      # MoE router (1D or small gate, not a GEMM weight)
+    r".*norm.*",                       # all norms (1D)
+    r".*indexer.*",                    # V4 CSA indexer (non-GEMM)
+    r".*scoring.*",                    # V4 scoring tensors
+    r".*attn_sink.*",                  # V4 attention sink (scalar/1D)
+    r".*compressor\.ape.*",            # V4 compressor APE (1D)
+    r".*tid2eid.*",                    # V4 MoE token-to-expert mapping (1D)
     r".*\.bias$",                      # any biases
+    r".*hc_attn_base.*",               # V4 hyper-connection scalars
+    r".*hc_attn_fn.*",
+    r".*hc_ffn_base.*",
+    r".*hc_ffn_fn.*",
+    r".*hc_head_scale.*",
+    r".*compressor\.wgate\.weight$",  # V4 compressor gate (small, preserve)
+    r".*compressor\.wkv\.weight$",    # V4 compressor KV proj (small, preserve)
+    r".*indexer\.wq_b\.weight$",      # V4 indexer projections (small, preserve)
+    r".*indexer\.wkv\.weight$",
+    r".*indexer\.compressor\.wkv\.weight$",
+    r".*indexer\.gate_proj\.weight$",
+    r".*indexer\.compressor\.wgate\.weight$",
+    r".*indexer\.q_b_proj\.weight$",
 ]
 PRESERVE_RE = re.compile("|".join(f"(?:{p})" for p in PRESERVE_REGEXES))