Models / nemotron_h

NVIDIA-Nemotron-Nano-9B-v2

Reconstructed from its own config.json with no weights read. 429K downloads on Hugging Face.

Our count against the checkpoint

The left number comes from the graph. The right one is the number of scalars in the published weight files. Nothing on this page was tuned to make them agree.

Derived from structure

12.13B

12,126,581,632 parameters

In the published checkpoint

8.89B

8,888,227,328 scalars · safetensors.total, read 2026-03-05

Delta

+36.4%

custom-code This repository ships its own modeling code (`auto_map`, e.g. `configuration_nemotron_h.py`), so `config.json` names a class in the repo rather than an architecture `transformers` defines. The graph below is what those config keys mean under `transformers` semantics, which is not necessarily what the repo's own file builds. A gap here is a statement about what we read, not about the checkpoint.

What it costs to run

Cost is a roofline estimate on the priced GPU for 10 epochs at batch 32 over 50,000 samples (assumed; no dataset attached). GPU fit is fp32 weights plus gradients plus two Adam moments (16 bytes per parameter) with 1.3x headroom; activations are not included and grow with batch size.

Layers

340

Will it forward-pass

Yes

Priced on

A10G (24GB)

Est. one run

$240962.26

Card	Memory
T4 (16GB)	weights + activations	does not fit
A100 (40GB)	weights + activations	does not fit
H100 (80GB)	weights + activations	does not fit

Structure

342 nodes. Output shapes are propagated from the input shape, batch dimension excluded.

	Layer	Type	Output shape
1	Input	Input	1 × 131072
2	Embedding	Embedding	1 × 131072 × 4480
3	RoPE	RoPE	1 × 131072 × 4480
4	RMSNorm_1_1	RMSNorm	1 × 131072 × 4480
5	Attention_1	Grouped Query Attn	1 × 131072 × 4480
6	Add_1_attn	Add	1 × 131072 × 4480
7	RMSNorm_1_2	RMSNorm	1 × 131072 × 4480
8	FFN_1	Feed Forward	1 × 131072 × 4480
9	Add_1_ffn	Add	1 × 131072 × 4480
10	RMSNorm_2_1	RMSNorm	1 × 131072 × 4480
11	Attention_2	Grouped Query Attn	1 × 131072 × 4480
12	Add_2_attn	Add	1 × 131072 × 4480
13	RMSNorm_2_2	RMSNorm	1 × 131072 × 4480
14	FFN_2	Feed Forward	1 × 131072 × 4480
15	Add_2_ffn	Add	1 × 131072 × 4480
16	RMSNorm_3_1	RMSNorm	1 × 131072 × 4480
17	Attention_3	Grouped Query Attn	1 × 131072 × 4480
18	Add_3_attn	Add	1 × 131072 × 4480
19	RMSNorm_3_2	RMSNorm	1 × 131072 × 4480
20	FFN_3	Feed Forward	1 × 131072 × 4480
21	Add_3_ffn	Add	1 × 131072 × 4480
22	RMSNorm_4_1	RMSNorm	1 × 131072 × 4480
23	Attention_4	Grouped Query Attn	1 × 131072 × 4480
24	Add_4_attn	Add	1 × 131072 × 4480
25	RMSNorm_4_2	RMSNorm	1 × 131072 × 4480
26	FFN_4	Feed Forward	1 × 131072 × 4480
27	Add_4_ffn	Add	1 × 131072 × 4480
28	RMSNorm_5_1	RMSNorm	1 × 131072 × 4480
29	Attention_5	Grouped Query Attn	1 × 131072 × 4480
30	Add_5_attn	Add	1 × 131072 × 4480
31	RMSNorm_5_2	RMSNorm	1 × 131072 × 4480
32	FFN_5	Feed Forward	1 × 131072 × 4480
33	Add_5_ffn	Add	1 × 131072 × 4480
34	RMSNorm_6_1	RMSNorm	1 × 131072 × 4480
35	Attention_6	Grouped Query Attn	1 × 131072 × 4480
36	Add_6_attn	Add	1 × 131072 × 4480
37	RMSNorm_6_2	RMSNorm	1 × 131072 × 4480
38	FFN_6	Feed Forward	1 × 131072 × 4480
39	Add_6_ffn	Add	1 × 131072 × 4480
40	RMSNorm_7_1	RMSNorm	1 × 131072 × 4480
41	Attention_7	Grouped Query Attn	1 × 131072 × 4480
42	Add_7_attn	Add	1 × 131072 × 4480
43	RMSNorm_7_2	RMSNorm	1 × 131072 × 4480
44	FFN_7	Feed Forward	1 × 131072 × 4480
45	Add_7_ffn	Add	1 × 131072 × 4480
46	RMSNorm_8_1	RMSNorm	1 × 131072 × 4480
47	Attention_8	Grouped Query Attn	1 × 131072 × 4480
48	Add_8_attn	Add	1 × 131072 × 4480
49	RMSNorm_8_2	RMSNorm	1 × 131072 × 4480
50	FFN_8	Feed Forward	1 × 131072 × 4480
51	Add_8_ffn	Add	1 × 131072 × 4480
52	RMSNorm_9_1	RMSNorm	1 × 131072 × 4480
53	Attention_9	Grouped Query Attn	1 × 131072 × 4480
54	Add_9_attn	Add	1 × 131072 × 4480
55	RMSNorm_9_2	RMSNorm	1 × 131072 × 4480
56	FFN_9	Feed Forward	1 × 131072 × 4480
57	Add_9_ffn	Add	1 × 131072 × 4480
58	RMSNorm_10_1	RMSNorm	1 × 131072 × 4480
59	Attention_10	Grouped Query Attn	1 × 131072 × 4480
60	Add_10_attn	Add	1 × 131072 × 4480
61	RMSNorm_10_2	RMSNorm	1 × 131072 × 4480
62	FFN_10	Feed Forward	1 × 131072 × 4480
63	Add_10_ffn	Add	1 × 131072 × 4480
64	RMSNorm_11_1	RMSNorm	1 × 131072 × 4480
65	Attention_11	Grouped Query Attn	1 × 131072 × 4480
66	Add_11_attn	Add	1 × 131072 × 4480
67	RMSNorm_11_2	RMSNorm	1 × 131072 × 4480
68	FFN_11	Feed Forward	1 × 131072 × 4480
69	Add_11_ffn	Add	1 × 131072 × 4480
70	RMSNorm_12_1	RMSNorm	1 × 131072 × 4480
71	Attention_12	Grouped Query Attn	1 × 131072 × 4480
72	Add_12_attn	Add	1 × 131072 × 4480
73	RMSNorm_12_2	RMSNorm	1 × 131072 × 4480
74	FFN_12	Feed Forward	1 × 131072 × 4480
75	Add_12_ffn	Add	1 × 131072 × 4480
76	RMSNorm_13_1	RMSNorm	1 × 131072 × 4480
77	Attention_13	Grouped Query Attn	1 × 131072 × 4480
78	Add_13_attn	Add	1 × 131072 × 4480
79	RMSNorm_13_2	RMSNorm	1 × 131072 × 4480
80	FFN_13	Feed Forward	1 × 131072 × 4480
81	Add_13_ffn	Add	1 × 131072 × 4480
82	RMSNorm_14_1	RMSNorm	1 × 131072 × 4480
83	Attention_14	Grouped Query Attn	1 × 131072 × 4480
84	Add_14_attn	Add	1 × 131072 × 4480
85	RMSNorm_14_2	RMSNorm	1 × 131072 × 4480
86	FFN_14	Feed Forward	1 × 131072 × 4480
87	Add_14_ffn	Add	1 × 131072 × 4480
88	RMSNorm_15_1	RMSNorm	1 × 131072 × 4480
89	Attention_15	Grouped Query Attn	1 × 131072 × 4480
90	Add_15_attn	Add	1 × 131072 × 4480
91	RMSNorm_15_2	RMSNorm	1 × 131072 × 4480
92	FFN_15	Feed Forward	1 × 131072 × 4480
93	Add_15_ffn	Add	1 × 131072 × 4480
94	RMSNorm_16_1	RMSNorm	1 × 131072 × 4480
95	Attention_16	Grouped Query Attn	1 × 131072 × 4480
96	Add_16_attn	Add	1 × 131072 × 4480
97	RMSNorm_16_2	RMSNorm	1 × 131072 × 4480
98	FFN_16	Feed Forward	1 × 131072 × 4480
99	Add_16_ffn	Add	1 × 131072 × 4480
100	RMSNorm_17_1	RMSNorm	1 × 131072 × 4480
101	Attention_17	Grouped Query Attn	1 × 131072 × 4480
102	Add_17_attn	Add	1 × 131072 × 4480
103	RMSNorm_17_2	RMSNorm	1 × 131072 × 4480
104	FFN_17	Feed Forward	1 × 131072 × 4480
105	Add_17_ffn	Add	1 × 131072 × 4480
106	RMSNorm_18_1	RMSNorm	1 × 131072 × 4480
107	Attention_18	Grouped Query Attn	1 × 131072 × 4480
108	Add_18_attn	Add	1 × 131072 × 4480
109	RMSNorm_18_2	RMSNorm	1 × 131072 × 4480
110	FFN_18	Feed Forward	1 × 131072 × 4480
111	Add_18_ffn	Add	1 × 131072 × 4480
112	RMSNorm_19_1	RMSNorm	1 × 131072 × 4480
113	Attention_19	Grouped Query Attn	1 × 131072 × 4480
114	Add_19_attn	Add	1 × 131072 × 4480
115	RMSNorm_19_2	RMSNorm	1 × 131072 × 4480
116	FFN_19	Feed Forward	1 × 131072 × 4480
117	Add_19_ffn	Add	1 × 131072 × 4480
118	RMSNorm_20_1	RMSNorm	1 × 131072 × 4480
119	Attention_20	Grouped Query Attn	1 × 131072 × 4480
120	Add_20_attn	Add	1 × 131072 × 4480
121	RMSNorm_20_2	RMSNorm	1 × 131072 × 4480
122	FFN_20	Feed Forward	1 × 131072 × 4480
123	Add_20_ffn	Add	1 × 131072 × 4480
124	RMSNorm_21_1	RMSNorm	1 × 131072 × 4480
125	Attention_21	Grouped Query Attn	1 × 131072 × 4480
126	Add_21_attn	Add	1 × 131072 × 4480
127	RMSNorm_21_2	RMSNorm	1 × 131072 × 4480
128	FFN_21	Feed Forward	1 × 131072 × 4480
129	Add_21_ffn	Add	1 × 131072 × 4480
130	RMSNorm_22_1	RMSNorm	1 × 131072 × 4480
131	Attention_22	Grouped Query Attn	1 × 131072 × 4480
132	Add_22_attn	Add	1 × 131072 × 4480
133	RMSNorm_22_2	RMSNorm	1 × 131072 × 4480
134	FFN_22	Feed Forward	1 × 131072 × 4480
135	Add_22_ffn	Add	1 × 131072 × 4480
136	RMSNorm_23_1	RMSNorm	1 × 131072 × 4480
137	Attention_23	Grouped Query Attn	1 × 131072 × 4480
138	Add_23_attn	Add	1 × 131072 × 4480
139	RMSNorm_23_2	RMSNorm	1 × 131072 × 4480
140	FFN_23	Feed Forward	1 × 131072 × 4480
141	Add_23_ffn	Add	1 × 131072 × 4480
142	RMSNorm_24_1	RMSNorm	1 × 131072 × 4480
143	Attention_24	Grouped Query Attn	1 × 131072 × 4480
144	Add_24_attn	Add	1 × 131072 × 4480
145	RMSNorm_24_2	RMSNorm	1 × 131072 × 4480
146	FFN_24	Feed Forward	1 × 131072 × 4480
147	Add_24_ffn	Add	1 × 131072 × 4480
148	RMSNorm_25_1	RMSNorm	1 × 131072 × 4480
149	Attention_25	Grouped Query Attn	1 × 131072 × 4480
150	Add_25_attn	Add	1 × 131072 × 4480
151	RMSNorm_25_2	RMSNorm	1 × 131072 × 4480
152	FFN_25	Feed Forward	1 × 131072 × 4480
153	Add_25_ffn	Add	1 × 131072 × 4480
154	RMSNorm_26_1	RMSNorm	1 × 131072 × 4480
155	Attention_26	Grouped Query Attn	1 × 131072 × 4480
156	Add_26_attn	Add	1 × 131072 × 4480
157	RMSNorm_26_2	RMSNorm	1 × 131072 × 4480
158	FFN_26	Feed Forward	1 × 131072 × 4480
159	Add_26_ffn	Add	1 × 131072 × 4480
160	RMSNorm_27_1	RMSNorm	1 × 131072 × 4480
161	Attention_27	Grouped Query Attn	1 × 131072 × 4480
162	Add_27_attn	Add	1 × 131072 × 4480
163	RMSNorm_27_2	RMSNorm	1 × 131072 × 4480
164	FFN_27	Feed Forward	1 × 131072 × 4480
165	Add_27_ffn	Add	1 × 131072 × 4480
166	RMSNorm_28_1	RMSNorm	1 × 131072 × 4480
167	Attention_28	Grouped Query Attn	1 × 131072 × 4480
168	Add_28_attn	Add	1 × 131072 × 4480
169	RMSNorm_28_2	RMSNorm	1 × 131072 × 4480
170	FFN_28	Feed Forward	1 × 131072 × 4480
171	Add_28_ffn	Add	1 × 131072 × 4480
172	RMSNorm_29_1	RMSNorm	1 × 131072 × 4480
173	Attention_29	Grouped Query Attn	1 × 131072 × 4480
174	Add_29_attn	Add	1 × 131072 × 4480
175	RMSNorm_29_2	RMSNorm	1 × 131072 × 4480
176	FFN_29	Feed Forward	1 × 131072 × 4480
177	Add_29_ffn	Add	1 × 131072 × 4480
178	RMSNorm_30_1	RMSNorm	1 × 131072 × 4480
179	Attention_30	Grouped Query Attn	1 × 131072 × 4480
180	Add_30_attn	Add	1 × 131072 × 4480
181	RMSNorm_30_2	RMSNorm	1 × 131072 × 4480
182	FFN_30	Feed Forward	1 × 131072 × 4480
183	Add_30_ffn	Add	1 × 131072 × 4480
184	RMSNorm_31_1	RMSNorm	1 × 131072 × 4480
185	Attention_31	Grouped Query Attn	1 × 131072 × 4480
186	Add_31_attn	Add	1 × 131072 × 4480
187	RMSNorm_31_2	RMSNorm	1 × 131072 × 4480
188	FFN_31	Feed Forward	1 × 131072 × 4480
189	Add_31_ffn	Add	1 × 131072 × 4480
190	RMSNorm_32_1	RMSNorm	1 × 131072 × 4480
191	Attention_32	Grouped Query Attn	1 × 131072 × 4480
192	Add_32_attn	Add	1 × 131072 × 4480
193	RMSNorm_32_2	RMSNorm	1 × 131072 × 4480
194	FFN_32	Feed Forward	1 × 131072 × 4480
195	Add_32_ffn	Add	1 × 131072 × 4480
196	RMSNorm_33_1	RMSNorm	1 × 131072 × 4480
197	Attention_33	Grouped Query Attn	1 × 131072 × 4480
198	Add_33_attn	Add	1 × 131072 × 4480
199	RMSNorm_33_2	RMSNorm	1 × 131072 × 4480
200	FFN_33	Feed Forward	1 × 131072 × 4480
201	Add_33_ffn	Add	1 × 131072 × 4480
202	RMSNorm_34_1	RMSNorm	1 × 131072 × 4480
203	Attention_34	Grouped Query Attn	1 × 131072 × 4480
204	Add_34_attn	Add	1 × 131072 × 4480
205	RMSNorm_34_2	RMSNorm	1 × 131072 × 4480
206	FFN_34	Feed Forward	1 × 131072 × 4480
207	Add_34_ffn	Add	1 × 131072 × 4480
208	RMSNorm_35_1	RMSNorm	1 × 131072 × 4480
209	Attention_35	Grouped Query Attn	1 × 131072 × 4480
210	Add_35_attn	Add	1 × 131072 × 4480
211	RMSNorm_35_2	RMSNorm	1 × 131072 × 4480
212	FFN_35	Feed Forward	1 × 131072 × 4480
213	Add_35_ffn	Add	1 × 131072 × 4480
214	RMSNorm_36_1	RMSNorm	1 × 131072 × 4480
215	Attention_36	Grouped Query Attn	1 × 131072 × 4480
216	Add_36_attn	Add	1 × 131072 × 4480
217	RMSNorm_36_2	RMSNorm	1 × 131072 × 4480
218	FFN_36	Feed Forward	1 × 131072 × 4480
219	Add_36_ffn	Add	1 × 131072 × 4480
220	RMSNorm_37_1	RMSNorm	1 × 131072 × 4480
221	Attention_37	Grouped Query Attn	1 × 131072 × 4480
222	Add_37_attn	Add	1 × 131072 × 4480
223	RMSNorm_37_2	RMSNorm	1 × 131072 × 4480
224	FFN_37	Feed Forward	1 × 131072 × 4480
225	Add_37_ffn	Add	1 × 131072 × 4480
226	RMSNorm_38_1	RMSNorm	1 × 131072 × 4480
227	Attention_38	Grouped Query Attn	1 × 131072 × 4480
228	Add_38_attn	Add	1 × 131072 × 4480
229	RMSNorm_38_2	RMSNorm	1 × 131072 × 4480
230	FFN_38	Feed Forward	1 × 131072 × 4480
231	Add_38_ffn	Add	1 × 131072 × 4480
232	RMSNorm_39_1	RMSNorm	1 × 131072 × 4480
233	Attention_39	Grouped Query Attn	1 × 131072 × 4480
234	Add_39_attn	Add	1 × 131072 × 4480
235	RMSNorm_39_2	RMSNorm	1 × 131072 × 4480
236	FFN_39	Feed Forward	1 × 131072 × 4480
237	Add_39_ffn	Add	1 × 131072 × 4480
238	RMSNorm_40_1	RMSNorm	1 × 131072 × 4480
239	Attention_40	Grouped Query Attn	1 × 131072 × 4480
240	Add_40_attn	Add	1 × 131072 × 4480
241	RMSNorm_40_2	RMSNorm	1 × 131072 × 4480
242	FFN_40	Feed Forward	1 × 131072 × 4480
243	Add_40_ffn	Add	1 × 131072 × 4480
244	RMSNorm_41_1	RMSNorm	1 × 131072 × 4480
245	Attention_41	Grouped Query Attn	1 × 131072 × 4480
246	Add_41_attn	Add	1 × 131072 × 4480
247	RMSNorm_41_2	RMSNorm	1 × 131072 × 4480
248	FFN_41	Feed Forward	1 × 131072 × 4480
249	Add_41_ffn	Add	1 × 131072 × 4480
250	RMSNorm_42_1	RMSNorm	1 × 131072 × 4480
251	Attention_42	Grouped Query Attn	1 × 131072 × 4480
252	Add_42_attn	Add	1 × 131072 × 4480
253	RMSNorm_42_2	RMSNorm	1 × 131072 × 4480
254	FFN_42	Feed Forward	1 × 131072 × 4480
255	Add_42_ffn	Add	1 × 131072 × 4480
256	RMSNorm_43_1	RMSNorm	1 × 131072 × 4480
257	Attention_43	Grouped Query Attn	1 × 131072 × 4480
258	Add_43_attn	Add	1 × 131072 × 4480
259	RMSNorm_43_2	RMSNorm	1 × 131072 × 4480
260	FFN_43	Feed Forward	1 × 131072 × 4480
261	Add_43_ffn	Add	1 × 131072 × 4480
262	RMSNorm_44_1	RMSNorm	1 × 131072 × 4480
263	Attention_44	Grouped Query Attn	1 × 131072 × 4480
264	Add_44_attn	Add	1 × 131072 × 4480
265	RMSNorm_44_2	RMSNorm	1 × 131072 × 4480
266	FFN_44	Feed Forward	1 × 131072 × 4480
267	Add_44_ffn	Add	1 × 131072 × 4480
268	RMSNorm_45_1	RMSNorm	1 × 131072 × 4480
269	Attention_45	Grouped Query Attn	1 × 131072 × 4480
270	Add_45_attn	Add	1 × 131072 × 4480
271	RMSNorm_45_2	RMSNorm	1 × 131072 × 4480
272	FFN_45	Feed Forward	1 × 131072 × 4480
273	Add_45_ffn	Add	1 × 131072 × 4480
274	RMSNorm_46_1	RMSNorm	1 × 131072 × 4480
275	Attention_46	Grouped Query Attn	1 × 131072 × 4480
276	Add_46_attn	Add	1 × 131072 × 4480
277	RMSNorm_46_2	RMSNorm	1 × 131072 × 4480
278	FFN_46	Feed Forward	1 × 131072 × 4480
279	Add_46_ffn	Add	1 × 131072 × 4480
280	RMSNorm_47_1	RMSNorm	1 × 131072 × 4480
281	Attention_47	Grouped Query Attn	1 × 131072 × 4480
282	Add_47_attn	Add	1 × 131072 × 4480
283	RMSNorm_47_2	RMSNorm	1 × 131072 × 4480
284	FFN_47	Feed Forward	1 × 131072 × 4480
285	Add_47_ffn	Add	1 × 131072 × 4480
286	RMSNorm_48_1	RMSNorm	1 × 131072 × 4480
287	Attention_48	Grouped Query Attn	1 × 131072 × 4480
288	Add_48_attn	Add	1 × 131072 × 4480
289	RMSNorm_48_2	RMSNorm	1 × 131072 × 4480
290	FFN_48	Feed Forward	1 × 131072 × 4480
291	Add_48_ffn	Add	1 × 131072 × 4480
292	RMSNorm_49_1	RMSNorm	1 × 131072 × 4480
293	Attention_49	Grouped Query Attn	1 × 131072 × 4480
294	Add_49_attn	Add	1 × 131072 × 4480
295	RMSNorm_49_2	RMSNorm	1 × 131072 × 4480
296	FFN_49	Feed Forward	1 × 131072 × 4480
297	Add_49_ffn	Add	1 × 131072 × 4480
298	RMSNorm_50_1	RMSNorm	1 × 131072 × 4480
299	Attention_50	Grouped Query Attn	1 × 131072 × 4480
300	Add_50_attn	Add	1 × 131072 × 4480
301	RMSNorm_50_2	RMSNorm	1 × 131072 × 4480
302	FFN_50	Feed Forward	1 × 131072 × 4480
303	Add_50_ffn	Add	1 × 131072 × 4480
304	RMSNorm_51_1	RMSNorm	1 × 131072 × 4480
305	Attention_51	Grouped Query Attn	1 × 131072 × 4480
306	Add_51_attn	Add	1 × 131072 × 4480
307	RMSNorm_51_2	RMSNorm	1 × 131072 × 4480
308	FFN_51	Feed Forward	1 × 131072 × 4480
309	Add_51_ffn	Add	1 × 131072 × 4480
310	RMSNorm_52_1	RMSNorm	1 × 131072 × 4480
311	Attention_52	Grouped Query Attn	1 × 131072 × 4480
312	Add_52_attn	Add	1 × 131072 × 4480
313	RMSNorm_52_2	RMSNorm	1 × 131072 × 4480
314	FFN_52	Feed Forward	1 × 131072 × 4480
315	Add_52_ffn	Add	1 × 131072 × 4480
316	RMSNorm_53_1	RMSNorm	1 × 131072 × 4480
317	Attention_53	Grouped Query Attn	1 × 131072 × 4480
318	Add_53_attn	Add	1 × 131072 × 4480
319	RMSNorm_53_2	RMSNorm	1 × 131072 × 4480
320	FFN_53	Feed Forward	1 × 131072 × 4480
321	Add_53_ffn	Add	1 × 131072 × 4480
322	RMSNorm_54_1	RMSNorm	1 × 131072 × 4480
323	Attention_54	Grouped Query Attn	1 × 131072 × 4480
324	Add_54_attn	Add	1 × 131072 × 4480
325	RMSNorm_54_2	RMSNorm	1 × 131072 × 4480
326	FFN_54	Feed Forward	1 × 131072 × 4480
327	Add_54_ffn	Add	1 × 131072 × 4480
328	RMSNorm_55_1	RMSNorm	1 × 131072 × 4480
329	Attention_55	Grouped Query Attn	1 × 131072 × 4480
330	Add_55_attn	Add	1 × 131072 × 4480
331	RMSNorm_55_2	RMSNorm	1 × 131072 × 4480
332	FFN_55	Feed Forward	1 × 131072 × 4480
333	Add_55_ffn	Add	1 × 131072 × 4480
334	RMSNorm_56_1	RMSNorm	1 × 131072 × 4480
335	Attention_56	Grouped Query Attn	1 × 131072 × 4480
336	Add_56_attn	Add	1 × 131072 × 4480
337	RMSNorm_56_2	RMSNorm	1 × 131072 × 4480
338	FFN_56	Feed Forward	1 × 131072 × 4480
339	Add_56_ffn	Add	1 × 131072 × 4480
340	Final_RMSNorm	RMSNorm	1 × 131072 × 4480
341	LM_Head	Linear	1 × 131072 × 131072
342	Output	Output	1 × 131072 × 131072

What the verifier says

infoAt 56 stacked attention layers, residual-branch outputs add up; unscaled init lets activation variance grow with depth. GPT-2/LLaMA-family models scale the residual projections by depth (N(0, 0.02 / √(2L))). Fix: Scale residual output projections by depth: nn.init.normal_(w, std=0.02 / math.sqrt(2 * n_layers))
deep-attention-default-init

Do this to your own model

Same numbers, on a model in your repo, in one command. No account.

pip install neurarch-trace
neurarch-trace nvidia/NVIDIA-Nemotron-Nano-9B-v2 --plan --share

Paste a model instead Markdown twin Index JSON POST /api/v1/plan

Other nemotron_h checkpoints

NVIDIA-Nemotron-3-Nano-30B-A3B-BF16

102B derived · +224% against the checkpoint

NVIDIA-Nemotron-3-Nano-30B-A3B-FP8

102B derived · +224% against the checkpoint

NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4

102B derived · +461% against the checkpoint

NVIDIA-Nemotron-3-Super-120B-A12B-BF16

1496B derived · +1110% against the checkpoint